Dictionary-Of-Economics-2.Pdf
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Perfect Competition--A Model of Markets
Econ Dept, UMR Presents PerfectPerfect CompetitionCompetition----AA ModelModel ofof MarketsMarkets StarringStarring uTheThe PerfectlyPerfectly CompetitiveCompetitive FirmFirm uProfitProfit MaximizingMaximizing DecisionsDecisions \InIn thethe ShortShort RunRun \InIn thethe LongLong RunRun FeaturingFeaturing uAn Overview of Market Structures uThe Assumptions of the Perfectly Competitive Model uThe Marginal Cost = Marginal Revenue Rule uMarginal Cost and Short Run Supply uSocial Surplus PartPart III:III: ProfitProfit MaximizationMaximization inin thethe LongLong RunRun u First, we review profits and losses in the short run u Second, we look at the implications of the freedom of entry and exit assumption u Third, we look at the long run supply curve OutputOutput DecisionsDecisions Question:Question: HowHow cancan wewe useuse whatwhat wewe knowknow aboutabout productionproduction technology,technology, costs,costs, andand competitivecompetitive marketsmarkets toto makemake outputoutput decisionsdecisions inin thethe longlong run?run? Reminders...Reminders... u Firms operate in perfectly competitive output and input markets u In perfectly competitive industries, prices are determined in the market and firms are price takers u The demand curve for the firm’s product is perceived to be perfectly elastic u And, critical for the long run, there is freedom of entry and exit u However, technology is assumed to be fixed The firm maximizes profits, or minimizes losses by producing where MR = MC, or by shutting down Market Firm P P MC S $5 $5 P=MR D -
Chapter 17: Consumption 1
11/6/2013 Keynes’s conjectures Chapter 17: Consumption 1. 0 < MPC < 1 2. Average propensity to consume (APC) falls as income rises. (APC = C/Y ) 3. Income is the main determinant of consumption. CHAPTER 17 Consumption 0 CHAPTER 17 Consumption 1 The Keynesian consumption function The Keynesian consumption function As income rises, consumers save a bigger C C fraction of their income, so APC falls. CCcY CCcY c c = MPC = slope of the 1 CC consumption APC c C function YY slope = APC Y Y CHAPTER 17 Consumption 2 CHAPTER 17 Consumption 3 Early empirical successes: Problems for the Results from early studies Keynesian consumption function . Households with higher incomes: . Based on the Keynesian consumption function, . consume more, MPC > 0 economists predicted that C would grow more . save more, MPC < 1 slowly than Y over time. save a larger fraction of their income, . This prediction did not come true: APC as Y . As incomes grew, APC did not fall, . Very strong correlation between income and and C grew at the same rate as income. consumption: . Simon Kuznets showed that C/Y was income seemed to be the main very stable in long time series data. determinant of consumption CHAPTER 17 Consumption 4 CHAPTER 17 Consumption 5 1 11/6/2013 The Consumption Puzzle Irving Fisher and Intertemporal Choice . The basis for much subsequent work on Consumption function consumption. C from long time series data (constant APC ) . Assumes consumer is forward-looking and chooses consumption for the present and future to maximize lifetime satisfaction. Consumption function . Consumer’s choices are subject to an from cross-sectional intertemporal budget constraint, household data a measure of the total resources available for (falling APC ) present and future consumption. -
Nber Working Paper Series Financial Markets and The
NBER WORKING PAPER SERIES FINANCIAL MARKETS AND THE REAL ECONOMY John H. Cochrane Working Paper 11193 http://www.nber.org/papers/w11193 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 March 2005 This review will introduce a volume by the same title in the Edward Elgar series “The International Library of Critical Writings in Financial Economics” edited by Richard Roll. I encourage comments. Please write promptly so I can include your comments in the final version. I gratefully acknowledge research support from the NSF in a grant administered by the NBER and from the CRSP. I thank Monika Piazzesi and Motohiro Yogo for comments. The views expressed herein are those of the author(s) and do not necessarily reflect the views of the National Bureau of Economic Research. © 2005 by John H. Cochrane. All rights reserved. Short sections of text, not to exceed two paragraphs, may be quoted without explicit permission provided that full credit, including © notice, is given to the source. Financial Markets and the Real Economy John H. Cochrane NBER Working Paper No. 11193 March 2005, Revised September 2006 JEL No. G1, E3 ABSTRACT I survey work on the intersection between macroeconomics and finance. The challenge is to find the right measure of "bad times," rises in the marginal value of wealth, so that we can understand high average returns or low prices as compensation for assets' tendency to pay off poorly in "bad times." I survey the literature, covering the time-series and cross-sectional facts, the equity premium, consumption-based models, general equilibrium models, and labor income/idiosyncratic risk approaches. -
DUOPOLY MICROECONOMICS Principles and Analysis Frank Cowell
