4.2 Price Discrimination
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Price Discrimination in Service Industries
University of Pennsylvania ScholarlyCommons Operations, Information and Decisions Papers Wharton Faculty Research 6-2012 Price Discrimination in Service Industries Anja Lambrecht Katja Seim University of Pennsylvania Naufel Vilcassim Amar Cheema Yuxin Chen See next page for additional authors Follow this and additional works at: https://repository.upenn.edu/oid_papers Part of the Operations and Supply Chain Management Commons, Other Business Commons, Other Economics Commons, and the Service Learning Commons Recommended Citation Lambrecht, A., Seim, K., Vilcassim, N., Cheema, A., Chen, Y., Crawford, G. S., Hosanagar, k., Iyengar, R., Koenigsberg, O., Lee, R., Miravete, E. J., & Sahin, O. (2012). Price Discrimination in Service Industries. Marketing Letters, 23 (2), 423-438. http://dx.doi.org/10.1007/s11002-012-9187-0 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/oid_papers/78 For more information, please contact [email protected]. Price Discrimination in Service Industries Abstract This article outlines recent methods and applications directed at understanding the profit and consumer welfare implications of increasingly prevalent price discrimination strategies in the service sector. These industries are typically characterized by heterogeneity in consumers’ valuation and usage of the service, resale constraints, and a focus on price as the service’s key attribute. The article focuses on how firms use nonlinear pricing or bundling strategies to benefit from the heterogeneity in consumer demand. We describe the basic economic model commonly used in the literature to analyze such strategic choices and present recent methodological improvements to this benchmark. A discussion of existing applications and future research opportunities concludes the article. Keywords nonlinear pricing, bundling, service industries Disciplines Operations and Supply Chain Management | Other Business | Other Economics | Service Learning Author(s) Anja Lambrecht, Katja Seim, Naufel Vilcassim, Amar Cheema, Yuxin Chen, Gregory S. -
The Willingness to Pay, Accept, and Retire∗
The Willingness to Pay, Accept, and Retire∗ Philipp Schreiber,y Christoph Merkle,z Martin Weberx January 2016 Abstract Today's pay-as-you-go social security systems are put under pressure by increasing life ex- pectancy, the baby boomer generation entering retirement, and an early effective retirement age. In developed countries, many employees retire before reaching the full retirement age. Conduct- ing a large online experiment, we relate the retirement timing decision to the disparity between the willingness-to-accept (WTA) and the willingness-to-pay (WTP). Our results reveal that the framing of the decision problem strongly influences the reservation price for early retirement. The willingness-to-accept for early retirement is more than twice as high as the corresponding willingness-to-pay. Using actual values from the German social security system as market prices, we show that the presentation in a WTA frame can induce early retirement. In this frame, the implicit probability of retiring early increases by 30 percentage points. We also show that the disparity between WTA and WTP is correlated with loss aversion. Repeating the analysis in a representative household survey (German SAVE panel) we find similar results. JEL-Classification Codes: D03, D14, H55, J26 Keywords: Retirement Timing, Willigness-to-pay, Willigness-to-accept, Social Security. ∗We are grateful to the Frankfurter Allgemeine Zeitung for conducting the study with us. Intensive discussion with two journalists, Anne-Christin Sievers and Patrick Bernau, helped to considerably improve the questionnaire. We would also like to thank Sven Nolte for helpful comments. We further thank seminar participants at the University of Mannheim, participants of the IMEBESS 2014, Oxford, the Whitebox Advisors Graduate Student Conference 2014, Yale, the EF Conference 2014, Zuerich, and the German Finance Association 2014, Karlsruhe for valuable suggestions. -
MICROECONOMICS and POLICY ANALYSIS - U8213 Professor Rajeev H
MICROECONOMICS AND POLICY ANALYSIS - U8213 Professor Rajeev H. Dehejia Class Notes - Spring 2001 Auctions Wednesday, February 14 Reading: Handout, Thaler, Milgram There are two basic forms of auctions: Sealed bid submissions and open bids. In a sealed bid auction individuals do not know what others are bidding. Two types of Sealed Bid Auctions: 1st Price sealed bid auction: The highest bid submitted will be the winning bid. The winner pays what he/she bid. 2nd Price sealed bid auction: Everyone submits sealed bids and the winner is the one who submits the highest bid BUT the price paid by the winner is the 2nd highest bid submitted. Two types of open auctions: English auction: The bidding starts low and incrementally rises until someone is the highest bidder and no one is willing to outbid the highest bidder. Dutch auction: The price starts very high and is keeps going down until someone bids. The first person to bid wins. Why Study Auctions? 