Appendix A: Sources of Information

The most convenient sources of macroeconomic data for use in industry studies include the following regular U.S. Department of Commerce publications: Survey of Current Business, containing personal-consumption expenditure figures for the preceding 4 years U.S. Labor Department, Monthly Review and Handbook of Labor Statistics, for articles and data on labor and employment issues U.S. Census Selected Services, which contains regional data on revenues, employ- ment, and productivity U.S. Statistical Abstract for historical series U.S. Industrial Outlook, published every year with forecasts for the next 5 years. Information on specific travel business topics is also widely available in the following regularly published nongovernment-sponsored magazines, newspapers, journals, and Web sites.

Advertising Age Journal of Hospitality and Tourism Management Airfinance Euro Money Yearbook Journal of Hospitality and Tourism Technology Airfinance Journal Journal of Sustainable Tourism Business Journal of Transportation and Statistics Council Intl. web site(www.aci-na.org) Journal of Transport Economics and Policy (continued)

© Springer International Publishing Switzerland 2016 267 H.L. Vogel, Travel Industry Economics, DOI 10.1007/978-3-319-27475-1 268 Appendix A: Sources of Information

Airport World Journal of Travel Research Annals of Tourism Research Journal of Travel Research ATA Handbook and Web site (www.air-trans Lodging/Hospitality port.org) Aviation Daily Lodging/Hospitality Aviation & Aerospace Almanac www.Lodgingresearch.com Hotels Office of Travel & Tourism Industries Hotel & Motel Management PlaneBusiness.com HotelsNewsNow.com Tourism Economics ICAO web site (www.ICAO.org) Tourism Management International Journal of Hospitality Travel Agent Management International Journal of Tourism Research Travel & Tourism Analyst (www.t-ti.com) Journal of Ecotourism World Airline News Journal of Gambling Studies World Tourism Organization Yearbook

See also Global Airline Industry Program, Airline Data Project, http://web.mit.edu/ airlinedata/www/default.html Appendix B: Valuation Concepts

The valuation approaches discussed in Sect. 1.6 may be broadly applied to any asset class. However, travel industry analysts will also encounter financial notions of internal rates of return (IRR) and economic value added (EVA). The objective here is not to replicate the detail that would be provided in standard texts on financial theory and practice, but to provide a brief introduction to the basic concepts. Internal Rate of Return The time value of money is central to all valuation calculations, which must include the number of periods, n, over which cash flows in or out; present value, pv; future value, fv; and an interest rate, r. Using these elements, project investments are decided on the basis of whether the required rate of return—the return in excess of the project’s cost of capital—will be earned and whether such a return is by comparison above those that might be earned by other projects also competing for the same capital at the same time. This required rate of return may also be further specified as the required return to debt capital, k;to equity capital, k; or to a weighted average of both. In ranking of alternative investment projects, whether involving a tangible asset such as a new airplane or less tangible assets such as landing rights, an internal rate of return (IRR) analysis is usually helpful, if not always totally decisive. The IRR is defined as the rate of discount, k, which makes the net present value (NPV) equal to zero. Because an increase of the discount rate (i.e., required rate of return) arith- metically decreases the NPV of a project, it is then possible through trial and error to determine the IRR at which a project’s NPV declines to zero. Assuming that the project is financed through equity only, then the discovered IRR provides an estimated return on equity (ROE). If the ROE is above the cost of equity capital, ke, the project should be accepted. If it is equal to the cost of equity capital, an investor might be indifferent to its prospects. And certainly, the project would be rejected if the IRR were below ke. This approach will normally lead to decisions that are consistent with a strategy of maximizing NPV, but there are circumstances when this will not always be true. For example, it is possible that no IRR can be determined. Moreover, it is possible

© Springer International Publishing Switzerland 2016 269 H.L. Vogel, Travel Industry Economics, DOI 10.1007/978-3-319-27475-1 270 Appendix B: Valuation Concepts that mutually exclusive alternative projects are being considered. Rankings based on NPV alone would provide an immediate decision, whereas rankings based on IRRs suffer from problems of scale and from assumptions concerning the reinvest- ment rate. Although IRR may show the highest rate of return, it does not indicate the number of dollars of value that might be created. And it is possible that a project’s cash flow timing is such that the NPV never falls to zero or that the NPV crosses the horizontal axis and drops to zero more than once, thereby producing multiple IRRs. Obviously, a project with an IRR of 40 % creating only $100 of NPV should not be chosen over a project with a 25 % IRR but that creates $500 of NPV. The IRR method also makes the implicit assumption that a project’s cash flows are, over the life of the investment, able to be reinvested at the same rate as the IRR. Usually, such an assumption is unrealistic. Appendix C: Major Games of Chance and Slots

In studying the financial economics of gaming, it is essential to have at least a cursory knowledge of how the major games are played. This appendix by no means intended as a complete guide. Many websites and widely available books, including Schwartz (2006) on the history of gambling, contain far greater detail concerning the finer points of play strategy and money management (i.e., the number of units wagered at each betting decision).1 Tax consequences may also have some relevance.2

Blackjack

In blackjack, alternatively known as 21 or vingt-et-un, the player’s goal is to receive cards totaling more than those of the dealer, but not exceeding 21—and to do this before the dealer has to show his or her hand. An ace card can be counted as either 1 or 11, other numbers count as their actual values, and picture cards count as 10. Suits do not matter. The payoff to a winning player is equivalent to the amount bet

1 Economists familiar with the efficient-market hypothesis will recognize many of the concepts (e.g., martingales) that are involved in money management. A martingale is any system of trying to make up losses in previous bets by doubling or otherwise increasing the amount bet. The pyramid or D’Alembert system is also popular. Martingales and the importance of the Kelly criterion in portfolio management are discussed in Poundstone (2005, pp. 190–201.) The criterion says “When faced with a choice of wagers or investments, choose the one with the highest geometric mean of outcomes.” This is closely related to the Kelly formula for bet size (i.e., fraction of bankroll to be wagered), which is edge/odds, where edge is the amount expected to be won on a wager placed over and over again with the same probabilities (Poundstone 2005, p. 72). 2 Players should also be aware that the IRS requires bingo and slot-machine winners of more than $1200 and keno winners of more than $1500 to file form W-2G. In the case of lotteries and racetrack winners, withholding of 20 % for federal taxes may begin at $1000.

© Springer International Publishing Switzerland 2016 271 H.L. Vogel, Travel Industry Economics, DOI 10.1007/978-3-319-27475-1 272 Appendix C: Major Games of Chance and Slots

(i.e., even money), except in the case of “blackjack” (a “natural” 21 on the first two cards), when the payoff is three units to two. The game operator’s advantage in blackjack is difficult to compute at any point of play. However, from the top of a deck, blackjack ordinarily provides the house with an edge of a little more than 2 %.3 As the game progresses the house edge (which depends importantly on the fact that the dealer turns over his cards after the player has gone bust) may disappear, and a skilled card counter can take advantage of such moments by increasing the size of the bet at that time. Blackjack is thus the only casino game that can be beaten by players and it is this well-advertised fact that has made blackjack the most popular of casino table games. To win consistently, skills in card counting, in play strategy, and in money management must be employed simultaneously in the typical high-speed, pressur- ized casino environment.4 Because attainment of such skills requires innate ability in mathematics and extensive study and practice (the patience for which is not apt to be found in most players), however, the threat to casino profits from self- proclaimed card counters is usually more imagined than real. The presence of card counters has nonetheless tended to unnerve managements and rather than simply foiling recognized counters by setting low betting limits, casinos have devised a multitude of card-cutting and multideck variations.

Craps

Craps has long been a favorite in American casinos and, along with poker, is a quintessential American game. It evolved from the English game called hazard, and was adopted and refined in New Orleans in the early 1800s. Thereafter it spread to immigrant neighborhoods on the East Coast. In contrast to 21, in which probability calculations are especially complicated, the house edge in bank craps as regularly conducted in casinos can be readily computed. Two cubes (dice)—each die’s surface marked one through six with embedded dots—are thrown by the player (“shooter”) against a backboard on the opposite side of the table. Betting decisions are dependent on the sum of dots on the top surfaces of the dice after they come to rest. There are 36 possible outcomes (6 Â 6), and the probabilities of a number being thrown are measured against those outcomes. With two cubes, there are more ways (six) to make a 7 (i.e., 1:6, 2:5, 3:4, 4:3, 5:2, 6:1) than to make any other number, and craps uses this as a central theme for decision making. So-called front-line bets in craps generate a house edge of 1.41 %, calculated by the following method:

3 Estimates are approximate and assume application of basic strategy. 4 Mezrich (2002) describes how sophisticated card counting works in practice. Appendix C: Major Games of Chance and Slots 273

Assume a perfect dice shooter on each new comeout roll throws each of the 11 numbers exactly as often as predicted for the long run by probability theory. To avoid complicated arithmetic with fractions and to derive a lowest common multiple, multiply 36 possible outcomes by 55, which is 1980. Then, out of 1980 throws, a 7 will appear 6/36 of the time (i.e., 330 times). Similarly, a 4 will be made 3/36 of the time (or 165 times), and so forth. After adding all winning figures there will be 976 winning rolls and 1004 losing rolls; the house edge is thus the difference of 28 rolls out of 1980, or 1.41 %.

Roulette

Historians disagree on the origin of roulette. Some say it was invented by the French mathematician Blaise Pascal in 1655; others support more arcane theories. In any event, the game has evolved into European and American versions; the European wheel has a single zero, whereas the American one has zero and double zero. Mixed in standardized format around the roulette wheel are the numbers 1 through 36 and, in addition, depending on the version, either zero or both zero and double zero. The numbers on the wheel have adjacent background colors that alternate red and black and are arranged so that alternate low and high, odd and even, and red and black numbers are as mathematically balanced as possible. A perfect balance cannot be achieved because the sum of the numbers 1 through 36 is 666; the odd numbers sum to 324, and the even numbers sum to 342. By placing one or more chips on a number, color, or odd or even, the player is betting that a ball spinning near the rim of the wheel will stop on that number, color, or number type. Payoffs on winning odd-even or black-red bets are 1:1, but for a specific number the payoff is 35:1. With an American double-zero wheel, a total of 38 positions are possible, and so the correct odds are 37:1. Thus, the casino keeps 2/38 (5.26 %) in the American game or 1/37 (2.70 %) in the European game. Other betting variations that are often offered by casinos normally do not significantly affect the casino’s percentages. The en prison option reduces the house advantage by half on even-money bets (i.e., color, high-low number, or odd-even). On such bets, when zero or double zero is the outcome of the last spin of the wheel, players may settle for half the original wager or let the original amount ride (imprison the wager). If the choice is to let it ride and the following spin is a winner, the original bet is returned intact. 274 Appendix C: Major Games of Chance and Slots

Baccarat

Baccarat and its close cousins, Punto Banco, Chemin de Fer, and Baccarat-en- Banque, are popular high-stakes games in casinos all over the world. All current versions are derived from the Italian baccara, first introduced into France circa 1490 and later adopted as a favorite game of the nobility. But it was not until the late 1950s that modern baccarat was taken seriously by Las Vegas casinos. The earlier Chemin de Fer is played the same way as baccarat, except that in Chemin, the casino takes no risk because players bet against each other—the house merely acts as a “cutter” for a standard 5 % charge taken from the player-banker’s winning bet (coup). In American baccarat, eight standard 52-card decks are shuffled and placed in a “shoe.” There may be as many as 12 people seated at the table, and each makes a bet by placing chips for the Player, for the Banker, or for a tie hand. Winning bets (subject to commissions, as discussed later) are paid even money, and ties usually are paid at 8 to 1. A bettor and the dealer are each dealt two cards, with picture cards and 10 counting as zero and number cards counting as their actual face values. Should the two-card sum be in double digits (i.e., 10 or more), then the right-hand digit is considered the card count. A two-card sum of 14 would thus be counted as 4. Normally, the gamer’s goal is for the side he or she is betting on—either Player or Banker—to have a two-card count of 9. However, if either side has less than 8 or 9 (a natural), there are standardized rules that specify when additional cards may be drawn. A count of zero is baccarat. Through complicated arithmetic it has been determined, according to Scarne (1978, p. 266), that the chance of the Player’s side winning is about 49.33 %, and for the Banker’s side, 50.67 %. The Player’s disadvantage, or cost to participate, is thus about 1.34 %. However, to even out the sides (and save time on making change), the casino retains a 5 % “commission” out of the Banker’s winnings (it actually recaptures 5 % of excess payoff). (Because the Banker’s side, on average, wins 50.67 % of the hands dealt, the actual charge is 2.53 % [0.5067 times 5 %].) In so reducing the aforementioned Banker’s advantage of 1.34 % by 2.53 %, the Banker’s cost of play after commission then nets to about 1.19 % (1.34 À 2.53). Thus, the casino’s edge is somewhere between 1.19 and 1.34 %.5 But on bets that Banker and Player have tie hands, casinos usually pay 8 to 1 and have an edge of 14.36 %. Although bets on ties may typically account for only 3 % of the total money wagered, they represent perhaps 10 % of the total won by the house. Because most of the play, at a rate of about 70 hands an hour, is concentrated on Player or Banker—where the margins are thin—the casino win results for baccarat are generally far more volatile than for any of the other games.

5 Silberstang (1980, p. 388) has slightly different figures of À1.36 % for Player and À1.17 % for Banker. Also see Thorp (1984) and Manteris and Talley (1991) on casino sports book operations. Appendix C: Major Games of Chance and Slots 275

Slots

Slot machines have steadily evolved since they were first introduced in San Francisco in 1887 and in most casinos they now draw more than 40 % of revenues and an even larger share of profits. Although the performance of slots has been greatly enhanced by the develop- ment of sophisticated computing capability, the basic concept of slot play remains the same as always: to line up certain randomly generated symbols on a window or video screen. In return for so doing, players are rewarded with various levels of monetary prizes determined proportionally by the probability of occurrence. For example, in a mechanical three-reel model with 20 different symbols per reel, and with each reel spinning independently, the probability of three of the same figure lining up is 1/20 Â 1/20 Â 1/20, or 0.000125, which is 1 in 8000. Of course, as in other games, the casino will profit by setting the actual payout to be less than 7999 to 1. However, in modern machines, “virtual” reels, wherein each reel may represent 256 different numbers, can be created with a much wider range of payouts and probabilities. In New Jersey, by law, slot machines cannot pay out less than 83 % of the drop, but there is no such rule in Nevada. Slot machines today come in many different versions, including “progressives” (which are linked to the coin-drop in other machines), color-action (nonreel) videos, and multiline-payoff models. But whatever the type, the chief advantages to casinos are the low operating costs and relatively high hold percentages of slots as compared with table games: A modern machine bought at a cost of $10,000 can readily generate $200 or more per day and up to $100,000 a year. Indeed, because of the low operating costs, casinos have also emphasized coin-operated machine adaptations of blackjack and poker.6 Greenlees (2008, pp. 122–200) provides details on modern slot-machine operations and accounting. Schull (2012) and Stross (2013) write of how machine payoffs are designed to foster psychological rewards.