Prerequisites Almost essential Monopoly Useful, but optional Game Theory: Strategy and Equilibrium DUOPOLY MICROECONOMICS Principles and Analysis Frank Cowell April 2018 Frank Cowell: Duopoly 1 Overview Duopoly Background How the basic elements of the Price firm and of game competition theory are used Quantity competition Assessment April 2018 Frank Cowell: Duopoly 2 Basic ingredients . Two firms: • issue of entry is not considered • but monopoly could be a special limiting case . Profit maximisation . Quantities or prices? • there’s nothing within the model to determine which “weapon” is used • it’s determined a priori • highlights artificiality of the approach . Simple market situation: • there is a known demand curve • single, homogeneous product April 2018 Frank Cowell: Duopoly 3 Reaction . We deal with “competition amongst the few” . Each actor has to take into account what others do . A simple way to do this: the reaction function . Based on the idea of “best response” • we can extend this idea • in the case where more than one possible reaction to a particular action • it is then known as a reaction correspondence . We will see how this works: • where reaction is in terms of prices • where reaction is in terms of quantities April 2018 Frank Cowell: Duopoly 4 Overview Duopoly Background Introduction to a simple simultaneous move Price price-setting problem competitionCompetition Quantity competition Assessment April 2018 Frank Cowell: Duopoly 5 Competing by price . Simplest version of model: • there is a market for a single, homogeneous good • firms announce prices • each firm does not know the other’s announcement when making its own . Total output is determined by demand • determinate market demand curve • known to the firms . -
9.1 Financial Cost Compared with Economic Cost 9.2 How
9.0 MEASUREMENT OF COSTS IN CONSERVATION 9.1 Financial Cost Compared with Economic Cost{l} Since financial analysis relates primarily to enterprises operating in the market place, the data of costs and retums are derived from the market prices ( current or expected) of the transactions as they are experienced. Thus the cost of land, capital, construction, etc. is the ~ recorded price of the accountant. By contrast, in economic analysis ( such as cost bene fit analysis) the costs and benefits of a project are analysed from the point of view of society and not from the point of view of a single agent's utility of the landowner or developer. They are termed economic. Some effects of the project, though conceming the single agent, do not affect society. Interest on borrowing, taxes, direct or indirect subsidies are transfers that do not deploy real resources and do not therefore constitute an economic cost. The costs and the retums are, in part at least, based on shadow prices, which reflect their "social value". Economic rate of retum could therefore differ from the financial costs which are based on the concept of "opportunity cost"; they are measured not in relation to the transaction itself but to the value of the resources which that financial cost could command, just as benefits are valued by the resource costs required to achieve them. This differentiation leads to the following significant rules in conside ring costs in cost benefit analysis, as for example: (a) Interest on money invested This is a transfer cost between borrower and lender so that the economyas a whole is no different as a result. -
Curious About Cryptocurrencies? Investors Need to Make Sure They Separate “Investing” from “Speculation” by Don Mcarthur, CFA®
Curious About Cryptocurrencies? Investors Need to Make Sure They Separate “Investing” from “Speculation” By Don McArthur, CFA® Bitcoin and other cryptocurrencies have received plenty of media coverage lately, and it is natural for investors to wonder about them. Even celebrities have become associated with Bitcoin publicity through social media. Interest has piqued to a point where there are even Exchange Traded Funds (ETFs) that invest in Bitcoin, giving investors the means to invest in the Futures market. After having performed in-depth research on Bitcoin and other cryptocurrencies, our position at Commerce Trust Company is that they should not currently play a role in client portfolios. As part of that research, Commerce Senior Vice President and Investment Analyst Don McArthur, CFA, put together a primer on the topic of cryptocurrencies in general. In the following commentary, he explains why Bitcoin at this stage is more about speculating than investing in something with intrinsic value. He also touches on how Blockchain networking technology not only supports cryptocurrencies, but many other industrial applications as well. We thought you would enjoy this commentary as McArthur shares his thoughts in a mind-opening Q&A. Q . What is Bitcoin and how did it start? A. Bitcoin is one of hundreds of digital currencies, or cryptocurrency, based on Blockchain technology. As an early mover, Bitcoin is by far the largest digital currency. Bitcoin was launched in 2009 by a mysterious person (or persons) known only by the pseudonym Satoshi Nakamoto. Unlike traditional currencies, which are issued by central banks, Bitcoin has no central monetary authority. -
Fritz Machlup's Construction of a Synthetic Concept