1) Auctions can be an efficient method of valuing goods. For example: rights to air waves, signals and bandwidth. The government auctioned off parts of the spectrum in anticipation of new technology. The auctions were appealing because well- structured auctions get people to reveal the true valuation of the good. The company (private entity) actually ends up paying to the government what the good is worth to them. It turned out with these auctions that the willingness to pay for a slice of the spectrum, as revealed by the auction outcome, was much higher than expected. 2) Procurement: Governments and entities want to procure goods and services at the lowest possible price (like an auction in reverse). -
Testing Neoclassical Competitive Market Theory in the Field
Testing neoclassical competitive market theory in the field John A. List* Agricultural and Resource Economics, University of Maryland, 2200 Symons Hall, College Park, MD 20742-5535 Communicated by Marc Nerlove, University of Maryland, College Park, MD, October 4, 2002 (received for review July 25, 2002) This study presents results from a pilot field experiment that tests terminates. One major difference between my experimental predictions of competitive market theory. A major advantage of design and Chamberlain’s design is that I allow for learning, this particular field experimental design is that my laboratory is the because subjects interact in multiple market periods. A more marketplace: subjects are engaged in buying, selling, and trading fundamental difference, of course, is that I am observing the activities whether I run an exchange experiment or am a passive behavior of agents who have endogenously chosen certain roles observer. In this sense, I am gathering data in a natural environ- within the market [such as being a buyer (nondealer) or seller ment while still maintaining the necessary control to execute a (dealer), intense or casual market participant, etc.]. A further clean comparison between treatments. The main results of the important characteristic of my field experiment is that I organize study fall into two categories. First, the competitive model predicts the four market treatments in a manner that allows me to explore reasonably well in some market treatments: the expected price and the role of buyer and seller experience on market outcomes: quantity levels are approximated in many market rounds. Second, treatment one includes randomly chosen buyers and randomly the data suggest that market composition is important: buyer and chosen sellers; a second treatment matches super-experienced seller experience levels impact not only the distribution of rents buyers with relatively inexperienced sellers; a third treatment but also the overall level of rents captured. -
2.2 Price Discrimination 2.2 Price Discrimination
2.2 Price Discrimination Matilde Machado Download the slides from: http://www.eco.uc3m.es/~mmachado/Teaching/OI-I-MEI/index.html 1 2.2 Price Discrimination Everyday situations where price discrimination occurs: Quantity Discounts – The same good is sold at different per unit prices to the same consumer depending on the quantity he/she buys. Ex: 2 for 1. When telephone companies charge a fixed tariff independently of the number of calls. It is a quantity discount since those that make more calls pay less per call. Doctor in a small village Doctor that charges different fees to insured and uninsured patients – the same service is sold to different consumers at different prices. Geographical Discrimination– “The Economist” Netherlands 1.69 Euros, Spain 1.46 Euros Industrial Organization- Matilde Machado 2.2. Price Discrimination 2 2.2 Price Discrimination More examples … Student Discounts Tariffs varying with the time of the day (telephone, electricity, etc) “Speedy boarding” at EASYJET Price of meals at restaurants (lunch is much cheaper than dinner). Frequent flyer programs Also, similar programs at the Laundry, the hairdresser, etc. offer loyalty cards where they mark the number of services consumed. After X services, we get 1 for free. Coupons – allow charging a lower price to those that have more time or more elastic demands. Industrial Organization- Matilde Machado 2.2. Price Discrimination 3 The carrier identifies the consumer’s willingness to pay by the number of days prior to the trip he/she buys the ticket Industrial Organization- Matilde Machado 2.2. Price Discrimination 4 2.2 Price Discrimination … a true example from The NY times blog: http://freakonomics.blogs.nytimes.com/2008/05/08/to-discriminate-you-need-to-separate/ “Other than the names on the packages and a bit of different description, the products are identical; and even the styles of the packages are identical. -
The Law and Economics of Price Discrimination in Modern Economies: Time for Reconciliation?