6 For revenue participation games in which the units are placed on the casino floor at no cost to the operator, arrangements are for the operator to pay the equipment manufacturer a fixed daily fee, a share of revenues, or a combination of both. In revenue-sharing, the win per unit per day is usually split between the operator and the machine manufacturer on an 80/20 basis, whereas the daily fee is approximately $75 per day. Details of revenue-sharing arrangements, in effect, leasing of machines, are provided in Rivlin (2003). Glossary7

Aggregate The familiar type of summary series shown in most statistical reports. Generally, it is a total, such as the gross national product or retail sales, but sometimes it is an average, such as the index of industrial production or the index of wholesale prices. Air/Sea Mix Indicates the proportion of passengers who book through the cruise line as part of a package instead of separately. A change in the mix affects margins, but not operating income as airfares collected by cruise lines are booked as an expense to the . A higher air/sea mix leads to lower operating margins. Amortization of Debt A gradual reduction of a debt through periodic payments covering the interest and part of the principal. Generally, amortization is used when the credit period is longer than a year. Common examples of amortization of debt are mortgage payments on homes, which extend over a period of 20 years or more. Asset A physical property or intangible right, owned by a business or an individ- ual, that has a value. An asset is useful to its owner either because it is a source of future services or because it can be used to secure future benefits. Business assets are usually divided into two categories: current and fixed. Asset Values The implied price buyers might be willing to pay to obtain control of an assets profit- and/or cash-generating potential. Asset values fluctuate according to changes in general economic conditions, interest rates, and expected returns. Block Time In the airline industry, the time on a segment from when the aircrafts engines are switched on at departure to the time they are switched off on arrival. This, of course, includes tarmac taxi time.

7 This abbreviated glossary has been mainly compiled, with permission, from The McGraw-Hill Dictionary of Economics, McGraw-Hill, New York, 1974. The Dictionary of Economic and Statistical Terms, U.S. Department of Commerce, was supplementary.

© Springer International Publishing Switzerland 2016 277 H.L. Vogel, Travel Industry Economics, DOI 10.1007/978-3-319-27475-1 278 Glossary

Bond A written promise to pay a specified sum of money (principal) at a certain date in the future or periodically over the course of a loan, during which time interest is paid at a fixed rate on specified dates. Bonds are issued by corpora- tions, states, localities (municipal bonds), foreign governments, and the U.S. government, usually for long terms (more than 10 years), although any security issued by the U.S. government for more than 5 years is defined as a bond. Book Value The value of a corporation according to its accounting records. It is computed by subtracting all debts from assets; the remainder represents total book value. Total book value is also referred to as net assets. If a corporation has assets of $300,000 and debts of $100,000, its total book value is $200,000. In reports of corporations, the book value is usually represented on a per share basis. This is done by dividing the total book value by the number of shares. In the example given above, if the corporation had 10,000 shares outstanding, its book value would be $20 per share. The book value differs from the par value of the shares and also from the market value. Breakeven Point The specific volume of sales at which a firm neither makes nor loses money. Above this point, a firm begins to show a profit; below it, it suffers a loss. Breakeven-point analysis is used to compute the approximate profit or loss that will be experienced at various levels of production. In carrying out this analysis, each expense item is classified as either fixed (constant at any reason- able level of output) or variable (increasing as output increases and decreasing as output declines). Business Cycle Alternate expansion and contraction in overall business activity evidenced by fluctuations in measures of aggregate economic activity such as the gross national product, the index of industrial production, and employment and income. A business cycle may be divided into four phases: expansion, during which business activity is successively reaching new high points; leveling out, during which business activity reaches a high point and remains at that level for a short period of time; contraction, during which business volume recedes from the peak level for a sustained period until the bottom is reached; and recovery, during which business activity resumes after the low point has been reached and continues to rise to the previous high mark. Capitalized Value The terms applied to a technique used to determine the present value of an asset that promises to produce income in the future. To calculate the present value, the total future income expected must be discounted, that is, offset against the cost (as measured by the current interest rate) of carrying the asset until the income has actually been realized. If the asset promises a stream of income, its capitalized value is calculated by adding together the present discounted value of the income in each year. The general formula for this calculation is I/(1 þ r)t where I is the annual income, r is the current rate of interest, and t is the number of years involved. In this manner, an investor confronted with a choice of properties can determine which alternative is the Glossary 279

most remunerative, though the formula tells nothing about the relative risks involved. Cash Flow The sum of profits and depreciation allowances. (Instead of profits, many economists use retained earnings, which are profits after taxes and after deductions for dividend payments.) Gross cash flow is composed of total profits plus depreciation; net cash flow is composed of retained earnings plus depreci- ation. Thus, cash flow represents the total funds that corporations generate internally for investment in modernization and expansion of plants and equip- ment and for working capital. The growth of depreciation allowances over the years has made them a much more important part of cash flow than retained earnings. To facilitate comparisons of property values, however, travel busi- nesses often take cash flow to be profits prior to deductions of interest, depreci- ation and amortization, and taxes. Code-Sharing A common airline industry marketing practice in which, by mutual agreement between cooperating carriers, at least one of the airline designator codes used on a flight is different from that of the airline operating the flight. Common Stock The capital stock of a corporation that gives the holder an unlimited interest in the corporations earnings and assets after prior claims have been met. Common stock represents the holders equity or ownership in the corporation. Holders of common stock have certain fundamental legal rights, including the following: preemptive rights; the right, in most cases, to vote for the board of directors, who actually manage the company; the right to transfer any or all shares of stock owned; and the right to receive dividends when they are declared by the board of directors. Competition The condition prevailing in a market in which rival sellers try to increase their profits at one anothers expense. In economic theory, the varieties of competition range from perfect competition, in which numerous firms pro- duce or sell identical goods or services to oligopoly in which a few large sellers with substantial influence in the market vie with one another for the available business. Early economists envisioned perfect competition as the most effective assurance that consumers would be provided with goods and services at the lowest possible prices. Complementary Goods Goods that must be accompanied by another good to be useful (e.g., perfect complements would be a left shoe and a right shoe). Contrariwise, close substitutes would be margarine and butter. Convertible Debenture A certificate issued by a corporation as evidence of debt that can be converted at the option of the holder into other securities (usually common stock, but sometimes preferred stock) of the same corporation. Each debenture can be converted into a specified number of shares of stock at a stipulated price for a certain period. There are two advantages to convertible debentures for the issuing corporation: (a) The conversion privilege makes the debentures more attractive to investors and tends to reduce interest costs. (b) The debentures facilitate the extinction of debt because debt declines and equity (stock) increases as holders convert their debentures. The major disadvantage is 280 Glossary

discrimination against the companys stockholders, whose equity is diluted as the holders of debentures convert them. At all times during the conversion period, there is a price relationship between the debenture and the stock. It is based on the conversion price, the number of shares into which each debenture can be converted, and the value that the market puts on the conversion privilege. For example, a $1000 debenture that can be converted into 50 shares of common stock at $20 per share will normally trade in the market at a price higher than $1000 because of the conversion privilege. Correlation The statistical technique that relates a dependent economic variable to one or more independent variables over a period of time to determine the closeness of the relationship between the variables. This technique can be used for business forecasting. When more than one independent variable is used, the relationship is called a multiple correlation. Cost Recovery Accounting method of amortization in which all costs are charged against earned revenue and no profit is recognized until cumulative revenue equals cumulative costs. This method is not acceptable for financial-statement reporting under generally accepted accounting principles. Current Assets Cash or other items that will normally be turned into cash within 1 year and assets that will be used up in the operation of a firm within 1 year. Current assets include cash on hand and in the bank, accounts receivable, materials, supplies, inventories, marketable securities, and prepaid expenses. Current Liabilities Amounts owed that will ordinarily be paid by a firm within 1 year. The most common types of current liabilities are accounts payable, wages payable, taxes payable, and interest and dividends payable. Debenture A bond that is not protected by a specific lien or mortgage on property. Debentures (debts), which are issued by corporations, are promises to pay a specific amount of money (principal) at a specified date or periodically over the course of the loan, during which time interest is paid at a fixed rate on specified dates. Demand The desire, ability, and willingness of an individual to purchase a good or service. Desire by itself is not equivalent to demand: The consumer must also have the funds or the ability to obtain funds to convert the desire into demand. The demand of a buyer for a certain good is a schedule of the quantities of that good that the individual would buy at possible alternative prices at a given moment in time. The demand schedule, or the listing of quantities that would be bought at different prices, can be shown graphically by means of the demand curve. The term demand refers to the entire schedule of possibilities, not only to one point on the schedule. It is an instantaneous concept expressing the rela- tionship of price and the quantity that is desired to be bought, all other factors being constant. Depreciation A reduction in the value of fixed assets. The most important causes of depreciation are wear and tear (loss of value caused by the use of an asset); the effects of the elements (i.e., decay or corrosion); and gradual obsolescence, which makes it unprofitable to continue using some assets until they have been Glossary 281

fully exhausted. The annual amount of depreciation of an asset depends on its original purchase price, its estimated useful life, and its estimated salvage value. A number of different methods of figuring the amount of depreciation have been developed. Using the simple straight-line method, which considers depreciation a function of time, the annual depreciation cost is calculated by dividing the cost of the asset (original minus salvage cost) equally over its entire life. Discounted Cash Flow (DCF) Method A method of measuring the return on capital invested. The value of a project is expressed as an interest rate at which the projects total future earnings, discounted from the time that they accrue to the present, equal the original investment. It is more precise than most of the other methods used to measure return on capital invested because it recognizes the effect of the time value of money. It can be used to determine whether a given project is acceptable or unacceptable by comparing each projects rate of return with the companys standard. Discount Rate Interest rate charged member banks by the Federal Reserve for the opportunity to borrow added reserves. Also used in DCF methods. Discretionary Spending A measure, developed by the National Industrial Con- ference Board, that reflects the extent of consumer spending as the result of a decision relatively free of prior commitment, pressure of necessity, or force of habit. It includes all personal expenditures not accounted for specifically or in equivalent form in imputed income, fixed commitments, or essential outlays. The series measures the growth and ability of American consumers to exercise some degree of discretion over the direction and manner of their spending and saving. Drop A term used in the gaming industry to indicate the total monetary-equivalent value of cash, IOUs (“markers”), and other items that are physically deposited or dropped into a cash box of a gaming table or slot machine. EBITDA Earnings before deduction of interest, taxes, and depreciation and amor- tization. Often used as a convenient representation of the cash flow of media and travel-related businesses. In recent years, however, EBITDA has lost analytical favor because it doesnt include the cash flow required to service debts (interest payments) and to purchase or construct new projects, services, or equipment. In times of rapid technological or business change, such purchases will normally require cash outlays that exceed depreciation and amortization. Econometrics The branch of economics that expresses economic theories in mathematical terms in order to verify them by statistical methods. It is concerned with empirical measurements of economic relations that are expressible in mathematical form. Econometrics seeks to measure the impact of one economic variable on another to enable the prediction of future events or to provide advice on economic-policy choices to produce desired results. Economic theory can supply qualitative information concerning an economic problem but it is the task of econometrics to provide the quantitative content for these qualitative statements. 282 Glossary

Economic Growth An increase in a nations or an areas capacity to produce goods and services coupled with an increase in production of these goods and services. Usually, economic growth is measured by the annual rate of increase in a nations gross national product (GNP) as adjusted for price changes. Economic Model A mathematical statement of economic theory. Use of an economic model is a method of analysis that presents an oversimplified picture of the real world. Ecotourism Though there is no wide agreement on a strict definition, the term often suggests tourism that does not disturb the ecological balance of a regions resources of land, labor, transportation, and other assets. Also known as “green tourism.” Elastic Demand The percentage change induced in one factor of demand divided by a given percentage change in the factor that caused the change. For example, if the price of a commodity is raised, purchasers tend to reduce their buying rate. The relationship between price and purchasing rate, which is known as the elasticity of demand, expresses the percentage change in the buying rate divided by the percentage change in price. Elasticity The relative response of one variable to a small percentage change in another variable. Equilibrium The state of an economic system in which all forces for change are balanced so that the net tendency to change is zero. An economic system is considered to be in equilibrium when all the significant variables show no change over a period of time. Equity Amount of capital invested in an enterprise. It represents a participative share of ownership, and in an accounting sense it is calculated by subtracting the liabilities (obligations) of an enterprise from its assets. Excess Reserves The surplus of cash and deposits owned by commercial member banks of the Federal Reserve System over what they are legally required to hold at Reserve Banks or in their own vaults. The excess-reserve position of a bank is an indication of its ability to invest in government bonds or to make loans to customers. Therefore, if the Federal Reserve System is trying to stimulate business in periods of economic sluggishness, it buys government bonds from private sellers, thus increasing bank reserves, and vice versa. Externality The result of choices by individuals and firms that affects other individuals and firms without operating through market prices. Externalities may be positive and beneficial to society or negative and harmful, as an air-polluting manufacturing process would be. FIT Denotes the free or foreign independent traveler market segment. See also IT. Foreign Exchange All monetary instruments that give residents of one country a financial claim on another country. The use of foreign exchange is a countrys principal means of settling its transactions with other countries. Franchise A brand for goods and services that provides a distinct identity and that can be globally extended through franchise agreements that provide local owners with quantity purchase discounts, advertising and real estate support, Glossary 283

etc. Airlines have distinct franchises in the routes that they fly (e.g., those of British Air, American, United, etc.). Hotel chains, car rental companies, travel agencies, and restaurant chains use franchise agreements to extend the brand (e.g., McDonalds, Hilton, Marriott, Avis, Carlson, etc.). Free Reserves The margin by which excess reserves exceed borrowings at Federal Reserve Banks. They are a better indicator of the banking systems ability to expand loans and investments than excess reserves. Manipulation of the net free- reserve position of member banks is an indication of the monetary policy that the Federal Reserve wishes to pursue. Gross Domestic Product (GDP) The measure of the value of all goods and services produced in a country no matter whether that output belongs to natives or foreigners. It is different from gross national product (GNP), which measures output belonging to U.S. citizens and corporations wherever that output is created. In the United States, the differences between the values of the two series have been slight. See Gross national product. Gross National Product (GNP) The most comprehensive measure of a nations total output of goods and services. In the United States, the GNP represents the dollar value at current prices of all goods and services produced for sale plus the estimated value of certain imputed outputs, that is, goods and services that are neither bought nor sold. The rental value of owner-occupied dwellings and the value of farm products consumed on the farm are the most important imputed outputs included; the services of housewives are among the most important nonmarket values included. The GNP includes only final goods and services; for example, a pair of shoes that costs the manufacturer $2.50, the retailer $4.50, and the consumer $6.00 adds to the GNP only $6.00, the amount of the final sale, not $13.00, the sum of all the transactions. The GNP can be calculated by adding either all expenditures on currently produced goods and services or all incomes earned in producing these goods and services. Gross Win The casino equivalent of revenues or sales in other businesses. It is from the gross win that operating expenses must be deducted. Handle A term used in the gaming industry to indicate the total dollar amount bet on the outcome of an event. Hold A term used in the gaming industry to indicate how much of the drop is retained (won) by the game operator through the course of play. Hold can be expressed as a percentage of the drop in which case it is known as the hold percentage, often in a shorthand way called “win.” Income Effect A term used in demand analysis to indicate the increase or decrease in the amount of a good that is purchased because of a price-induced change in the purchasing power of a fixed income. When the price of a commodity declines, the income effect enables a person to buy more of this or other commodities with a given income. The opposite occurs when the price rises. By using indifference curves, it is possible to separate the income effect from the so-called substitution effect in which the demand for a price-reduced good rises as it is substituted for other goods whose prices have remained constant. 284 Glossary