The Knowledge Economy: Fritz Machlup’s Construction of a Synthetic Concept Benoît Godin 385 rue Sherbrooke Est Montreal, Quebec Canada H2X 1E3 [email protected] Project on the History and Sociology of S&T Statistics Working Paper No. 37 2008 Previous Papers in the Series: 1. B. Godin, Outlines for a History of Science Measurement. 2. B. Godin, The Measure of Science and the Construction of a Statistical Territory: The Case of the National Capital Region (NCR). 3. B. Godin, Measuring Science: Is There Basic Research Without Statistics? 4. B. Godin, Neglected Scientific Activities: The (Non) Measurement of Related Scientific Activities. 5. H. Stead, The Development of S&T Statistics in Canada: An Informal Account. 6. B. Godin, The Disappearance of Statistics on Basic Research in Canada: A Note. 7. B. Godin, Defining R&D: Is Research Always Systematic? 8. B. Godin, The Emergence of Science and Technology Indicators: Why Did Governments Supplement Statistics With Indicators? 9. B. Godin, The Number Makers: A Short History of Official Science and Technology Statistics. 10. B. Godin, Metadata: How Footnotes Make for Doubtful Numbers. 11. B. Godin, Innovation and Tradition: The Historical Contingency of R&D Statistical Classifications. 12. B. Godin, Taking Demand Seriously: OECD and the Role of Users in Science and Technology Statistics. 13. B. Godin, What’s So Difficult About International Statistics? UNESCO and the Measurement of Scientific and Technological Activities. 14. B. Godin, Measuring Output: When Economics Drives Science and Technology Measurements. 15. B. Godin, Highly Qualified Personnel: Should We Really Believe in Shortages? 16. B. Godin, The Rise of Innovation Surveys: Measuring a Fuzzy Concept. -
Economics 329: ECONOMIC STATISTICS Fall 2016, Unique Number 34060 T, Th 3:30 – 5:00 (WCH 1.120) Instructor: Dr
University of Texas at Austin Course Outline Economics 329: ECONOMIC STATISTICS Fall 2016, Unique number 34060 T, Th 3:30 – 5:00 (WCH 1.120) Instructor: Dr. Valerie R. Bencivenga Office: BRB 3.102C Office hours (Fall 2016): T, Th 11:00 – 12:30 Phone: 512-475-8509 Email: [email protected] (course email) or [email protected] The best ways to contact me are by email and in person after class or in office hours. If I don’t answer my phone, do not leave a phone message – please send an email. Use the course email for most emails, including exam scheduling. COURSE OBJECTIVES Economic Statistics is a first course in quantitative methods that are widely-used in economics and business. The main objectives of this course are to explore methods for describing data teach students how to build and analyze probability models of economic and business situations introduce a variety of statistical methods used to draw conclusions from economic data, and to convey the conceptual and mathematical foundations of these methods lay a foundation for econometrics COURSE DESCRIPTION SEGMENT 1. The unit on descriptive statistics covers methods for describing the distribution of data on one or more variables, including measures of central tendency and dispersion, correlation, frequency distributions, percentiles, and histograms. In economics and business, we usually specify a probability model for the random process that generated the data (data-generating process, or DGP). The unit on probability theory covers the set-theoretic foundations of probability and the axioms of probability; rules of probability derived from the axioms, including Bayes’ Rule; counting rules; and joint probability distributions. -
Cost-Benefit Analysis and the Economics of Investment in Human Resources
DOCUMENT RESUME ED 04E d48 VT 012 352 AUTHOR Wood, W. D.; Campbell, H. F. TITLE Cost-Benefit Analysis and the Economics of Investment in Human Resources. An Annotated Bibliography. INSTITUTION Queen's Univ., Kingston (Ontario). Industrial Felaticns Centre. REPORT NO Eibliog-Ser-NO-E PU2 EATS 70 NOTE 217F, AVAILABLE FROM Industrial Relations Centre, Queen's University, Kingston, Ontario, Canada ($10.00) EDBS PRICE EDPS Price MF-$1.00 HC Not Available from EDRS. DESCRIPTORS *Annotated Bibliographies, *Cost Effectiveness, *Economic Research, *Human Resources, Investment, Literature Reviews, Resource Materials, Theories, Vocational Education ABSTRACT This annotated bibliography presents 389 citations of periodical articles, monographs, and books and represents a survey of the literature as related to the theory and application of cost-benefit analysis. Listings are arranged alphabetically in these eight sections: (1) Human Capital, (2) Theory and Application of Cost-Benefit Analysis, (3) Theoretical Problems in Measuring Benefits and Costs,(4) Investment Criteria and the Social Discount Rate, (5) Schooling,(6) Training, Retraining and Mobility, (7) Health, and (P) Poverty and Social Welfare. Individual entries include author, title, source information, "hea"ings" of the various sections of the document which provide a brief indication of content, and an annotation. This bibliography has been designed to serve as an analytical reference for both the academic scholar and the policy-maker in this area. (Author /JS) 00 oo °o COST-BENEFIT ANALYSIS AND THE ECONOMICS OF INVESTMENT IN HUMAN RESOURCES An Annotated Bibliography by W. D. WOOD H. F. CAMPBELL INDUSTRIAL RELATIONS CENTRE QUEEN'S UNIVERSITY Bibliography Series No. 5 Cost-Benefit Analysis and the Economics of investment in Human Resources U.S. -