Scholarship Repository University of Minnesota Law School Articles Faculty Scholarship 2010 The Law and Economics of Price Discrimination in Modern Economies: Time for Reconciliation? Daniel J. Gifford University of Minnesota Law School, [email protected] Robert T. Kudrle University of Minnesota Hubert Humphrey Institute of Public Affairs, [email protected] Follow this and additional works at: https://scholarship.law.umn.edu/faculty_articles Part of the Law Commons Recommended Citation Daniel J. Gifford and Robert T. Kudrle, The Law and Economics of Price Discrimination in Modern Economies: Time for Reconciliation?, 43 U.C. DAVIS L. REV. 1235 (2010), available at https://scholarship.law.umn.edu/faculty_articles/358. This Article is brought to you for free and open access by the University of Minnesota Law School. It has been accepted for inclusion in the Faculty Scholarship collection by an authorized administrator of the Scholarship Repository. For more information, please contact [email protected]. The Law and Economics of Price Discrimination in Modern Economies: Time for Reconciliation? Daniel J. Gifford* Robert T. Kudrle** TABLE OF CONTENTS INTRODUCTION: LAWS TARGETING PRICE DISCRIMINATION .............. 1237 1. ECONOMIC CONCEPTIONS OF PRICE DISCRIMINATION: A BRIEF R EVIEW ..................................................................... 1239 A. Price Discrimination,Defined .......................................... 1239 B. Arbitrage,Market Power, and PriceDiscrimination ........ 1243 C. Price DiscriminationInvolving the Rates -
Price Discrimination, Search, and Negotiation in an Oligopoly: a Field Experiment in Retail Electricity∗
Price Discrimination, Search, and Negotiation in an Oligopoly: A Field Experiment in Retail Electricity∗ David P. Byrney Leslie A. Martiny Jia Sheen Nahy December 21, 2019 Abstract We use a field experiment to study price discrimination in a market with price posting and negotiation. Motivated by concerns that low-income consumers do poorly in mar- kets with privately-negotiated prices, we built a call center staffed with actors armed with bargaining scripts to reveal the determinants of negotiated prices. By experimen- tally manipulating how information is revealed within a sequential bargaining game, we identify price discrimination based on perceived search costs at the start of negotiations, which can be overcome if consumers reveal that they are informed. Combining posted and negotiated prices, we document important asymmetries between incumbents’ and entrants’ pricing structures that segment consumers based on their willingness to search and bargain. Finally, we show that incomplete subsidy pass-through for low-income households observed in our market is not due to discriminatory targeting; it can be explained by variation in consumers’ willingness and ability to search and bargain. JEL Classification: D83, L13, Q41 Keywords: Price discrimination, negotiation, search, natural field experiment, elec- tricity markets ∗We acknowledge support from the Australian Research Council and the Faculty of Business and Eco- nomics at The University of Melbourne. This research is governed by Ethics Approval 1648136 from The University of Melbourne. We have received helpful comments and suggestions from Aaron Barkley, Severin Borenstein, Jeremy Bornstein, Melisa Bubonya, Zan Fairweather, Matthew Freedman, Joseph Harrington, Matthew Lewis, Simon Loertscher, Fiona Scott Morton, Helena Perrone, Michelle Sovinsky, Steve Puller, Steve Tadelis, and participants at the 2017 Asia-Pacific IO Conference, 2019 Melbourne IO and Theory Workshop, 2019 POWER Workshop, 2019 NBER Energy Markets Workshop, and 2019 MaCCI Summer Institute in Competition Policy. -
Gender-Related Price Difference for Goods and Services