Indifference Curve A graphic curve that represents the various combinations of two goods that will yield the consumer the same total satisfaction. For example, a household may receive the same satisfaction from consuming four pounds of steak or one pound of chicken. By assuming that the two commodities can be substituted for each other, it is possible to draw an indifference schedule that contains all of the possible combinations of the commodities that will yield the same satisfaction. When the schedule is plotted on a graph, with one commodity along the vertical axis and another along the horizontal axis, the curve that connects the points is called an indifference curve. Inelastic Demand (Inelasticity) A term used to describe a proportionally smaller change in the purchase rate of a good than the proportional change in price that caused the change in amount bought. When the demand for a product is inelastic, a relatively large price change is necessary to cause a relatively small increase in purchase. To calculate the elasticity of demand, the percentage change in buying rate (the quantity bought per period of time) is divided by the percentage change in price. Inflation A persistent upward movement in the general price level. It results in a decline in purchasing power. Interest The price paid for the use of money over a period of time. Individuals, businesses, and governments buy the use of money. Businesses pay interest for the use of money to purchase capital goods because they can increase production and productivity through the introduction of new plants and new machines. Inventory Supply of various goods kept on hand by a firm to meet needs promptly as they arise and thus assure uninterrupted operation of the business. In manufacturing, for example, inventory includes not only finished products awaiting shipment to selling outlets but also raw materials and countless other items required for the production and distribution of the product. IT Denotes the inclusive tour (i.e., packaged travel segment). Sometimes also known as GIT for group inclusive tour and contrasts to FIT (see above). Labor Force According to the concept of the U.S. Department of Labor and the U.S. Bureau of the Census, the noninstitutionalized population, 16 years of age or older, who either are employed or are looking for work. Lead-Lag Relationship The timing of changes in one statistical series in relation to changes in another series. The term is frequently used in sales forecasting, which makes use of the timing pattern between a companys sales and a particular economic indicator. Liabilities The debts or amounts of money owed by an individual, partnership, or corporation to others. Considered from another point of view, liabilities are the claims or rights, expressed in monetary terms, of an individuals or a corporations creditors. In accounting, liabilities are classified as either short-term or long- term liabilities or as secured or unsecured liabilities. Short-term liabilities are those that will be satisfied, or paid, within 1 year. Load Factor Term used by airlines, for a single sector flight, to indicate the passengers carried as a percentage of the seats available for sale. On a network Glossary 285

of routes, the load factor is obtained by taking total passenger-miles as a percentage of total seat-miles available. Macroeconomics Modern economic analysis concerned with data in aggregate as opposed to individual form. It concerns itself with an overall view of economic life considering the total size, shape, and functioning of economic experience rather than the workings of individual parts. More specifically, macroeconomics involves the analysis of the general price level rather than the prices of individ- ual commodities, national output or income rather than the income of the individual firm, and total employment rather than employment in an individual firm. Marginal Cost The additional cost that a producer incurs by making one addi- tional unit of output. If, for example, total costs were $13,000 when a firm was producing two machine tools per day and $18,000 when it was producing three machine tools per day, the marginal cost of producing one machine tool was $5000. The marginal cost may be the same or higher or lower in moving from three to four machine tools. The concept of marginal cost plays a key role in determining the quantity of goods that a firm chooses to produce. The purely competitive firm, which faces a given price set in the market, increases its output until marginal cost equals price. That point is the firms best-profit output point. The imperfectly competitive firm equates marginal cost to marginal revenue (additional revenue) to obtain the highest profits. For most firms, marginal costs decline for a while and then begin to rise. The pattern of the marginal-cost graph depends on the nature of the firms production function and the prices of the goods that it buys. Marginal Propensities The marginal propensity indicates the proportion out of every dollar of additional income that consumers, on the average, are willing to save, invest, spend, and import. Marginal propensities are central to macroeco- nomic theories and models such as those of economist John Maynard Keynes in the 1930s. Marginal Revenue The additional revenue that a seller receives from putting one more unit of output on the market. Margins See Profit margin. Market Share The ratio of a companys sales, in units or dollars, to total industry sales, in units or dollars, on either an actual basis or a potential basis for a specific time period. Microeconomics Modern economic analysis concerned with data in individual form as opposed to aggregate form. It is concerned with the study of the individual firm rather than aggregates of firms, the individual consuming unit rather than the total population, and the individual commodity rather than total output. Microeconomics deals with the division of total output among industries, products, and firms and the allocation of resources among competing uses. It is concerned with the relative prices of particular goods and the problem of income distribution. Model The expression of a theory by means of mathematical symbols or diagrams. 286 Glossary

Modern Portfolio Theory A theory that enables investment managers to classify, estimate, and control the sources of investment risk and return. Monopoly A market structure with only one seller of a commodity. In pure monopoly, the single seller exercises absolute control over the market price because there is no competitive supply of goods on the market. The seller can choose the most profitable price and does so by raising the price and restricting the output below what would be achieved if there were competition. In a natural monopoly, the monopolists economies of scale are large. Monopsony A market structure with a single buyer of a commodity. Pure monop- sony, or buyers monopoly, is characterized by the ability of the single buyer to set the buying price. In the case of a monopsonist who maximizes profits, both the buying price and the quantity bought are lower than they would be in a competitive situation. National Income The total compensation of the elements used in production (land, labor, capital, and entrepreneurship) that comes from the current produc- tion of goods and services by the national economy. It is the income earned (but not necessarily received) by all persons in the country in a specified period. Nonborrowed Reserves A reserve aggregate consisting of total bank reserves (deposits of the Federal Reserve and vault cash) minus borrowings by member banks from the Federal Reserve. Oligopoly A type of market structure in which a small number of firms supply the major portion of an industrys output. The best-known example in the U.S. economy is the automobile industry in which three firms account for 65 % of the output of passenger cars. Although oligopolies are most likely to develop in industries whose production methods require large capital invest- ments, they also cover such diverse items as cigarettes, light bulbs, chewing gum, detergents, and razor blades. In economic theory, the term oligopoly means a mixture of competition and monopoly. The benefit or harm to the economy at large by oligopolies remains in dispute. Operating Income Earnings before interest, other income, and taxes. Opportunity Costs The value of the productive resources used in producing one good, such as an automobile, instead of another good, such as a machine tool. With relatively fixed supplies of labor and capital at any given time, the economy cannot produce all it wants of everything. Paretian Optimum A situation that exists when no one (say person A) in a society can move into a position that A prefers without causing someone else (person B) to move into a position that B prefers less. In other words, a situation is not a paretian or social optimum if it is possible, by changing the way in which commodities are produced or exchanged, to make one person better off without making another person (or persons) worse off. See Second-best theory. Partnership A type of business organization in which two or more persons agree on the amounts of their contribution (capital and effort) and on the distribution of profits, if any. Partnerships are common in retail trade, accounting, and law. Glossary 287

Passenger-Miles (Kilometers) The number of passengers on a flight multiplied by the stage distance as measured in miles or kilometers. Personal-Consumption Expenditures Expenditures that reflect the market value of goods and services purchased by individuals and nonprofit institutions or acquired by them as income in kind. The rental value of owner-occupied dwellings is included, but not the purchases of dwellings. Purchases are recorded at cost to consumers, including excise or sales taxes, and in full at the time of purchase whether made with cash or on credit. Personal Income According to the concept of the U.S. Department of Commerce, the amount of current income received by persons from all sources, including transfer payments from government and business, but excluding transfer pay- ments from other sources. Personal income also includes the net incomes of unincorporated businesses and nonprofit institutions and nonmonetary income such as the estimated value of food consumed on farms and the estimated rental value of homes occupied by their owners. PFC In airlines, refers to PFC is passenger facility charges (i.e., charges to passengers for use of facilities). PFC revenues are used to pay for runways, terminals, and other related assets. Price/Earnings Ratio The current market price per share of a companys stock expressed as a multiple of the companys per-share earnings. Production Function The various combinations of land, labor, materials, and equipment that are needed to produce a given quantity of output. The production function expresses the maximum possible output that can be produced with any specified quantities of the various necessary inputs. Every production function assumes a given level of technology; once technological innovations have been introduced, the production function changes. Productivity The goods and services produced per unit of labor or capital or both; for example, the output of automobiles per person-hour. The ratio of output to all labor and capital is a total productivity measure; the ratio of output to either labor or capital is a partial measure. Anything that raises output in relation to labor and capital leads to an increase in productivity. Profit Margin Net profit from operations divided by net sales and expressed as a percentage. This percentage measures the efficiency of a company or an indus- try. Nevertheless, profit margins vary widely among industries and among companies within a given industry. See Returns. Profits The amount left over after a business enterprise has paid all its bills. Prospectus Any communication, either written or broadcast by radio or television, that offers a security for sale. The prospectus contains the most important parts of the registration statement, which must give all information relevant to the issue. Public Good A good for which the costs of production are independent of the number of people who consume it. National defense is an example, for one persons consumption does not diminish the quantity available to others. TV programs are almost pure public goods because the program, no matter how it is 288 Glossary

recorded, remains unchanged regardless of how many people view it. In contrast, pure private goods, once consumed by an individual, are no longer available for someone else. For private goods, say a slice of bread, the costs of production are related to the number of people who consume it. Rack Rate The maximum published rate applicable to a hotels room-type segment. Regression Line A statistical term that indicates a relationship between two or more variables. The regression line was first used by Sir Francis Galton to indicate certain relationships in his theory of heredity, but it is now employed to describe many functional relationships. A regression, or least-squares, line is derived from a mathematical equation relating one economic variable to another. The use of regression lines is important in determining the effect of one variable on another. Required Reserves The percentages of their deposits that U.S. commercial banks are required to set aside as reserves at their regional Federal Reserve Bank or as cash in their vaults. Reserve requirements vary according to the category of the bank. Returns The earnings or profit compensations received for owning assets or equity positions. Also, returns on sales are equivalent to profit margins. Risk The exposure of an investor to the possibility of loss of money. Profit is the investors reward for assuming the risk of economic uncertainty, such as changes in consumer tastes or changes in technology. The financial risk is based on natural, human, and economic uncertainties. Second-Best Theory A theory that analyzes alternative suboptimal positions to determine the second best when some constraint prevents an economy from reaching a paretian optimum. See Paretian optimum. Secular Trend A statistical term denoting the regular, long-term movement of a series of economic data. The secular trend of most economic series is positive, or upward, indicating growth, the angle of the trend depending on how fast or how slow the growth rate is. Spoilage In airlines, the term refers to seats for which demand exists but which, for various reasons, nevertheless actually depart empty. There is no spoilage if at the date of departure the number of reservations equal capacity. Overbooking occurs if at the date of departure the number of reservations exceeds capacity. Supply The ability and willingness of a firm to sell a good or service. The firms supply of a good or service is a schedule of the quantities of that good or service that the firm would offer for sale at alternative prices at a given moment in time. The supply schedule, or the listing of quantities that would be sold at different prices, can be shown graphically by means of a supply curve. The term supply refers to the entire schedule of possibilities, not to one point on the schedule. It is an instantaneous concept expressing the relationship of price and the quantity that would be willingly sold, all other factors being constant. Tax Credit A legal provision permitting U.S. taxpayers to deduct specified sums from their tax liabilities. Glossary 289

Tax Deduction A legal provision permitting U.S. taxpayers to deduct specified expenditures from their taxable income. Time Series A set of ordered observations of a particular economic variable, such as prices, production, investment, and consumption, taken at different points in time. Most economic series consist of monthly, quarterly, or annual observa- tions. Monthly and quarterly economic series are used in short-term business forecasting. Underwriter Any person, group, or firm that assumes a risk in return for a fee; usually called a premium or commission. Unemployment Rate The number of jobless persons expressed as a percentage of the total labor force. The United States counts as unemployed anyone 16 years of age or over who is out of work and would like a job (even if that person is doing little about finding one). Upgauging In airlines, an increase in capacity by adding seats o existing and replacing smaller planes with larger ones. Utility The ability of a good or a service to satisfy human wants. It is the property possessed by a particular good or service that affords an individual pleasure or prevents pain during the time of its consumption or the period of anticipation of its consumption. The degree of utility of a good varies constantly. Thus, utility is not proportional to the quantity or type of the good or service consumed. Warrant An option that gives the holder the privilege of purchasing a certain amount of stock at a specified price for a stipulated period. Wet Lease Refers to aircraft leasing that requires the lessor to provide the lessee with aircraft, crew, and sometimes also maintenance and insurance. Altogether, known as ACMI. Win See Gross win. Working Capital, Net The excess of current assets over current liabilities. These excess current assets are available to carry on business operations. As demand increases in prosperous times, a large volume of working capital is needed to expand production. Workweek The number of weekly hours per factory worker for which pay has been received, including paid holidays, vacations, and sick leaves. In the United States, workweek figures cover full-time and part-time production and related workers who receive payment for any part of the pay period ending nearest the 15th of the month. Because of increasing amounts of paid holidays, vacations, and sick leave, the paid workweek exceeds the number of hours actually worked per week. The average-workweek series compiled from payroll data by the U.S. Bureau of Labor Statistics differs from the series of weekly hours actually worked that is compiled from household surveys by the U.S. Bureau of the Census. It also differs from the standard or scheduled workweek because of such factors as absenteeism, part-time work, and stoppages. Yield 1. The percentage that is derived from dividing the annual return from any investment by the amount of the investment, for example, a stocks annual per share dividend payment rate divided by its per share price. 2. In airlines, the 290 Glossary

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Further Reading for Chapter 2

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Further Reading for Chapter 3

