14.125: Market Design

Total Page:16

File Type:pdf, Size:1020Kb

14.125: Market Design 14.125: Market Design Last updated: 2/3/14 This is an advanced topics course on market and mechanism design. We will study existing or new market institutions, understand their properties, and think about whether they can be re-engineered or improved. This course assumes knowledge of the first year economics PhD sequence, especially microeconomic theory (14.121-4). Game theory (14.126) and courses from the industrial organization sequence are helpful, but not essential as background. Instructor: Parag Pathak, E17-240, [email protected] OH: Wednesday 1-2pm, or by appt TA: Yusuke Narita, [email protected], OH: TBD Course requirements: There will be three problem sets and one final paper. Depending on final course enrollment, we may ask students to do a class presentation on their final paper. Details will be distributed later in the semester. Recommended Textbooks: Milgrom, Paul (2004): Putting Auction Theory to Work. Churchill Lectures, Cambridge University Press. Roth, Alvin E. and Marilda Sotomayor (1990): Two-Sided Matching: A Study in Game- Theoretic Modelling and Analysis. Econometric Society Monograph Series, Cambridge University Press. These other books may be of interest: Krishna, Vijay (2002): Auction Theory. Academic Press. Klemperer, Paul (2004): Auctions: Theory and Practice. Toulouse Lectures, Princeton University Press. Moulin, Herv´e(1991): Axioms of Cooperative Decision Making. Econometric Society Monograph Series, Cambridge University Press. Shiller, Robert (1998): Macro Markets: Creating Institutions for Managing Society's Largest Economic Risks. Clarendon Lectures, Oxford University Press. Outline and References: 1. Introduction • Roth, Alvin E. (2002): \The Economist as Engineer: Game Theory, Experimen- tation, and Computation as Tools for Design Economics." Econometrica, 70(4), 1341-1378. 1 • Klemperer, Paul (2002): \What Really Matters in Auction Design?" Journal of Economic Perspectives, 16(1): 169-189. • Hahn, Robert W. (1984): \Market Power and Transferable Property Rights." Quar- terly Journal of Economics, 99(4): 753-765. • Joskow, Paul, Richard Schmalensee, and Elizabeth Bailey (1998): \The Market for Sulfur Dioxide Emissions." American Economic Review, 88(4), 669-685. • Weitzman, Martin (1977): \Is the Price System or Rationing More Effective in Get- ting a Commodity to Those Who Need it Most?" The Bell Journal of Economics, 8, 517-524. • Sah, Raj (1987): \Queues, Rations, and Market: Comparisons of Outcomes for the Poor and the Rich." American Economic Review, 77, 69-77. • Che, Y., I. Gale, and J. Kim (2013): \Allocating Resources to Budget-Constrained Agents." Review of Economic Studies, 80, 73-107. • Leslie, Phil and Alan Sorenson (2013): \Resale and Rent-Seeking: An Application to Ticket Markets." Review of Economic Studies, forthcoming • Bleakly, Hoyt and Joe Ferrie (2013): \Land Openings on the Georgia Frontier and the Coase Theorem in the Short- and Long-Run." Working paper, University of Chicago. • Coase, Ronald (1959): \The Federal Communications Commission." Journal of Law and Economics, 2, 1-41. • Coase, Ronald (1960): \The Problem of Social Cost." Journal of Law and Eco- nomics, 3, 1-44. 2. Basic Mechanism Design and Strategy-Proofness • Gibbard, Alan (1973): \Manipulation of Voting Schemes: A General Result." Econo- metrica , 41(4): 587-601. • Sattherwaite, Mark (1975): \Strategy-proofness and Arrow's Conditions: Existence and Correspondence Theorems for Voting Procedures and Social Welfare Functions." Journal of Economic Theory, 10: 187-217. • Reny, Phil (2002): \Arrow's Theorem and the Gibbard-Satterthwaite Theorem: A Unified Approach." Economics Letters, 70(1): 99-105. • Gibbard, Alan (1977): \Manipulation of Schemes that Mix Voting with Chance." Econometrica, 45: 665-681. • McLennan, Andy (2010): \Manipulation in Elections with Uncertain Preferences." Unpublished mimeo, University of Queensland. • Holmstr¨om,Bengt (1979): \Groves Schemes on Restricted Domains." Econometrica, 47(5): 1137-1144. • Green, Jerry R. and Jean-Jacques Laffont (1977): \Characterization of Satisfactory Mechanisms for the Revelation of Preferences for Public Goods." Econometrica, 45(2): 427-438. • Milgrom, P. and I. Segal (2002): \The Envelope Theorem for Arbitrary Choice Sets," Econometrica, 70(2): 583-601. 