United States Government Accountability Office Report to Congressional Requesters August 2018 CONSUMER PROTECTION Gender-Related Price Differences for Goods and Services GAO-18-500 August 2018 CONSUMER PROTECTION Gender-Related Price Differences for Goods and Services Highlights of GAO-18-500, a report to congressional requesters Why GAO Did This Study What GAO Found Gender-related price differences occur Firms differentiate many consumer products to appeal separately to men and when consumers are charged different women by slightly altering product attributes like color or scent. Products prices for the same or similar goods differentiated by gender may sell for different prices if men and women have and services because of factors related different demands or willingness to pay for these product attributes. Of 10 to gender. While variation in costs and personal care product categories (e.g., deodorants and shaving products) that consumer demand may give rise to GAO analyzed, average retail prices paid were significantly higher for women’s such price differences, some products than for men’s in 5 categories. In 2 categories—shaving gel and policymakers have raised concerns nondisposable razors—men’s versions sold at a significantly higher price. One that gender bias may also be a factor. category—razor blades--had mixed results based on two price measures While the Equal Credit Opportunity Act analyzed, and two others—disposable razors and mass-market perfumes— and Fair Housing Act prohibit discrimination based on sex in credit showed no significant gender price differences. GAO found that the target and housing transactions, no federal gender for a product is a significant factor contributing to price differences law prohibits businesses from charging identified, but GAO did not have sufficient information to determine the extent to consumers different prices for the which these gender-related price differences were due to gender bias as same or similar goods targeted to opposed to other factors, such as different advertising costs. -
Experiments, and the Classical Theory of Price Formation Vernon L
Neoclassical Supply and Demand, Experiments, and the Classical Theory of Price Formation Vernon L. Smith Chapman University (based on joint work with Sabiou M. Inoua) CUNY Department of Economics November 3, 2020 Orientation: Classical economic representation of agents (buyers and sellers) in markets: Commodity space is discrete; transactions involve single units. (Think of a shopping basket with 1 qt. milk, # bacon, jar olives, box of cereal…our model allows but does not require multiple units.) Buyers each value a unit of a good, measured by the maximum amount of money they are willingness to pay for it. In aggregate, think of buyers defined by a distribution function values, v = d (Q); sellers each have minimum willingness to accept c = s (Q); d is non-increasing (order property of a DF); similarly s (Q) is non- decreasing. Price is not in these DFs because P has not yet been found by “higgling and bargaining” in the market. WHAT THIS TALK IS ABOUT *Role of experiments in discovering the failure of the neoclassical MU paradigm to predict experimental outcomes. *Revisiting classical value theory, i.e., the price formation discovery process as viewed by classical economists. *Formalizing the content of classical value theory PART I: DISCOVERING THE FAILURES OF NEOCLASSICAL MU ECONOMICS VIA EXPERIMENTS Characteristics of early market experiments • Small numbers • Each subject assigned one unit (or a few) • DA (oral outcry) trading rules (exogenous to economics) • Private decentralized value/cost information • Zero public information • Subjects Naïve in Economics • Prices unexpectedly converged to approximate a S&D clearing price, a point or set of points pre-defined in the experiments. -
Price Discrimination & Competition: Implications for Antitrust
Price Discrimination & Competition: Implications for Antitrust Luke Froeb & Dan O’Brien Nov 18, 2003 Federal Trade Commission Disclaimer: These views are not necessarily those of FTC or any of its Commissioners FTC 1 Price Discrimination is a Loaded Phrase in Antitrust Price discrimination implies “bad” things will happen. Logic: “Competitive” markets require P=MC. Price discrimination implies P>MC Hence, price discrimination implies that markets are not “competitive.” FTC 2 Price Discrimination v. Differential Pricing Price differences do not generally raise antitrust concerns E.g., movie theaters Price differences do not necessarily imply price discrimination E.g., revenue management (cruise lines) FTC 3 Antitrust Scholars on Price Discrimination “Persistent discrimination is very good evidence of monopoly because it is inconsistent with a competitive market; it implies that some consumers are paying more than the cost of serving them, a situation that would disappear with competition.” (Posner, Antitrust Law: An Economic Perspective) FTC 4 