Anderson, M. L. (2014). Subways, strikes, and slowdowns: The impacts of public transit on traffic congestion. American Economic Review, 104(9), 2763–2796. Brannigan, M. (2001, August 23). Cruise lines go online—To tout travel agencies. Wall Street Journal. Brannigan, M. (1999, December 6). Cruise lines look to the land to get boomers on board. Wall Street Journal. Brannigan, M., & Perez, E. (2002, January 31). In takeover battle, rival captains clash to woo a princess. Wall Street Journal. Cowell, A. (2001, November 21). P & O and Royal Caribbean to merge into largest cruise line. New York Times. De Lisser, E. (1995, November 24). Forecast for cruise industry is stormy, and some of the smaller fleets may sink. Wall Street Journal. DePalma, A. (2001, September 25). Newly popular in disaster’s wake, Amtrak seeks U.S. aid. New York Times. Erlanger, S. (2012, January 17). Oversight at cruise lines at issue after disaster. New York Times. Finch, C. (1992). Highways to heaven: The auto biography of America. New York: HarperCollins. Frantz, D. (1999a, December 24). For cruise ships’ workers, much toil, little protection. New York Times. Frantz, D. (1999b, November 29). Alaskans choose sides in battle over cruise ships. New York Times. Grady, D. (2002, December 6). Virus rattles cruise industry and health officials. New York Times. Kay, J. H. (1997). Asphalt Nation: How the automobile took over America and how we can take it back. New York: Crown. References 325

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Further Reading for Chapter 4

Audi, T. (2008, March 25). Ailing Sheraton shoots for a room upgrade. Wall Street Journal. Berzon, A. (2010a, September 14). Ritz Hotels bow to slump, adding a loyalty program. Wall Street Journal. Berzon, A. (2010b, January 25). Small hotels sign on with Marriott. Wall Street Journal. Binkley, C. (1999, January 13). Marriott faces outcry from 1980s buyers of hotel partnership. Wall Street Journal. Binkley, C. (2001, September 28). U.S. Hotels struggle to cope with drop in guests since attack. Wall Street Journal. Binkley, C. (2002a, April 8). Putting on the Ritz means less as it happens more frequently. Wall Street Journal. Binkley, C. (2002b, February 13). Marriott’s growth hasn’t been without risk. Wall Street Journal. Brotherton, B. (1999). The handbook of contemporary hospitality management research. Chich- ester: Wiley. Browning, L. (2002, November 24). Marriott strategy brings savings and lawsuits. New York Times. Chittum, R. (2006, December 27). Big city, smaller rooms: Suburban hotel chains go urban. Wall Street Journal. Chittum, R. (2007, July 25). Living life like Eloise: More hotels add condos. Wall Street Journal. Chow, J. (2012, October 18). Hoteliers brave room glut in China. Wall Street Journal. 326 References

Cohan, W. D. (2014, September 11). Blackstone’s $26 billion Hilton deal: The best leveraged buyout ever. Bloomberg Businessweek. Dittmer, P. R., & Griffin, G. C. (1999). Principles of food, beverage, and labor cost for hotels and restaurants (6th ed.). New York: Wiley. Doherty, J. (2000, March 20). Look out, priceline. Barron’s. Evans, R. (2001, April 30). Le Motel 6, C’est Moi. Barron’s. Garrigan, R. T., & Parsons, J. F. C. (Eds.). (1997). Real estate investment trusts: Structure, analysis, and strategy. New York: McGraw-Hill. Glater, J. D. (2009, May 25). Luxe hotels in a battle for control. New York Times. Hudson, K. (2009, August 15). Hotels deliver some ‘jingle mail’. Wall Street Journal. Hudson, K. (2012a, December 26). Subsidized hotels: Boon or boondoggle? Wall Street Journal. Hudson, K. (2012b, February 28). Check in to work out. Wall Street Journal. Ives, M. (2013, June 12). China is fertile ground for crop of luxury hotels. New York Times. Karmin, C. (2014, February 12). Hotel deal offers peek into a boom. Wall Street Journal. Keohane, J. (2008, December). Heartbreak hotels. Conde´ Nast Portfolio. Levere, J. L. (2011, April 5). The rush to boutique. New York Times. McCartney, S. (2011, June 30). Hotels’ discount rates can cost you plenty. Wall Street Journal. McDowell, E. (1995, November 23). His goal: No room at the inns. New York Times. McDowell, E. (2000, January 29). A few weeks to call your own. New York Times. McGroarty, P., & Berzon, A. (2012, September 19). Hoteliers fill a gap: Africa. Wall Street Journal. McTague, J. (1999, September 27). Plenty of room for growth. Barron’s. Medlik, S., & Ingram, H. (2000). The business of hotels (4th ed.). Oxford: Butterworth- Heinemann. Morrissey, J. (2010, December 5). After a rough night, hotel investors are waking up. New York Times. O’Fallon, M. J., & Rutherford, D. G. (2011). Hotel management and operations (5th ed.). Hoboken, NJ: Wiley. Orwall, B., Rundle, R. L., & Rose, F. (1997, January 29). Hilton and ITT took different paths to this confrontation. Wall Street Journal. Petersen, A. (2011a, November 30). When home is where the hotel is. Wall Street Journal. Petersen, A. (2011b, September 22). When 12,000 guests spend the night. Wall Street Journal. Popper, N. (2010, June 6). Hotel wars: Drama and intrigue behind the hospitality trade. Los Angeles Times. Pristin, T. (2005, October 19). Fewer rooms at the inn. New York Times. Raza, I. (2004). Heads in beds: Hospitality and tourism marketing. New York: Prentice Hall. Rivlin, G. (2007, April 24). In Las Vegas, too many hotels are never enough. New York Times. Rutherford, D. G. (Ed.). (1995). Hotel management and operations (2nd ed.). New York: Wiley. Sharkey, J. (2013, June 11). A cherished amenity is likely to stay at high-end hotels. New York Times. Stellin, S. (2010, June 15). From hotel rivals to allies: Chains and independents hope to gain by teaming up. New York Times. Sturman, M. C., Corgel, J. B., & Verma, R. (2011). The Cornell School of Hotel Administration on Hospitality: Cutting edge thinking and practice. Hoboken, NJ: Wiley. Weed, J. (2013, December 24). By-the-hour microstays add to big hotels’ bottom line. New York Times. White, M. C. (2014, January 21). Hotels race to attract superrich clientele. New York Times. Wood, R. C. (Ed.). (2013). Key concepts in hospitality management. London: SAGE. References 327

Further Reading for Chapter 5

Alchian, A. A. (1953). The meaning of utility measurement. American Economic Review, 43(1), 26–50. Alchian, A. A. (2004, September 30). All bets are on. The Economist. Audi, T. (2009, July 20). As boom times sour in Vegas, upward mobility goes bust. Wall Street Journal. Audi, T., & Thompson, A. (2007, October 3). Oddsmakers in Vegas play new sports role. Wall Street Journal. Barron, J. (1989, May 31). Has the growth of legal gambling made society the loser in the long run? New York Times. Barron, J. (1989, May 28). States sell chances for gold as a rush turns to a stampede. New York Times. Bary, A. (2003, July 21). Rolling the dice: Will Borgata rejuvenate Atlantic City? Barron’s. Bass, T. A. (1985). The Eudaemonic Pie. Boston: Houghton Mifflin. Berenson, A. (2003, May 18). The states bet more on betting. New York Times. Berzon, A. (2010, April 4). How odds of success got longer for Morgan Stanley’s Casino Plan. Wall Street Journal. Berzon, A., & Rothfeld, M. (2013, October 29). Cantor’s bet on gambling proves risky. Wall Street Journal. Binkley, C. (2000a, March 7). MGM’s mirage deal may close a chapter in gambling business. Wall Street Journal. Binkley, C. (2000b, February 2). ‘The finest casino that could be built,’ that was the goal. Wall Street Journal. Binkley, C. (2001a, September 7). Las Vegas casinos take a big gamble on highest rollers. Wall Street Journal. Binkley, C. (2001b, March 6). In drive to unionize, Casino dealers defy a Las Vegas tradition. Wall Street Journal. Binkley, C. (2003, January 22). As casinos face a slowdown, Steve Wynn plots a comeback. Wall Street Journal. Binkley, C. (2008). Winner takes all: Steve Wynn, Kirk Kerkorian, Gary Loveman, and the race to own Las Vegas. New York: Hyperion. Blum, H., & Gerth, J. (1978, February 5). The mob gambles on Atlantic City. New York Times. Bokunewicz, J., Kniesel, D., & McNichols, M. (2011). Casino gaming technology. New York: Prentice Hall. Bradsher, K. (2007, August 28). Bigger than Las Vegas? That’s Macao’s bet. New York Times. Brenner, R., & Brenner, G. A. (1990). Gambling and speculation: A theory, a history, and a future of human decisions. New York: Cambridge University Press. Brisman, A. (1999). American Mensa guide to casino gambling. New York: Sterling. Bronson, R. D. (2012). The war at the shore: Donald Trump, Steve Wynn, and the epic battle to save Atlantic City. New York: Overlook Press. Bulkeley, W. M. (1995, August 16). Electronics is bringing gambling into homes, restaurants and planes. Wall Street Journal. Bulkeley, W. M. (2006, March 30). To boost revenues, state lotteries wager on slots. Wall Street Journal. Calvert, S., & Kamp, J. (2014, June 20). Casino glut pinches states. Wall Street Journal. Camerer, C. (1989). Does the basketball market believe in the hot hand? American Economic Review, 79(5), 1257–1261, and comment by Brown, W. O., and Sauer, R. D. (1993). American Economic Review, 83(December). Charlier, M. (1992, September 23). Casino gambling saves three colorado towns but the price is high. Wall Street Journal. Clark, K. (2005, May 23). Against the odds. U.S. News & World Report. Clark, T. L. (1987). The dictionary of gambling and gaming. Cold Spring, NY: Lexik House. Cohan, W. D. (2015). Losing Las Vegas. Fortune, 171(8), 186. 328 References

Collins, P. D. (2003). Gambling and the public interest. Westport, CT: Praeger. Condliffe, S. (2012). Pennsylvania casinos’ cannibalization of regional gambling revenues. UNLV Gaming Research & Review Journal, 16(1), 45–58. Cook, J. (1980, November 10). The most abused, misused pension fund in America. Forbes, 126 (10). Cook, J., & Carmichael, J. (1980, October 27). Casino gambling: Changing character or changing fronts. Forbes, 126(9). Cordtz, D. (1990, February 20). Betting the country. Financial World, 159(4). Craig, S. (2011, April 19). Deutsche Bank’s $4 billion bet. New York Times. Demaris, O. (1986). The boardwalk jungle. New York: Bantam. Dombrink, J., & Thompson, W. N. (1990). The last resort: Success and failure in campaigns for casinos. Reno: University of Nevada Press. Dunham, S., & Hashimoto, K. (2009). Casino financial controls. New York: Prentice Hall. Eadington, W. R. (1999). The economics of casino gambling. Journal of Economic Perspectives, 13(3), 173–192. Earley, P. (2000). Super casino: Inside the “new” Las Vegas. New York: Bantam. Eaton, L. (2008, December 26). State lotteries show big declines. Wall Street Journal. Eisler, K. I. (2001). Revenge of the Pequots: How a small native American tribe created the world’s most profitable casino. New York: Simon & Schuster. Elkind, P. (1996, November 11). The number crunchers. Fortune, 134(9). Elkind, P. (1997, December 8). The big easys bad bet. Fortune, 136(11). Emshwiller, J. R. (1992, June 1). California card casinos are suspected as fronts for rising Asian Mafia. Wall Street Journal. Evans, R. L., & Hance, M. (1998). Legalized gambling: For and against. Chicago: Carus. Fischer, S. (2007). When the mob ran Las Vegas: Stories of money, mayhem and murder. New York: MJF Books/Fine Communications. Friess, S. (2003, January 5). A whopper joins Las Vegas’s convention lineup. New York Times. Friess, S. (2015, October 24). Indian tribes look beyond casinos for income. New York Times. Furnham, A., & Argyle, M. (1998). The psychology of money. New York: Routledge. Garrett, T. A., & Nichols, M. W. (2005). Do casinos export bankruptcy? Working Paper 2005-019A. Federal Reserve Bank of St. Louis. Gaylord, B. (2001, January 9). Australia balks at new online casinos. New York Times. Gough, N. (2012, March 14). Casino suit revived in Macau. New York Times. Green, J. (2005, October 2). Live on the strip: Broadway’s second city. New York Times. Hamer, T. P. (1982, January/February). The casino industry in Atlantic City: What has it done for the local economy? Business Review, Federal Reserve Bank of Philadelphia. Harris, R. J., Jr. (1984, July 31). Circus circus succeeds in pitching Las Vegas to people on budgets. Wall Street Journal. Hirshey, G. (1994, July 17). Gambling: America’s real national pastime. New York Times Magazine. Horwitz, T. (1997, December 2). In a bible belt state, video poker mutates into an unholy mess. Wall Street Journal. lley, B. (1998a, October 28). Regulators find easy path to gambling industry jobs. New York Times. lley, B. (1998b, July 21). Casino changes the fortune of a hard-luck Illinois City. New York Times. lley, B. (1998c, January 12). Casinos paying top dollar to coddle elite gamblers. New York Times. Johnston, D. (1992). Temples of chance: How America Inc. bought out Murder Inc. to win control of the casino business. New York: Doubleday. Kaysen, R. (2012, January 4). The casino the state saved. New York Times. Kilby, J., Fox, J., & Lucas, A. F. (1998). Casino operations management (2nd ed.). Hoboken, NJ: Wiley. Koh, Y. (2012, February 28). Japan is pressured to legalize gambling. Wall Street Journal. Krauss, C. (2008, May 6). Not recession-proof after all. New York Times. References 329