2 • Bikchandani, S., S. Chatterji, R. Lavi, A. Mualem, N. Nisan, and A. Sen (2006): \Weak Monotonocity Characterizes Deterministic Dominant Strategy Implementa- tion." Econometrica, 74(4): 1109-1132. • Wilson, Robert (1989): “Efficient and Competitive Rationing." Econometrica, 57, 1-40. • Sprumont, Yves (1991): \The Division Problem with Single-Peaked Preferences: A Characterization of the Uniform Allocation Rule." Econometrica, 59, 509-519. • Moulin, Herv´e(2000): \Priority Rules and Other Asymmetric Rationing Methods." Econometrica, 68(3): 643-684. 3. One-Sided Matching • Shapley, Lloyd and Herbert Scarf (1974): \On Cores and Indivisibility." Journal of Mathematical Economics, 1: 23-28. • Roth, Alvin E. and Andrew Postlewaite (1977): \Weak Versus Strong Domination in a Market with Indivisible Goods." Journal of Mathematical Economics, 4: 131-137. • Roth, Alvin E. (1982): \Incentive Compatibility in a Market with Indivisibilities." Economics Letters, 9: 127-132. • Hylland, Arnuand and Richard Zeckhauser (1977): \The efficient allocation of indi- viduals to positions." Journal of Political Economy, 87: 293-314. • Abdulkadiro˘glu,Atila and Tayfun S¨onmez(1999): \House Allocation with Existing Tenants." Journal of Economic Theory, 88: 233-260. • Roth, Alvin E., Tayfun S¨onmezand M. Utku Unver¨ (2003): \Kidney Exchange." Quarterly Journal of Economics, 119, 457-488. 4. Stochastic Matching Mechanisms • Abdulkadiro˘glu,Atila and Tayfun S¨onmez.(1998): \Random Serial Dictatorship and the Core from Random Endowments in House Allocation Problems." Econometrica, 66: 689-701. • S¨onmez,Tayfun and Utku Unver¨ (2005): \House Allocation with Existing Tenants: An Equivalence." Games and Economic Behavior, 52: 153-185. • Pathak, Parag and Jay Sethuraman (2011): \Lotteries in Student Assignment: An Equivalence Result." Theoretical Economics, 6(1): 1-18. • Bogomolnaia, Anna and Herve Moulin (2009): \A New Solution to the Random Assignment Problem." Journal of Economic Theory, 100: 295-328. • Kojima, Fuhito and Mihai Manea (2010): \Incentives in the Probabilistic Serial Mechanism." Journal of Economic Theory, 145: 106-123. • Kojima, Fuhito and Yeon-Koo Che (2010): \The Asymptotic Equivalence of Proba- bilistic Serial and Random Priority Mechanisms." Econometrica, 78: 1625-1672. • Liu, Qingming and Marek Pycia (2012): \Ordinal Efficiency, Fairness, and Incentives in Large Markets." Working paper, Columbia University. 3 • Hall, P. (1935): \On Representatives of Subsets." Journal of Mathematical Society, 19, 26-30. • Dutta, Bhaskar and Debray Ray (1989): \A Concept of Egalitarianism under Par- ticipation Constraints." Econometrica, 57, 615-35. • Bogolmanaia, Anna and Herve Moulin (2004): \Random Matching under Dichoto- mous Preferences." Econometrica, 72: 257-279. • Katta, Akshay-Kumar and Jay Sethuraman (2006): \A Solution to the Random Assignment Problem on the Full Preference Domain." Journal of Economic Theory, 131(1): 231-250. • Roth, Alvin E. , Tayfun S¨onmez, and M. Utku Unver (2005): \Pairwise Kidney Exchange." Journal of Economic Theory, 125(2): 151-188. • Roth, Alvin E., Tayfun S¨onmez,and Utku Unver¨ (2007): “Efficient Kidney Exchange: Coincidence of Wants in Markets with Compatibility-Based Preferences." American Economic Review, 97(3): 828-851. 5. Axiomatic Resource Allocation • Ma, Jipeng (1994): \Strategy-proofness and Strict Core in a Market with Indivisi- bilities." International Journal of Game Theory, 23: 75-83. • S¨onmez,Tayfun (1999): \Strategy-proofness and Essentially Single-valued Cores." Econometrica, 67(3): 677-689. • Svensson, Lars-Gunnar (1994): \Queue allocation of indivisible goods." Social Choice and Welfare 11, 323-330. • Svensson, Lars-Gunnar (1999): \Strategyproof Allocation of Indivisible Goods." So- cial Choice and Welfare 16, 557-567. • Papai, Szilvia (2000): \Strategyproof Assignment by Hierarchical Exchange", Econo- metrica, 68: 1403-1433. • S¨onmez,Tayfun and Utku Unver¨ (2010): \House Allocation with Existing Tenants: A Characterization." Games and Economic Behavior, 69(2): 425-445. • Pycia, Marek and Utku Unver¨ (2012): \Incentive Compatible Allocation and Ex- change of Discrete Resources." Working paper, UCLA. 6. Two-sided matching • Roth and Sotomayor, Chapters 2-5. • Gale, David and Lloyd Shapley (1962): \College Admissions and the Stability of Marriage." American Mathematical Monthly, 69: 9-15. • Roth, Alvin E. (1984): \The Evolution of the Labor Market for Medical Interns and Residents: A Case Study in Game Theory." Journal of Political Economy, 92: 991-1016. • Niederle, Muriel and Alvin E. Roth (2003): \Relationship Between Wages and Pres- ence of a Matching in Medical Fellowships." Journal of the American Medical Asso- ciations, 290(9): 1153-1154. 