Economists on Price Discrimination, I “…systematic discrimination may bolster the monopoly power of already powerful firms and facilitate adherence to collusive price structures.” (Scherer and Ross, Industrial Market Structure and Economic Performance) FTC 5 Most of What You Thought You Knew is Wrong All of these “insights” come from comparing monopoly to perfect competition What happens when you compare oligopoly with discrimination to oligopoly without discrimination? None of these insights survive FTC 6 Monopoly vs. Oligopoly Price Discrimination Price discrimination allows monopolists to extract more consumer surplus But also expands market Consumer welfare effects ambiguous e.g., drugs in Northern vs. Southern Europe Price discrimination intensifies competition among oligopolists (in “typical” cases). -
A Probabilistic Approach to Pricing a Bundle of Products Or Services Author(S): R
A Probabilistic Approach to Pricing a Bundle of Products or Services Author(s): R. Venkatesh and Vijay Mahajan Reviewed work(s): Source: Journal of Marketing Research, Vol. 30, No. 4 (Nov., 1993), pp. 494-508 Published by: American Marketing Association Stable URL: http://www.jstor.org/stable/3172693 . Accessed: 07/11/2011 11:11 Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at . http://www.jstor.org/page/info/about/policies/terms.jsp JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact [email protected]. American Marketing Association is collaborating with JSTOR to digitize, preserve and extend access to Journal of Marketing Research. http://www.jstor.org R. VENKATESHand VIJAYMAHAJAN* The authors propose a probabilistic approach to optimally price a bundle of products or services that maximizes seller's profits. Their focus is on situations in which consumer decision making is on the basis of multiple criteria. For model de- velopment and empirical investigation they consider a season ticket bundle for a series of entertainment performances such as sports games and music/dance con- certs. In this case, they assume consumer purchase decisions to be a function of two independent resource dimensions, namely, available time to attend performances and reservation price per performance. Using this information, the model suggests the optimal prices of the bundle and/or components (individual performances), and corresponding maximum profits under three alternative strategies: (a) pure com- ponents (each performance is priced and offered separately), (b) pure bundling (the performances are priced and offered only as a bundle), and (c) mixed bundling (both the bundle and the individual performances are priced and offered sepa- rately). -
The Optimal Reservation Value with Market Movements
The optimal reservation value with market movements Yunyi Zhang School of Management, Huazhong University of Science and Technology, Wuhan 430074, China [email protected] Pu Gong School of Management, Huazhong Univeristy of Science and Technology, Wuhan 430074, China [email protected] Abstraction Despite the topic of real estate liquidity has aroused wide attention and research, the relationship between reservation values and liquidity is still little known in terms of theory. This paper investigates the problem that a seller of a house considers auction as the main form of sale mechanism to price its reservation value based on the market conditions, the demand changes and the likelihood of successful sale. We measure market value movements and market liquidity, deriving the seller’s optimal price. Our results show that seller’s reservation value moves more slowly than bidders not only in the upward market but also in the downward market. Meanwhile, market liquidity is greater in the upward market than in the downward market. In addition, the influencing factors that seller’s reservation value changes with market also include the inherent value of house and the number of participants arrived. Keywords: pricing, an auction process, market movement INTRODUCTION The real estate market is an important one that receives much concern from industry and academia while liquidity is a key topic of real estate research. Comparing with a public market, liquidity in a private asset market is less. Hot real estate market exhibits a rising trend with greater trading volume and higher price than norm, and it is much easy to sell assets (greater liquidity).