Lancaster, H. (1980, September 3). Casino ‘hosts’ pamper high-rolling bettors to keep them rolling. Wall Street Journal. Lehne, R. (1986). Casino policy. New Brunswick, NJ: Rutgers University Press. Light, S. A., & Rand, K. R. L. (2005). Indian gaming and tribal sovereignty: The casino compromise. Lawrence, KS: University Press of Kansas. Longstreet, S. (1977). Win or lose: A social history of gambling in America. Indianapolis, IN: Bobbs-Merrill. Messick, H., & Goldblatt, B. (1976). The only game in town: An illustrated history of gambling. New York: Crowell. Millman, J. (2002, May 7). Burgeoning Indian casinos get ahead in part by dodging labor regulations. Wall Street Journal. Morrison, M. (2001, August 21). Casino royale: The foxwoods story. Wall Street Journal. Myerson, A. R. (1996, June 2). A big casino wager that hasn’t paid off. New York Times. Newman, A. (2008, April 18). Raising the ante in Connecticut. New York Times. O’Brien, T. L. (1998). Bad bet: The inside story of the glamour, glitz, and danger of America’s Gambling Industry. New York: Times Books. O’Brien, T. L. ( 2006, April 16). Is poker losing its first flush? New York Times. O’Donnell, J. R., & Rutherford, J. (1991). Trumped! The inside story of the real Donald trump. New York: Simon & Schuster. O’Keefe, K. (2014, February 6). The cheapest, richest casino in Macau. Wall Street Journal. Orwall, B. (1995, December 7). Casinos aren’t for kids, many gambling firms in Las Vegas now say. Wall Street Journal. Orwall, B. (1996, July 22). The federal regulator of Indian gambling is also part advocate. Wall Street Journal. Orwall, B., Rundle, R.L., & Rose, F. (1997, January 29). Hilton and ITT took two different paths to this confrontation. Wall Street Journal. Paher, S. (Ed.). (1976). Nevada official bicentennial book. Las Vegas, NV: Nevada. Painton, P. (1989, September 25). Boardwalk of broken dreams. Time, 134(13). Passell, P. (1994a, August 8). Foxwoods, a casino success story. New York Times. Passell, P. (1994b, June 12). The false promise of development by casino. New York Times. Peterson, I. (1995, December 26). After 20 years, Atlantic City starts to reap casinos’ benefits. New York Times. Pileggi, N. (1995). Casino: Love and honor in Las Vegas. New York: Simon and Schuster. Pollock, M. (1987). Hostage to fortune: Atlantic City and casino gambling. Princeton, NJ: Center for Analysis of Public Issues. Pulley, B. (1998a, October 28). Regulators find easy path to gambling industry jobs. New York Times. Pulley, B. (1998b, July 21). Casino changes the fortune of a hard-luck Illinois City. New York Times. Pulley, B. (1998c, January 12). Casinos paying top dollar to coddle elite gamblers. New York Times. Reinhold, R. (1989, May 30). Las Vegas transformation: From Sin City to Family City. New York Times. Richtel, M. (2002, January 21). A credit crisis for web casinos. New York Times. Richtel, M. (2006, May 6). No more cheap shrimp cocktail. New York Times. Rivlin, G. (July 16). Casinos boom in Katrina’s wake as cash pours in. New York Times. Rivlin, G. (2007b, June 13). Las Vegas caters to Asia’s high rollers. New York Times. Rivlin, G. (2007c, April 24). In Las Vegas, too many hotels are never enough. New York Times. Rivlin, G. (2007d, March 19). Atlantic City aiming higher as casinos slip. New York Times. Roemer, W. F., Jr. (1990). War of the Godfathers: The Bloody Confrontation between the Chicago and New York Families for Control of Las Vegas. New York: Donald I. Fine. Roemer, W. F., Jr. (1994). The enforcer: The Chicago mob’s man over Las Vegas. New York: Ivy Books (Ballantine). 330 References

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Further Reading for Chapter 6

Bannon, L. (1996, October 2). Universal Studios’ plan to expand in Florida moves Disney to Battle. Wall Street Journal. Barnes, B. (2008, February 10). Will Disney keep us amused? New York Times. Barnes, B. (2011, October 17). From Britain, it’s Legoland. New York Times. Barnes, B. (2012, May 21). Clash of the theme parks. New York Times. Barnes, B. (2013a, June 9). Theme parks let in the V.I.P.’s. New York Times. Barnes, B. (2013b, January 7). The Digital Kingdom. New York Times. Barnes, B. (2014, April 2). A billion-dollar bracelet is the key to a Disney park. New York Times. References 331

Barnes, B. (2015a, August 17). Disney bulking up theme parks as universal rises. New York Times. Barnes, B. (2015b, August 2). Comcast invests by the billion in theme parks, Hogwarts and all. New York Times. Barnes, B. (2016, February 28). Disney introduces demand-based pricing at theme parks. New York Times. Barnes, B., & Skipp, C. (2010, June 19). Hoping tourists will flock to Hogwarts (and spend a few galleons). New York Times. Bauerlein, V. (2015, June 1). In business of ups and downs, coasters are on a roll. Wall Street Journal. Belson, K. (2003, February 27). A Japanese theme park company fails. New York Times. Berck, J. (1994, August 28) When Broadway meets the midway, it’s big business. New York Times. Bianchi, S. (2008, June 25). Dubai’s next big plans: Theme-park destination. Wall Street Journal. Binkley, C. (2001, March 16). In pursuit of hassle-free slopes. Wall Street Journal. Braithwaite, D. (1967). Fairground architecture: The world of amusement parks, carnivals, & fairs. New York: Praeger. Brooke, J. (2005, March 24). Japan’s Ski industry stumbles on age and economy. New York Times. Burkitt, L. (2014, December 8). In China, developer has new theme: Parks. Wall Street Journal. Clave´, S. A. (2007). The global theme park industry. Wallingford, England: CABI. Eisner, M. D. (1998). Work in progress. New York: Random House. Eliot, M. (1993). Walt Disney, Hollywood’s dark prince: A biography. New York: Carol/Birch Lane. Faison, S. (1999, August 3). Even if you build them.... New York Times. Finch, C. (1975). The art of Walt Disney: From Mickey Mouse to the Magic Kingdoms. New York: Harry N. Abrams. Flower, J. (1991). Prince of the Magic Kingdom: Michael Eisner and the re-making of Disney. New York: Wiley. Fowler, G. A., & Marr, M. (2005, June 16). Disney’s China play. Wall Street Journal. Fritz, B. (2015, October 5). Disney parks consider off-peak prices. Wall Street Journal. Grover, R. (1997). The Disney touch (Rev. ed.). Chicago, IL: Irwin. Gubernick, L. (1999, July 23). How safe is that theme park? Wall Street Journal. Gumbel, P., & Turner, R. (1994, March 10). Fans like Euro Disney but its parent’s goofs weigh the park down. Wall Street Journal. Hannon, K. (1987, August 10). All aboard! Forbes, 140(3). Harwell, D. (2015, June 12). How theme parks like Disney World left the middle class behind. Washington Post. Jackson, C., & Gamerman, E. (2006, April 15). Rethinking the thrill factor. Wall Street Journal. Laing, J. R. (2003, July 28). Golf glut. Barron’s. Lainsbury, A. (2000). Once upon an American dream: The story of Euro Disneyland. Lawrence: University Press of Kansas. Marr, M., & Cutler, K.-M. (2005, July 1). Fine line on wild rides. Wall Street Journal. McCracken, J. (2008, August 5). No fun for six flags as parks face slump. Wall Street Journal. McDowell, E. (1998, June 21). The new monster of the midway. New York Times. Mosley, L. (1987). Disney’s world: A biography. Briarcliff Manor, NY: Stein and Day. Mrowca, M. (1983, July 8). Amusement park in Ohio has its ups and downs but continues to draw crowds after 114 years. Wall Street Journal. Newport, J. P. (2007, April 2). How golf went off course. Wall Street Journal. Ono, Y. (1990, August 8). Theme parks boom in Japan as investors and consumers rush to get on the ride. Wall Street Journal. Schickel, R. (1968). The Disney version: The life, times, art and commerce of Walt Disney. New York: Simon & Schuster. Schweizer, P., & Schweizer, R. (1998). Disney: The mouse betrayed. Washington, DC: Regnery. Spindle, B. (2001, March 22). Cowboys and Samurai: The Japanizing of Universal. Wall Street Journal. 332 References

Tagliabue, J. (1995, August 23). Step right up, Monsieur!: Growing disneyfication of Europe’s theme parks. New York Times. Tagliabue, J. (2000, September 2). Giving theme parks a Whirl: Europeans warm to an American experience. New York Times. Tagliabue, J. (2007, July 4). Thrill rides for investors. New York Times. Tanikawa, M. (2001, March 2). Japanese theme parks facing rough times. New York Times. Welsh, J. (1999, May 12). Premier parks intends to grow big by thinking small. Wall Street Journal. Wrighton, J., & Orwall, B. (2005, January 26). Despite losses and bailouts, France stays devoted to Disney. Wall Street Journal. Yoshino, K. (2008, April 3). Amusement parks playing to international audiences. Los Angeles Times.

Further Reading for Chapter 7

Alsos, G. A., Eide, D., & Madsen, E. L. (Eds.). (2014). Handbook of research on innovation in tourist industries. Cheltenham, England: Edward Elgar. Bannon, L. (1996, October 2). Universal Studios’ plan to expand in Florida moves Disney to Battle. Wall Street Journal. Barbaro, M. (2011, January 9). A wizard rivals Mickey. New York Times. Blaine, T. W. (1993). Input-output analysis. Applications to the assessment of the economic impact of tourism. In M. A. Khan, M. D. Olsen, & T. Var (Eds.), VNR’s encyclopedia of hospitality and tourism (pp. 663–670). New York: Van Nostrand Reinhold. Botterill, D., & Platenkamp, V. (2012). Key concepts in tourism research. London: Sage. Brebbia, C. A., & Pineda, F. D. (Eds.). (2010). Sustainable tourism IV. Southampton, England: WIX Press. Candela, G., & Figini, P. (2012). The economics of tourism destinations. Heidelberg, Germany: Springer. Carvajal, D. (2015, July 12). In tourist destinations, a picture of excess. New York Times. Cater, E., & Lowman, G. (Eds.). (1994). Ecotourism: A sustainable option? Chichester, England: Wiley. Chambers, E. (Ed.). (1997). Tourism and culture: An applied perspective. Albany: State Univer- sity of New York Press. Cornes, R., & Sandler, T. (1996). The theory of externalities, public goods and club goods (2nd ed.). New York: Cambridge University Press. Dwyer, L., & Forsyth, P. (Eds.). (2006). International handbook on the economics of tourism. Cheltenham, England: E. Elgar. Evans, N., Campbell, D., & Stonehouse, G. (2003). Strategic management for travel and tourism. Oxford, England: Butterworth-Heinemann. Fletcher, J., Fyall, A., Gilbert, D., & Wanhill, S. (2013). Tourism: Principles and practice (5th ed.). Harlow, England: Pearson Education. Frechtling, D. C. (2001). Forecasting tourism demand: Methods and strategies. Oxford, England: Butterworth-Heinemann. Frechtling, D. C. (1996). Practical tourism forecasting. Oxford, England: Butterworth- Heinemann. Graham, A., Papatheodorou, A., & Forsyth, P. (Eds.). (2008). Aviation and tourism: Implications for leisure travel. Aldershot, England: Ashgate. Hakim, D., & Petropoulos, A. (2015, January 21). A last resort. New York Times. Herman, F. E., & Hawkins, D. E. (1989). Tourism in contemporary society. Englewood Cliffs, NJ: Prentice-Hall. Higham, J. (Ed.). (2007). Critical issues in ecotourism. Oxford, England: Elsevier/Butterworth- Heinemann. References 333

Holloway, J. C. (2001). The business of tourism (6th ed.). London: Financial Times Management (5th ed. Essex, England: Addison Wesley Longman). Kass, D. I., & Okubo, S. (2000). U.S. travel and tourism satellite accounts for 1996 and 1997. In Survey of current business. Washington, DC: U.S. Department of Commerce, Bureau of Economic Analysis. Lyle, C. (2011). Climate change impacts and inter-agency cooperation in tourism and travel. ICAO Journal, 66(2), 34–36. Mak, J. (2004). Tourism and the economy: Understanding the economics of tourism. Honolulu: University of Hawaii Press. Martin, F. (1994). Determining the size of museum subsidies. Journal of Cultural Economics, 18, 225–270. McCartney, S. (2012, October 18). The best and worst U.S. cities for travel taxes. Wall Street Journal. Medlik, S. (2003). Dictionary of travel, tourism & hospitality (3rd ed.). Oxford, England: Butterworth-Heinemann. Mouffakir, O., & Burns, P. M. (Eds.). (2012). Controversies in tourism.Oxfordshire,England:CABI. Mourato, S., Ozdemiroglu, E., Hett, T., & Atkinson, G. (2004). Pricing cultural heritage. World Economics, 5(3), 95–113. Neil, J., & Wearing, S. (1999). Ecotourism impacts, potentials and possibilities. Oxford, England: Butterworth-Heinemann. Oppermann, M. (Ed.). (1997). Geography and tourism marketing. Binghamton, NY: Haworth Press. Page, S. J. (1999). Transport and tourism. Essex, England: Addison-Wesley Longman. Page, S. J., & Dowling, R. K. (2002). Ecotourism. Harlow, England: Prentice-Hall/Pearson. Pasztor, A. (2004, January 29). Travel’s last frontier. Wall Street Journal. Pasztor, A. (2008, March 26). Economy fare ($100,000) lifts space-tourism race. Wall Street Journal. Pasztor, A. (2013, October 22). Startup to sell balloon trips to edge of space. Wall Street Journal. Pechlaner, H., & Smeral, E. (Eds.). (2015). Tourism and leisure: Current issues and perspectives of development. Wiesbaden, Germany: Springer/Gabler. Pizam, A., & Mansfeld, Y. (Eds.). (1999). Consumer behavior in travel and tourism. Binghamton, NY: Haworth Press. Simon, S., & Pasztor, A. (2011, September 1). Slow liftoff for space tours. Wall Street Journal. Singh, J. P. (2010). Globalized arts: The entertainment economy and cultural identity. New York: Columbia University Press. Stabler, M. J., Papatheodoru, A., & Sinclair, M. T. (Eds.). (2010). The economics of tourism (2nd ed.). London: Routledge. Starship Enterprise: The Next Generation. (2008, January 26). The Economist. Swarbrooke, J. (1999). Consumer behavior in tourism. Oxford, England: Butterworth-Heinemann. Swarbrooke, J., & Horner, S. (2001). Business travel and tourism. Oxford, England: Butterworth- Heinemann. Tribe, J. (2011b). The economics of recreation, leisure and tourism (4th ed.). Oxford, England: Elsevier/Butterworth-Heinemann. Var, T., & Lee, C. K. (1993). Tourism forecasting: State-of-the-art techniques. In A. Khan, M. D. Olsen, & T. Var (Eds.), NVR’s encyclopedia of hospitality and tourism. New York: Van Nostrand Reinhold. Verhovek, S. H., & Kaufman, L. (2001, September 20). America’s fear of flying has devastating effect on tourist businesses. New York Times. Wearing, S., & Neil, J. (1999). Ecotourism: Impacts, potentials and possibilities. Oxford, England: Butterworth-Heinemann. Weed, M., & Bull, C. (2004). Sports tourism: Participants, policy, and providers. Oxford, England: Butterworth-Heinemann/Elsevier. Weiner, T. (2001, January 12). Mexico’s green dream: No more Cancu´ns. New York Times. Witt, S. F., & Martin, C. (1992). Modelling and forecasting demand in tourism. London: Academic. Index