New Insights on Retail E-Commerce (July 26, 2017)
U.S. Department of Commerce Economics Newand Insights Statistics on Retail Administration E-Commerce Office of the Chief Economist New Insights on Retail E-Commerce Executive Summary The U.S. Census Bureau has been collecting data on retail sales since the 1950s and data on e-commerce retail sales since 1998. As the Internet has become ubiquitous, many retailers have created websites and even entire divisions devoted to fulfilling online orders. Many consumers have By turned to e-commerce as a matter of convenience or to increase the Jessica R. Nicholson variety of goods available to them. Whatever the reason, retail e- commerce sales have skyrocketed and the Internet will undoubtedly continue to influence how consumers shop, underscoring the need for good data to track this increasingly important economic activity. In June 2017, the Census Bureau released a new supplemental data table on retail e-commerce by type of retailer. The Census Bureau developed these estimates by re-categorizing e-commerce sales data from its ESA Issue Brief existing “electronic shopping” sales data according to the primary #04-17 business type of the retailer, such as clothing stores, food stores, or electronics stores. This report examines how the new estimates enhance our understanding of where consumers are shopping online and also provides an overview of trends in retail and e-commerce sales. Findings from this report include: E-commerce sales accounted for 7.2 percent of all retail sales in 2015, up dramatically from 0.2 percent in 1998. July 26, 2017 E-commerce sales have been growing nine times faster than traditional in-store sales since 1998. -
Topics in Applied Economics VII: Economic History
Topics in Applied Economics VII: Economic History 2017-2018 Academic Year Master of Research in Economics, Finance and Management 1. Description of the subject Topics in Applied Economics VII Code: 32366 Total credits: 3 ECTS Workload: 75 hours Term: 3rd Type of subject: Optative Department of Economics and Business Teaching team: Claudia Rei (Vanderbilt University) Topics in Applied Economics VII 2. Teaching guide Introduction This course explores topics of interest to economic historians such as the long run international convergence/divergence pattern, institutions and property rights, the industrial revolution, population growth and migration, inequality, and cultural persistence. We focus mostly on the West and the specificities that allowed for its rise so to understand the region’s long-term economic success. To this end, we will first study historical changes in the medieval economy and then focus on the consequences of the industrial revolution. Students will have the opportunity of getting familiar with recent (and not so recent but classic) economic history research, understanding the methodology used in the economic analysis, and applying the economics concepts learned in Micro and Macro Theory Contents The reading list fully based on paper that can be accessed online through the university network. Every paper denoted by * will be discussed by the instructor during the class. Every paper denoted by # will be discussed in class by a student or a group of students. Non-marked papers are listed for interested students who would like to know more on a given topic. Every paper denoted by * or # can be covered in the final exam. THE FIELD OF ECONOMIC HISTORY Carlos, A. -
Recurrent Hyperinflations and Learning
Recurrent Hyperin‡ations and Learning Albert Marcet Universitat Pompeu Fabra and CEMFI Juan Pablo Nicolini Universidad Torcuato Di Tella and Universitat Pompeu Fabra Working Paper No. 9721 December 1997 We thank Tony Braun, Jim Bullard, George Evans, Seppo Honkapohja, Rodi Manuelli, Ramon Marimon, Tom Sargent, Harald Uhlig, Neil Wallace and Car- los Zarazaga for helpful conversations and Marcelo Delajara and Ignacio Ponce Ocampo for research assistance. All errors are our own. Part of this work was done when both authors were visiting the Federal Reserve Bank of Minneapolis. Research support from DGICYT, CIRIT and HCM is greatly appreciated. E-mail addresses: [email protected], [email protected]. CEMFI, Casado del Alisal 5, 28014 Madrid, Spain. Tel: 341 4290551, fax: 341 4291056, http://www.cem….es. Abstract This paper uses a model of boundedly rational learning to account for the observations of recurrent hyperin‡ations in the last decade. We study a standard monetary model where the fully rational expectations assumption is replaced by a formal de…nition of quasi-rational learning. The model under learning is able to match remarkably well some crucial stylized facts observed during the recurrent hyperin‡ations experienced by several countries in the 80’s. We argue that, despite being a small departure from rational expec- tations, quasi-rational learning does not preclude falsi…ability of the model and it does not violate reasonable rationality requirements. Keywords: Hyperin‡ations, convertibility, stabilization plans, quasi-rationality. JEL classi…cation: D83, E17, E31. 1 Introduction The goal of this paper is to develop a model that accounts for the main fea- tures of the hyperin°ations of last decade and to study the policy recomen- dations that arise from it.