A Boeing 247, 51 Abrams Rate Index, 132 Boeing 707, 51 Accelerated depreciation schedules, 145 Boeing 737, 51 Accounting issues Boeing 747, 52 airline industry, 105 Boeing Stratoliner, 51 automobile industry, 138 Comet, 51 bus industry, 138 Concorde, 52 casino industry, 210–215 Douglas DC-3, 51 cruise line industry, 138 Douglas DC-4, 51 gambling industry, 210–215 Douglas DC-10, 52 hotel industry, 169–170 financing, 102 for hotel restaurants, 160 fleet size, 83 railroads, 138 Junkers F13 monoplane, 49 Adjusted enterprise value (AEV), 114 Lockheed L-1011, 52 Adjusted FFO (AFFO), 168 Sopwith Camel, 49 Admissions, amusement/theme park, 226, 228 speed, 81 Advertising wide-bodied, 28, 52 airline industry, 64 Airline Deregulation Act of 1978, 52 casino industry, 210–212 Airline industry cruise line industry, 129 accounting issues, 105 gambling industry, 199 advertising, 37, 64 hotel industry, 156, 157, 161, 162, 175, 182 airport management, 70, 74 industrial structure, 37 capacity for carriage, 61 intensity ratio, 64 cargo carriage, 60 Aeronautical revenues, 71 charters, 57 Age deregulation, 36, 52 and demand for leisure goods and services, economic characteristics 15–17 airline-business failures, 79 and leisure time, 7, 15–17 antitrust, 93 transportation spending by, 17, 18 cost control, 75–76 Agencies, travel. See Travel agencies cross-elasticities, 84–85 Air Commerce Act, 49 economies of density, 76 Aircraft fleet selection, 75

© Springer International Publishing Switzerland 2016 335 H.L. Vogel, Travel Industry Economics, DOI 10.1007/978-3-319-27475-1 336 Index

Airline industry (cont.) segments, 32–37 geographic location and predominant vs. S&P 500 index, 262 condition, 79 structural features, 31–32, 55 hub-airport facilities, 76–77 taxis, 57 income elasticity, 84, 86 technology in, 48, 52 Internet’s exponential growth, 77 and tourism, 244 macroeconomic sensitivities, 74–76 traffic forecasting, 94 monopolistic competitive/oligopolistic, valuation of assets, 113 87–88 yield, 60 network industries, 78 Airline Pilot’s Association (ALPA), 59 operating cost per average Airline Reporting Corporation (ARC), 69 ton-kilometer, 79–80 Airline Tariff Publishing Co. (ATPCO), 66 per capita income series, 85 Airmail, 49, 50 predation, 93–94 Air Mail Act of 1934, 50 price elasticities, 86 Airports productivity factors, 81–84 commercialization of, 72 total operating expenses, percentage, GARB, 71 80–81 globalization of, 73 traffic flow rates, 87, 89 Heathrow Airport, 50 traffic forecasting, 94–97 hubs, 63 transportation modes, 87 leases of, 73 transportation, pricing, 89–93 management, 62, 70–74 unit operating costs, 78–79 privatizations of, 71 effect of prices on hotel industry, 171, 172, public shares in, 73 175, 182 revenues, 59 elasticities of demand, 64 structural features, 31–32 fractional-ownership carriers, 57 traffic, 50 history and milestones, 48, 52 Airport throughput units (APU), 72 hub-and-spoke networks, 82 Air Safety Board, 51 labor relations, 58 Air/sea mix, 127 leases, 107, 109 Air Transport Association (ATA), 81 major airlines, 55 AIR 21, 90 marginal costs and revenues, 19, 20, 93 Alberta, Canada, 192 marketing Alliances, airline, 63 advertising and reservation systems, Allocentrics, 239 64–66 Alternative-opportunity costs, 259 frequent-flyer program, 67–68 American Airlines, 49, 51 primary marketing efforts, 63–64 Amortization of debt, 170 travel agencies, 68–70 Amtrak, 135, 137 types, 63 Amusement parks national carriers, 57 attendance vs. unemployment and, 229 oil, price of, 53 economic sensitivities, 228–229 operating items, 105 financial operating characteristics, 222–226 operational characteristics, 55 history, 219 overview, 48 milestones, 224 passenger revenue per passenger-mile, 138 oligopoly structure, 31 predation, 93 overview, 219 regional carriers, 57 recreational resorts, 226–228 regulation, 52 service industry census comparisons, 228 sale-leasebacks, 109 valuation of assets, 228–229 Index 337

worldwide attendance trends, 229 Average daily rate (ADR), 148–151, 164 Andrew, W.P., 156 Avis, 130, 131, 134 Anticipation phase, 238 Antitrust, 94 Antitrust policies and laws, 93 B APCD. See Available passenger-cruise days Baccarat, 204, 207, 208 (APCD) Backward-bending labor-supply curve, 12–14 Arison, Ted, 120 Bad-debt allowances, 213 Asia Baggage handling, 82 casino industry in, 195–196 Bakken, 219 gambling industry in Macau, 191, 195, Balance of trade, in tourism, 250–253 196, 204 Bank financing, 102 rail industry in Japan, 137 Bankruptcy in gambling industry, 202 tourism agencies in Japan, 245 Barrett, N.S., 14 Assessed value, 176 Barriers to entry, 18 Assets. See also Valuation of assets Becker, G.S., 4 depreciation, 138, 145 Bernoulli, D., 216 NAV, 178, 179 Berzon, A., 218 sales in hotel industry, 169 Betas, 102 theme parks, 228–229 Betbug, 194 Association of Flight Attendants (AFA), 59 Betfair, 194 Astro-tourism, 265 Betting limits, 204 Atlantic City, New Jersey Betting service companies, 194 history of, 189–191 Bet-to-buy-in ratio, 210 vs. Las Vegas, 198, 212 Beverage sales on cruises, 126 receivables, 213 Bifurcated structure of bus industry, 135 regulation, 201 Bingo, 193, 199, 206 revenues, 190 Binion’s Horseshoe, 204 square footage, 193 Blackjack, 204, 206, 208 visitor length of stay, 189 Blackstone Group, 230 Atlantis hotel-casino, 202 Boeing 247, 51 Attendance trends for theme parks, 226, 229 Boeing 707, 51 Attraction types, 241–242 Boeing 737, 51 Australia, tourism in, 238 Boeing 747, 52 Automobile industry. See also Car rentals Boeing Stratoliner, 51 accounting issues, 138 Bonds, 166 average miles traveled in car, 28 Booking seasons for cruises, 133 finance issues, 138 Book value history, 129–134 guidelines for evaluating travel-related, 264 RPMs of vs. public carriers, 131 hospitality real estate, 176 travel agent commissions, 132 Brand name Auto rentals, 129–134 airline marketing, 63 Abrams Rate Index, 132 hotel industry, 155–157, 162–165 brand competitors, 127, 130 loyalty, 67 depreciation schedules, 138 Breakeven point, 169, 224 fleet purchases, 133 Britain, airline industry development in, 49 structure of industry, 31–32 British Airways, 50 Available lower berth day (ALBD), 125 Broadcast of gaming ads, 199 Available passenger-cruise days (APCD), 125 Bryan v. Itasca County, Minnesota (1976), 192 Available seat-miles (ASM), 61 Budget, 130, 131, 134, 236 Average cost (AC), 19 Build, operate, and transfer (BOT) deals, 73 338 Index

Bull, A., 10 Carrying value, 176 Bureau of Labor Statistics, 6, 11, 13, 14, 30 Cash available for distribution (CAD), 167 Bus industry Cash flows, 34 accounting issues, 138 casinos, 203, 212–213 finance issues, 138 discounted, 38–39 overview, 134–135 EBITDA, 98 profitability, 135 to equity, 38 regulations, 134 free, 263 revenue passenger miles, 131, 138 guidelines for evaluating travel-related, 263 segments, 32–37 theme parks, 230 structure of industry, 31–32 volatility, 263 Business travel weak growth, 36 airline, 66, 74, 85 Casino gambling ads, 199 demand for, 25 Casino industry. See also Atlantic City, New elasticities, 86 Jersey; Las Vegas, Nevada price elasticities, 86 accounting policies, 210–215 Bus Regulatory Reform Act, 135 advertising, 37 Button, K.J., 25, 29 in Asia, 195–196 baccarat, 204, 207, 208 blackjack, 204, 206, 208 C in Canada, 194 Caesars Palace, 213 cash and credit, 212–213 Cage, in casinos, 214 certifying customer’s financial California v. Cabazon Band of Mission Indians credibility, 213 (1987), 192 classification of, 187 Camping resorts, 227 craps, 186, 204, 206, 208, 209 Canada on cruise ships, 126 casino gaming, 194 duration of playing time, 205 charity games in, 192 expected utility and, 16 CTC, 245 financial performance, 202–203 Canadian Tourism Commission (CTC), 245 funding functions, 199–200 Capacity gambling and economics, 216–218 airline, 61 game performances, 207 dumping, 93 gaming square footage, 193 Capital investment, 48, 72, 89, 116, 227, history, 185–186 230, 259 illegal activities in, 202 Capitalization rate, 177–179, 181 on Indian reservations, 191–195, 213 Capital lease, 107, 108 macroeconomic matters, 197 Carbon-taxes, 42 management policies, 210–215 Card games. See Games of chance marketing matters, 210–212 Cargo carriage in airline industry, 60 milestones, 195 Carnival Cruise Lines, 120 in Nevada, 188–189 Carnival Destiny (ship), 122 in New Jersey, 189–191 Car rentals performance standards, 205–209 Abrams Rate Index, 132 procedural paradigms, 214–215 advertising, 37 profit principles and terminology, 203–209 brand competitors, 127, 130 psychology, 216 depreciation schedules, 138 regulation, 200–202 fleet purchases, 133 revenues, 187, 188, 191, 196, 197, 200, marketing, 134 209, 213 price-discrimination, 134 on riverboats, 191–195 structure of industry, 31–32 slots, 194, 200–202, 205, 209, 211 travel agent commissions, 132 vs. S&P 500 index, 262 Index 339

structural category, 31–32 Contracts, management, 155–156 in U.S., 186–195 Copenhagen’s Bakken, 219 valuation of assets, 202–203 Corporate Gaming Act, 189 win rate, 205 Costs. See also Marginal cost C corps, 168 alternative-opportunity, 259 Cedar Fair, 230 approach, 176 Central Credit Inc., 213 average, 19 Certificates for major airlines, 57 categories, airline industry, 75 Chance, games of. See Games of chance direct operating, 105 Charity games, 192, 194 economies of scale, 76, 117 Charter airlines, 57, 70 of food on cruise ships, 126 Circus Circus casino, 213 hotel industry, 151–153, 172, 176 City pairing, 63 per passenger-mile, 60 Civil Aeronautics Act of 1938, 51 prime, 161 Civil Aeronautics Authority (CAA), 51 sunk, 19, 31, 151 Civil Aeronautics Board (CAB), 51 in theme parks, 224 Civil Air Transport Subsidies Committee, 50 of tourism, 4, 19 Clubs weighted average cost of capital, 102, 109 destination, 158 Country-club business model, 159 health, 155, 179 Cramer, G., 216 poker, 193 Craps, 186, 204, 206, 208, 209 Code-sharing, 63 Credit cards, use in slot machines, 209 Collateralized mortgage-backed securities Credit, in casino industry, 212–213 (CMBS), 156, 165, 169 Credit slips, 206, 214 Collateral trust bonds, 166 Cross elasticity of demand, 21, 84, 164 Comet, 51 Cruise line industry Commercialization of airports, 72 accounting issues, 138 Commissions, travel-agent, 132 air/sea mix, 127 Comparative advantage theory, 250 booking seasons, 133 Comparative index, 251 economic aspects, 128–129 Comparison methods, valuation economic sensitivities, 128–129 variables, 39–40 finance issues, 138 Competition, 23 history, 119–124 management companies, 155 marketing, 129 monopolistic, 31, 37, 85, 260 operational aspects, 124–127 perfect, 31 origin-destination matrix, 121, 122 Competitive-monopolistic model, 19 passengers and berths, 121 Comps, 204, 207, 210, 212 price discrimination strategies, 129 Concession purchases, 73 profit and loss statement, 127, 128 Concorde, 52 sunk costs, 129 Condominium hotel units, 157, 159 yield, 125 Coney Island, New York, 220 Cruise ships Constant returns to scale, 260 foreign-flag, 123 Construction, hotel, 145, 148, 156, 173, 176 size of, 122 Consumer credit/debt, 17 space ratio, 126 Consumer price indexes (CPI), 30 Cultural dimension of tourism, 244 Consumer price index for all urban consumers Customers, profit provided by, 260 (CPI-U), 30, 36 Consumer surplus, 23 Continental Trailways, 135 D Contingent valuation methods (CVMs), 245 Debt Contract Air Mail Act (1925), 49 airline industry, 100 340 Index

Debt (cont.) Drifters, 239 capital markets, 101 Drop, 205–207, 210 and demand for leisure goods and Drop boxes, 214 services, 15–17 Dynamic fleet management, 62 equity ratios, 263 Debt-service-coverage (DSCR) ratios, 169 Debt-to-revenue ratio, 100 E Deferred revenue approach, 111 Eadington, W.R., 216 De Grazia, S., 3 Earnings before interest, taxes, depreciation, Demand. See also Elasticities of demand and amortization (EBITDA), 98, airline industry, 63 155, 167, 177, 178 barriers to entry, 18 Economic growth, 233 cross elasticity of, 84, 164 Economics demographics and debts, 15–17 advertising, 37 expected utility, 14–15 airline industry, 71 hotel industry, 170, 172 amusement/theme parks and resorts, 228 for leisure time, 12–14 cruise line industry, 128–129 productivity, 10–11 gambling and, 216–218 rail industry, 136 hotel industry, 170–175 for tourism, 19, 238 industry segments, 32–37 Demographics, and leisure activities oil, 42 demand, 15–17 overview, 3 Density, economies of, 76 personal consumption expenditures, 25–29 Departmental data, for hotels, 153–155 primary principles, 24 Department of Tourism, 245 promotion, 37 Department of Transportation (DOT) structures, 31–32 certificate, 57 supply and demand factors, 10–18 Dependency ratio, 17 time concepts, 3–10 Depreciation method tourism, 243–254 cash flow, 34–35, 148 Economies of density, 76 equipment, 138 Economies of scale, 117, 260 hotel industry, 145 Economy Deregulation of airline industry, 36, 52 effect of demand for air transport on, 75 Destination effect of tourism on, 245 clubs, 158 effect on airline industry, 97 cruise, 121, 122 effect on theme park attendance, 228–229 O-D market, 61, 63, 122 recessions, and airline industry, 53 Detroit, Michigan, 187 Ecotourism, 240–241, 248, 251 Direct effects of tourism, 248 Efficiency of theme parks, 226 Discounted cash flows, 38–39 Elasticities of demand Discount factor, 178, 179 airline industry, 64, 84 Discount rates cross-elasticities, 21 cruise line industry, 130 income, 21 hotel industry, 152 marginal costs and revenues, 19, 20 Discrimination, price. See Price discrimination overview, 19, 21 Disneyland, 220, 221 price, 12, 19, 21 Disney, W., 220 Enhanced equipment trust certificate Disney World, 221 (E-ETC), 103 Distance-decay function, 9, 10, 15 Enterprise, 130, 131 Dollar Car Rental, 131 Enterprise value (EV), 39, 114 Douglas DC-3, 51 gambling industry, 203 Douglas DC-4, 51 guidelines for evaluating travel-related Douglas DC-10, 52 securities, 264 Index 341

per berth, 125 bus industry, 138 Entertainment, gambling as, 201 cruise line industry, 138 Entertainment services, 28 hotel industry, 165–169 Entropy models, 96 nonrecourse bullet-loan, 145 Equipment depreciation schedules, 138 railroads, 138 Equipment financing, 106 Fitness certificate, 57 Equipment trust certificate (ETC), 103, 138 Flag-of-convenience, 123 Equity Flamingo Hotel, 188 airline industry, 55 Fleet cash flows to, 38 airline industry, 75 hotels, 167 car rentals, 133 REITs, 167 Flight scheduling, 75 structures, 169 Food costs, on cruise ships, 126 Europe Forecasting, traffic, 94 major theme parks in, 226 Foreign-flag ships, 123 pleasure gardens, 219 Four Seasons, 156 rail industry in, 137 Fractional-jet ownership programs, 58 Expected utility, 14–15, 216 France, airline industry development, 48 Expedia, 65, 175 Franchises Expenditures, personal-consumption. See hotels, 156–157 Personal-consumption expenditures rental cars, 132 Experience phase, 239 Francis, N., 8 Explorers, 239 Free cash flow (FCF), 35, 263 Export Credit Agency (ECA), 105 Free market, 187 Export industry, tourism as, 243 Free time, 259 Externalities, 245, 251 Freight carriage, in airline industry, 59 Freight carriers, in rail industry, 136 Frequency share vs. market share, 92 F Frequent-flyer programs, 67 Fair Labor Standards Act in 1938, 6 Fuel prices, 79 Fairs, 221, 230 Full pay-out lease, 109 Federal Aviation Act, 52 Funds from operations (FFO), 167, 168 Federal Aviation Administration (FAA), 49, 57 Furniture, fixtures, and equipment (FF&E) Federal Bureau of Investigation (FBI), 201 reserve, 156 Federal Communications Commission (FCC), 199 Fees G franchise agreements for hotels, 155 Gambling industry. See also Atlantic City, at tracks, 203, 206 New Jersey; Las Vegas, Nevada Fee simple estate, 158 accounting policies, 210–215 Fee simple title, 176 in Asia, 195–196 Fill slips, 214 baccarat, 204, 207, 208 Finance lease, 107, 109 blackjack, 204, 206, 208 Financial Accounting Standards Board (FASB) cash and credit, 212–213 statement 13, 107 certifying customer’s financial Financial characteristics credibility, 213 airline industry, 97 craps, 186, 204, 206, 208, 209 amusement/theme parks and resort, on cruise ships, 126 222–226 expected utility and, 16 casino industry, 202–203 financial performance, 202–203 Financing funding functions, 199–200 airline industry, 98 gambling and economics, 216–218 automobiles, 138 game performances, 207 342 Index

Gambling industry (cont.) Government, role in tourism, 245 gaming square footage in casinos, 193 Graham, A., 72 growth rate comparison of revenues by Gravity model, 96 category, 196 Greyhound, 135 history, 185–186 Gross domestic product, U.S. (GDP), 28, 40 illegal activities in, 202 deflator series, 30 on Indian reservations, 191–195, 213 vs. hotel occupancy rates, 171 Internet gaming, 193, 218 vs. revenue passenger-kilometers, 75 macroeconomic matters, 197 vs. tourism and airline industry, 244 management policies, 210–215 travel and tourism expenditures as marketing matters, 210–212 percentage, 26 milestones, 195 Gross national product (GNP), 28, 75 in Nevada, 188–189 Gross operating profit per available room in New Jersey, 189–191 (GoPAR), 149 performance standards, 205–209 Gross registered tons (GRT), 126 procedural paradigms, 214–215 Group inclusive tour (GIT) packages, 242 profit principles and terminology, 203–209 psychology, 216 regulation, 200–202 H revenues, 187, 191, 196 Hambling Committee, 50 on riverboats, 191–195 Handle, 197, 205–207 slots, 209, 211 Harrah’s, 202, 210 vs. S&P 500 index, 262 Heathrow Airport, 50 in U.S., 186–195 Heckscher-Ohlin theorem, 250 valuation of assets, 202–203 Hepburn Act of 1906, 136 Gambling Times, 205 Herfindahl–Hirschman Index (HHI), 32 Games of chance Hertz, 130, 131, 133, 134 baccarat, 204, 207, 208 High rollers, 213 blackjack, 204, 206, 208 Highway improvements, 130, 132, 144 craps, 186, 204, 206, 208, 209 Hilton, C., 144 slot machines, 194, 200–202, 205, 209 History win rate, 205, 207 airline industry, 48, 52 Game theory, 216 amusement/theme parks and resorts, 219 Gaming. See Gaming industry of automobile, 129–134 Gaming Commission, 201 casino industry, 185–186 Gaming Control Board, 201 cruise line industry, 119–124 General airport revenue bonds (GARB), 71 hotel industry, 143–147 Generally accepted accounting principles Hold, 206–208, 215 (GAAP), 107 Hold percentage (hold p.c.), 206, 210 Germany, airline industry development in, 48 Holiday Inn, 144 Gerson, K., 8 Holiday time, 4 Giffen goods, 21 Hotel industry Gini coefficient, 32 accommodation capacity, 181 Globalization of airports, 73 accounting issues, 169–170 Golf resorts, 227 advertising, 37 Goodwill amortization, 170 asset sales, 169 Government regulation brand name, 163–165 airline industry, 47 condos, 157–160 as barriers to entry, 18 departmental data, 153–155 basic concerns, 260–261 economic sensitivities, 170–175 bus industry, 134 equity, 169 casino industry, 200–202 establishments, receipts, and payrolls, gambling industry, 200–202 147, 174 Index 343

expected utility and, 15 Individual mass tourists, 239 financing frameworks, 165–169 Induced effects of tourism, 248 franchising, 156–157 Industry structures. See Structures, industry history of, 143–147 Inns, 143–147 loans, 169 Input-output analysis, 253–254 management contracts, 155–156 Insurable value, 176 marketing, 162–165 Internally generated cash, 101 milestones, 147 Internal Revenue Service (IRS), 201 mortgages, 166 Sections 168, 138 n/e ratio, 173 Sections 883 and 884 of Code, 124 non-REIT, 168 International Accounting Standards operating features, 149–162 for leases, 107 overview, 143 Statement 17, 110 REITs, 166–168 International Air Transport Association REMICs, 168–169 (IATA), 55 reservation systems, 162–163 International Association of Machinists restaurants in, 160–162 (IAM), 59 vs. S&P 500 index, 262 International Civil Aviation Organization, 60 structure of, 148 International landing agreements, 54 time-shares, 157–160 International tourism valuation of assets, 176–181 vs. airline industry and GDP, 244 worldwide chain-related hotel rooms and receipts for top ten countries, 250–253 properties, 147 spending on, 234, 236 Hotel industry leading indicator (HIL), 171 top destinations, 252 Hub-and-spoke networks, 82 trends of receipts, 252 Hubbart Room Rate Formula, 151 Internet Hubbert, M.K., 41 airline bookings, 69 Hupmobile, 134 gaming, 193, 218 Hydrogen-based economy, 42 hotel bookings, 153, 174 Interstate Wire Act of 1956, 193, 218 Law of Connectivity, 77 I virtual tourism, 242 Illegal gambling, 197, 202 Internet Gambling Enforcement Act Imperial Airways Limited, 50 of 2006, 218 Incentive fees, 155, 156 Internet gaming, 218 Inclusive tours, 242–243 Interstate Commerce Act, 136 Income Interstate Commerce Commission (ICC), and air travel, 74 134, 136 and demand for leisure time, 12–14 Interstate Highway Act of 1956, 144 elasticity, 21, 75, 243, 244 Interstate Highway System, 130, 144 in regression forecasting, 95 Interstate Wire Act of 1956, 193, 218 and travel, 28 Inverse elasticity pricing rule, 21 Income before fixed charges and management Investments in travel, 261–264 fees (IBFCMF), 156 Investment Tax Credit, 145 Income capitalization approach, 177 IRS. See Internal Revenue Service (IRS) Income effect, 12 Income-time paradox, 8 Incremental capital to output ratio (ICOR), 250 J Incremental cost method, 111 Jacobs, J.A., 8 Indian Gaming Regulatory Act (IGRA), 191 Japan Indian reservation gaming, 191–195, 213 rail industry, 137 Indirect effects of tourism, 248 tourism agencies, 245 Indirect operating cost (IOC), 105 Japan Airlines (JAL), 51 344 Index

Japan National Tourist Organization, 245 debt and, 15–17 JetBlue, 55 demand for, 12–14 Jets, development of, 47 expansion of, 259 Johnson’s model, 209 income and, 12–14 Jones Act, 123 productivity, 12–14 Junkers F13 monoplane, 49 spent on selected activities, 9 Junkets, 210 and tourist travel, 25 Veblen’s view, 8 Leontief, W., 253 K Leverage ratio, 98 Kelly Act, 49 Licensing in gambling industry, 200–202 Keynesian multiplier model, 249 Limited partnerships, 168, 169 Kitty Hawk,48 Limits, betting, 204 Klein, R.A., 127 Lindbergh, C., 50 Liquidation value, 176 Load factors (LF), 61 L Loans Labor cost percentage, 154 hotels, 169 Labor intensity, 260 long-term, 169 Labor issues short-to-intermediate, 169 airline industry, 58 Loan-to-value (LTV) ratios, 169 cruise line industry, 123 Location-based entertainment (LBE), 221 hotel industry, 174 Lockheed L-1011, 52 Landing agreements, 54 Lodging industry Las Vegas, Nevada accommodation capacity, 181 vs. Atlantic City, 198, 212 accounting issues, 169–170 gaming square footage in casinos, 193 asset sales, 169 history of, 188–189 brand name, 163–165 revenues, 190 condos, 157–160 visitor length of stay, 189 departmental data, 153–155 Laverty, M., 240 economic sensitivities, 170–175 Law of Connectivity, 77 equity, 169 Leasebacks, 109 establishments, receipts, and payrolls, Leases 147, 174 operating, 104 expected utility and, 16 tax, 102 financing frameworks, 165–169 Legalization of gambling franchising, 156–157 effect on local economy, 197 history of, 143–147 in New Jersey, 189 loans, 169 politics of, 199 management contracts, 155–156 revitalizing tourism with, 192 marketing, 162–165 in Singapore, 196 milestones, 147 Legalization of gaming, in Nevada, 188 mortgages, 166 Leisure goods and services n/e ratio, 173 apportionment among activities, 9 operating features, 149–162 demographics and, 15–17 overview, 143–147 expected utility comparisons, 14–15 REITs, 166–168 PCEs, 8 REMICs, 168–169 technological development, 10 reservation systems, 162–163 Leisure paradox, 17 restaurants in, 160–162 Leisure time vs. S&P 500 index, 262 age and, 7, 15–17 structure of, 148 availability of, 4–10 time-shares, 157–160 Index 345

valuation of assets, 176–181 Market share, 92 worldwide chain-related hotel rooms and Marriott Corporation, 221 properties, 147 MC. See Marginal cost (MC) Long-run average cost (LAC) curve, 87 McClanahan v. Arizona Tax Commission Long-term loans, 169 (1973), 192 Long, thin routes, 79 McGrattan, E.R., 7 Loss rebates, 207 McIntosh, R.W., 238 Lotteries, 186, 197, 199, 202, 206, 218 Memory phase, 239 Low-cost carriers (LCCs), 93 Meyer, J.R., 130 Lowenstein, R., 116 MGM Mirage, 202 Loyalty programs, hotel, 163 Microeconomics Lufthansa, 50 actual costs, 19 Luna Park, 220 airline industry, 75 competitive-monopolistic model, 19 marginal costs and revenues, 19–22 M sunk costs, 19 Macau, gambling industry in, 191, 195, 196, Milestones 204 airline industry, 48, 52 Macroeconomics amusement parks, 224 airline industry, 74, 76 casino industry, 195 casino industry, 197 gambling industry, 195 Major airlines, 55 lodging industry, 147 Managed competition model for casinos, 187 theme parks, 224 Management Modified Accelerated Cost Recovery System airport, 62 (MACRS), 101 casino industry policies, 210–215 Monopolistic competition, 31, 37, 88, 260 contracts, 155–156 Monopoly model for casinos, 187 hotels, 155–156 Moore, J., 205 Management company, 155–156 Morrell, P.S., 104, 109 Mann-Elkins Act in 1910, 136 Morrow Board, 49 Mardi Gras (ship), 120 Mortgage bonds, 166 Marginal cost (MC) Mortgage REIT, 167 airline industry, 19, 87 Mortgages, hotel, 166 elasticity of demand and, 19 Motels, 144 overview, 19–22 Motor Carrier Act in 1935, 134 Marginal revenue (MR) Movies, age and demand for, 15 airline industry, 87 Multipliers, 247–250 overview, 19–22 Marginal utility (MU), 14, 216 Margins. See Profit margin N Markers, 205 National carriers, 57 Market-efficiency theori, 217 National Income Accounting, 28 Marketing National Income and Product Account (NIPA), airline industry 10, 25 advertising and reservation systems, National Indian Gaming Commission 64–66 (NIGC), 192 frequent-flyer program, 67–68 National Rail Passenger Corporation primary marketing efforts, 63–64 (Amtrak), 137 travel agencies, 68–70 National Tourism Policy Act, 245 types, 63 National Trailways System, 135 casino industry, 210–212 Natural monopoly, 31 cruise line industry, 129 Needs vs. wants, income elasticity estimates hotel industry, 162–165 for, 21, 22 346 Index n/e ratio, 173 theme parks, 222–226 Net asset value (NAV), 178, 179 Operating income before depreciation and Net present value (NPV), 38, 39 amortization (OIBDA), 35 Net revenue yield (NRY), 125 Operating income, hotel industry, 149–162 Neurosis, gambling as, 216 Operating lease, 104, 107 Nevada, casino industry in, 188–189, 193, 199, Operating leverage, theme park, 224, 225, 227 201, 213, 215. See also Las Vegas, Operating performance Nevada airline industry, 97 Nevada Gaming Commission Regulations, 214 cruise line industry, 124–127 Nevada Gaming Control Board Operating ratio, 98, 153 regulations, 205 Options, valuation variables, 40 New Jersey, casino industry in, 188–191, 206, Organization of Petroleum Exporting 213. See also Atlantic City, New (OPEC), 52 Jersey Organized crime, 188, 189, 200, 201 Non-aeronautical revenues, 71 Organized mass tourists, 239 Nonqualified subsidiaries, 168 Origin to destination (O-D) market, 61, 63, 122 Nonrecourse bullet-loan financing, 145 Orthodox multiplier model, 249 Non-REIT hotel, 168 Oster, C.V. Jr., 130 Non-risk cars, 138 Outward journey phase, 238 Nonscheduled airline operators, 57 Own price elasticity of demand, 164 North American Industry Classification System Own price of service, in regression (NAICS), 174, 228 forecasting, 95 North Dakota, 192 Norwegian Cruise Lines, 120, 123 Nuevo Dominicano (ship), 120 P Paired-share REIT, 166 Partial interests title, 176 O Partnerships, 168, 169 Oasis of the Seas (ship), 122 Passenger-cruise days (PCD), 125 Occupancy index, 150 Passenger-miles (kilometers), 138 Occupancy rates, 125, 151, 152, 159, 173 Passenger revenue per available seat-mile cruise line industry, 124 (PRASM), 61 hotel industry, 150, 152, 159, 163–165, Passenger Shipping Act of 1896, 123 170, 171, 173 Passenger space ratio (PSR), 126 vs. percent change in GDP, 171 Passenger trains Oil prices and production accounting issues, 138 economics of, 42 finance issues, 138 effect on airline profits, 52 overview, 136–137 effect on hotel industry, 172 Pay less than true odds principle, 203 peak-oil thesis, 41 Peninsula and Oriental Steam Navigation Oil production and consumption, 42, 43 Co., 119 Okubo, S., 254 Perfect competition, 31 Oligopoly, 87, 260 Performance standards, casino industry, Oneidas, 192 205–209 Online gaming, 193, 194, 218 Performance, travel industry Online travel agencies (OTAs), 163, 175 common elements, 259 Open registries countries, 123 guidelines for evaluating travel-related, Operating certificate, 57 261–264 Operating costs overview, 259 airline industry, 58, 105 public policy issues, 260–261 direct, 105 Perishability of product, 152 indirect, 105 Personal-consumption expenditures (PCEs), 36 resort, 222–226 for air travel, 35 Index 347

for bus travel, 35 Privatizations of airports, 71 for leisure activities, 8 Procedural paradigms, casino industry, overview, 25–29 214–215 real per capita spending, 28 Productivity transportation services, 27 airline industry, 81 trends in selected categories, 27, 33 and leisure time availability, 12–14 by type of product/service, 35 Profitability Petzinger, T. Jr., 116 airline industry, 53, 101 Planting, M.A., 254 bus industry, 135 Pleasure gardens, 219 casino industry, 203–209 Point-to-point services, 63 effect of price changes on, 260 Poker clubs, 193 gambling industry, 203–209 Policy, travel industry hotel industry, 146 common elements, 259 rental cars, 133 guidelines for evaluating travel-related, theme parks, 225 261–264 time-share operations, 159 overview, 259 Profit and loss statement, cruise line industry, public policy issues, 260–261 127, 128 Pooling-of-interests accounting, 170 Project finance privatizations, 73 Population Promotion indicator for gambling industry, 212 airline industry, 70 in regression forecasting, 95 casino industry policies, 210–212 social effects of tourism, 251 cruise line industry, 129 Power laws, 24, 25 hotel industry, 160–163, 182 Predation, in airline industry, 93 industrial structure, 37 Price discrimination intensity ratio, 64 application of, 260 Psychocentrics, 239 cruise line industry, 129 Psychological propensities, classification of hotel industry, 151 tourists by, 238 overview, 23 Psychological roots of gambling, 216 tourism industry, 244 Public goods Price/earnings (P/E) ratios, 263 characteristics, 23 Price effects, 29–30 overview, 23 Price elasticities Public-opinion surveys, 6 airline industry, 86 Public shares, airports, 73 tourism industry, 243, 244 Price inflation indexes, 30 Price/pricing Q airline industry, 52, 83 Quaker City (ship), 119 car rentals, 130 Quality of life considerations, 248 changes in, effect on profitability, 260 Queen Mary 2 (ship), 122 discrimination, 23 hotel industry, 148, 149 inverse elasticity pricing rule, 21 R of oil, 47, 52, 53, 172 Radio, casino gambling ads, 199 Ramsey, 21 Rail industry rental cars, 132 accounting issues, 138 subsidy-free, 89 Europe, 137 Prices of substitutes, in regression finance issues, 138 forecasting, 95 overview, 136–137 Price-to-sales ratios, 263–264 revenue per passenger-mile, 138 Prime costs, 161 RPMs of vs. public carriers, 131 Private market values, 263 Railway Labor Act of 1926, 59 348 Index

Ramey, V.A., 8 cruise line industry, 124, 125 Ramsey pricing, 21 frequent-flyer program, 67 Rate of return on invested capital (ROIC), 101 gambling industry, 187, 188, 190, 191, 196, Real estate assets, 229 197, 200, 209, 213 Real estate investment trusts (REIT), 166, 167 hotel industry, 149, 154 hotels, 166–168 hotel restaurants, 161, 162 paired-share, 166 Nevada gaming, 215 UPREIT, 167 theme parks, 221 Real estate mortgage investment conduits Revenues per available room (RevPAR), 149, (REMICs), 168–169 150, 170 Recessionary economic cycles Ricardo, D., 250 airline industry, 74 Riverboats, gambling industry on, 191–195 casino industry, 202 Road improvements, 130, 132, 144 gambling industry, 197, 202 Roberts, K., 7, 8 hotel industry, 145, 146 Robinson, J.P., 7 investments in travel, 262 Rogerson, R., 7 theme park attendance, 228 Rones, P.L., 8 Recreational goods and services Room-nights, 150 PCEs, 25, 27, 28 Round-robin flights, 63 real per capita spending, 28 Royal Caribbean, 120, 122–124, 127 Recreational resorts, 226–228 Rupert, P., 7, 8 Regional carriers, 57 Regional expositions, 221 Regression forecasting, 95 S Regulation, 18 SABRE reservation system, 64 airline industry, 52 Sale-leasebacks, 109, 138 as barriers to entry, 18 Satisfaction. See Utility basic concerns, 260–261 Schafer, A., 28, 29 bus industry, 134 Scheduling, flight, 64 casino industry, 200–202 Schmidgall, R. S., 156 gambling industry, 200–202 Schor, J.B., 6 REIT Modernization Act of 1999, 166, 168 Schwartz, D.G., 216 Rentals, car. See Car rentals S-curve effect, 62 Reservation systems Seasonal variations airline industry, 64 recreational resorts, 227 hotels, 162–163 theme parks, 222, 228 Resorts tourism industry, 243 economic sensitivities, 228–229 Section 883, IRS code, 124 financial operating characteristics, 222–226 Section 884, IRS code, 124 history, 219 Securities in modern times, 220–222 CMBS, 156, 165, 169 overview, 219 travel industry investment guidelines, recreational, 226–228 261–264 valuation of assets, 228–229 Securities and Exchange Commission Restaurants (SEC), 124 advertising, 37 Securitization, 166 in hotels, 160–162 September 11, 2001 terrorist attacks, 52, 125 turnover, 161 Sharp, C.H., 4 Return journey phase, 239 Ships. See Cruise ships Returns to scale, 260 Short-to-intermediate loans, 169 Revenue passenger-kilometers (RPK), 75 Shy, O., 78 Revenue passenger-miles (RPM), 59, 131 Siegel, Benjamin “Bugsy”, 188 Revenue ratio, 100 Sinclair, M.T., 250 Revenues Singapore, legalization of gambling, 196 advertising intensity ratio, 61 Single European Sky, 90 Amtrak, 137 Six Flags, 221, 230 Index 349

Ski resorts, 227, 228 Tariff guidelines for international routes, 92 Skolnick, J.H., 188 Taxes Slot machines, 194, 196, 200–202, 205, airline industry, 111 209, 211 cruise line industry, 123, 124 Smith, S.J., 5, 6 gambling industry, 188 Social effects of tourism, 251 hotel industry, 145 Sociedade de Turismo, 195 Taxis, airline, 57 Sopwith Camel, 49 Tax leases, 102 Southwest, 55 Tax Reform Act of 1986, 145, 166 Space ratio, 126 Technological development Special-purpose entities (SPE), 111 in airline industry, 48, 52 Spectator sports, 205 automobile industry, 136 Speed of aircraft, 81 gambling industry, 210–212 S&P 500 index, 262 hotel industry, 174 Spoils conference, 50 hotel restaurants, 162 Sports, betting on, 205 investment in travel, 261–264 Square footage of casinos, 193 and PCEs, 28 SRI International, 239 Television, casino gambling ads, 199 Stabilized income assumption method, 180 Tennis resorts, 227 Stabler, M., 250 Terrorist attacks, 52, 125 Stage length, 81 Theme parks Standard Industrial Classification (SIC) advertising, 37 system, 253 attendance vs. unemployment and, 229 State fairs, 221 economic sensitivities, 228–229 Steeplechase Park at Coney Island, 220 estimated attendance, 222 Stiff sheets, 214 financial operating characteristics, 222 St. Petersburg paradox, 216 financial ratio averages, 226 Strikes, airline industry, 59 history, 219 Structures, industry in modern times, 220–222 airline industry, 48 milestones, 224 hotel industry, 148 operating leverage, 224, 225, 227 Subsidies overview, 219 airline industry, 105 profit as function of attendance, 225 cruise line industry, 123 recreational resorts, 226 rail industry, 137 revenues, 221 Subsidy-free pricing, 89 service industry census comparisons, 228 Substitution effect, 12 valuation of assets, 228–229 Sunk costs, 19, 31 worldwide attendance trends, 229 cruise line industry, 129 worldwide facilities, 229 hotel industry, 151 Thrifty, 130, 131, 134 in travel and tourism, 19 Ticketing, 82 Supply and demand Time. See also Leisure time barriers to entry, 18 and air travel, 71 demand for leisure, 12–14 availability of, 4–10 demographics and debts, 15–17 as commodity, 4 expected utility, 14–15 economic value of, 3 productivity, 10–11 Time-shares, 157–160 schedules, 12, 13 Titanic (movie), 129 Titanic (ship), 129 Ton-kilometers, 59 T Ton-miles, 59 Table games, 196, 205, 206, 208, 210–212, 218 Tourism Taft Broadcasting Company, 221, 230 vs. airline industry and GDP, 244 350 Index

Tourism (cont.) common elements, 259 astro-tourism, 265 direct dependence of, 40 attraction types, 241–242 expected utility, 14–15 balance of trade, 250–253 guidelines for evaluating travel-related costs, 19 securities, 261–264 demand for, 19 income and, 28 direct dependence of, 40 overview, 3 distance-decay function, 9, 10, 15 PCEs, 25–29 economic features, 243–254 power laws, 24 ecotourism, 240–241 primary principles, 19–24 estimated income multipliers for selected as public goods, 23 countries, 250 public policy issues, 260–261 inclusive tours, 242–243 reasons for travel, 149 input-output analysis, 253 structural categories, 31 international spending on, 234, 236 structures, 58 leisure time for, 25 supply and demand factors, 10–18 multipliers, 247–250 time concepts, 3–10 overview, 233–234 Travelocity, 65, 175 production account, 254 Travelweb.com, 175 promotion of, 234 Triangular flights, 63 receipts for top ten countries, 250–253 Tribal casinos, 188 top international destinations, 252 Trunk carriers, 55 tourist types, 236–240 Turnover, hotel restaurant, 161 trends of international tourism receipts, 252 TWA, 49 virtual, 242 Tourists age considerations, 15–17 U definition of, 233 Umbrella Partnership Real Estate Investment estimated income multipliers for selected Trust (UPREIT), 167 countries, 250 Unemployment rates, 14 types of, 236–240 Uniform System of Accounts, 153 Tracks, 203, 206 for hotels, 153 Trade balances, 250–253 for restaurants, 161 Trade-sales, 73 Uniform Systems of Accounts for the Lodging Traffic, airport, 54 Industry (USALI), 153 Traffic forecasting, 94 Unions, airline industry, 59 Trains. See Rail industry United Airlines (UAL), 59, 145 Trans-Canada Air, 50 United Nation’s World Tourism Organization Transfer price comparison approach, 176–177 (UNWTO), 235 Transportation Act of 1958, 137 United States Transportation services business productivity in, 11 PCEs, 25, 27, 28 casino industry in, 186–195 public spending on, 132 hotel industry leading indicator, 171 real per capita spending, 28 major theme parks in, 226 spending, by age, 17, 18 oil production and consumption, 38, 43 Travel agencies Universal Studios, 221, 230 advertising, 37 Urban hotels, 149 airline industry, 63 U.S. Bureau of Economic Analysis, 26 car rental commissions, 132 U.S. Census of Selected Service Industries, 228 cruise line industry, 121 U.S. Department of Commerce, 6, 7, 14 Travel industry U.S. Penal Code, 194 barriers to entry into, 18 U.S. Post Office, 49 challenge for, 42 Utility Index 351

expected, 14–15 W marginal, 14, 216 Wagering. See Gambling industry Utility-function models, 216, 217 Walker, D.M., 200 Wall Street Journal, 168, 240 Wants vs. needs, income elasticity estimates V for, 21, 22 Vacation ownership interests (VOI), 157–160 Waterparks, 221 Vacation time, 4 Watres Act, 50 Valuation of assets Wealth, marginal utility of, 216 airline industry, 113 Web-based gaming, 194 amusement/theme parks and resorts, Weighted average cost of capital (WACC), 228–229 38, 102 casino industry, 202–203 Whales, 207 hotel industry, 176–181 Wide-bodied aircraft, 52 Valuation of travel time savings, 10 Wilson, K., 144 Valuation ratios, 114 Win, 205 Valuation variables, 37–40 per square foot, 215 comparison methods, 39–40 rate, 205, 207, 208 discounted cash flows, 38–39 Witt, C.A., 95 options, 40 Witt, S.F., 95 Value Women, labor force participation, 17 AEV, 114 Work and workweek assessed, 176 average hours, 4–10, 12, 14 book, 176, 264 conditions, 14 carrying, 176 educational opportunities, 14 enterprise, 39 Worker fatigue, 14 EV, 114, 125, 203, 264 Work load unit (WLU), 72 insurable, 176 WorldRes Europe, 175 liquidation, 176 World’s Columbian Exposition, 220 LTV ratios, 169 World Tourist Organization, 233, 243 NAV, 178, 179 World War I, 6, 48 of time, 3 World War II, 51 private market, 263 Values and lifestyles (VALS), 239 Vanocur, B., 168 Y Vauxhall Gardens, 219 Yield Victor, D., 28, 29 airline industry, 60 Video lottery terminals (VLTs), 193 cruise line industry, 125 Virtual tourism, 242 hotel industry, 150 Volatility, cash flow, 263 management, 62, 63, 150 Voyager (ship), 122 Yield per room (YPR), 150