4 • Bulow, Jeremy and Levin, Jonathan (2006): \Matching and Price Competition." American Economic Review, 96(3): 652-668. • Roth, Alvin E. (1991): \A Natural Experiment in the Organization of Entry Level Labor Markets: Regional Markets for New Physicians and Surgeons in the U.K." American Economic Review, 81, 415-440. 7. Unraveling, timing, and congestion • Roth, Alvin E. and X. Xing (1994): \Jumping the Gun: Imperfections and Institu- tions Related to the Timing of Market Transactions." American Economic Review, 84, 992-1044. • Li, Hao and Sherwin
Recommended publications
  • Introduction to Computational Social Choice
    1 Introduction to Computational Social Choice Felix Brandta, Vincent Conitzerb, Ulle Endrissc, J´er^omeLangd, and Ariel D. Procacciae 1.1 Computational Social Choice at a Glance Social choice theory is the field of scientific inquiry that studies the aggregation of individual preferences towards a collective choice. For example, social choice theorists|who hail from a range of different disciplines, including mathematics, economics, and political science|are interested in the design and theoretical evalu- ation of voting rules. Questions of social choice have stimulated intellectual thought for centuries. Over time the topic has fascinated many a great mind, from the Mar- quis de Condorcet and Pierre-Simon de Laplace, through Charles Dodgson (better known as Lewis Carroll, the author of Alice in Wonderland), to Nobel Laureates such as Kenneth Arrow, Amartya Sen, and Lloyd Shapley. Computational social choice (COMSOC), by comparison, is a very young field that formed only in the early 2000s. There were, however, a few precursors. For instance, David Gale and Lloyd Shapley's algorithm for finding stable matchings between two groups of people with preferences over each other, dating back to 1962, truly had a computational flavor. And in the late 1980s, a series of papers by John Bartholdi, Craig Tovey, and Michael Trick showed that, on the one hand, computational complexity, as studied in theoretical computer science, can serve as a barrier against strategic manipulation in elections, but on the other hand, it can also prevent the efficient use of some voting rules altogether. Around the same time, a research group around Bernard Monjardet and Olivier Hudry also started to study the computational complexity of preference aggregation procedures.
    [Show full text]
  • Stable Matching: Theory, Evidence, and Practical Design
    THE PRIZE IN ECONOMIC SCIENCES 2012 INFORMATION FOR THE PUBLIC Stable matching: Theory, evidence, and practical design This year’s Prize to Lloyd Shapley and Alvin Roth extends from abstract theory developed in the 1960s, over empirical work in the 1980s, to ongoing efforts to fnd practical solutions to real-world prob- lems. Examples include the assignment of new doctors to hospitals, students to schools, and human organs for transplant to recipients. Lloyd Shapley made the early theoretical contributions, which were unexpectedly adopted two decades later when Alvin Roth investigated the market for U.S. doctors. His fndings generated further analytical developments, as well as practical design of market institutions. Traditional economic analysis studies markets where prices adjust so that supply equals demand. Both theory and practice show that markets function well in many cases. But in some situations, the standard market mechanism encounters problems, and there are cases where prices cannot be used at all to allocate resources. For example, many schools and universities are prevented from charging tuition fees and, in the case of human organs for transplants, monetary payments are ruled out on ethical grounds. Yet, in these – and many other – cases, an allocation has to be made. How do such processes actually work, and when is the outcome efcient? Matching theory The Gale-Shapley algorithm Analysis of allocation mechanisms relies on a rather abstract idea. If rational people – who know their best interests and behave accordingly – simply engage in unrestricted mutual trade, then the outcome should be efcient. If it is not, some individuals would devise new trades that made them better of.
    [Show full text]
  • Inattentive Consumers
    Inattentive Consumers Ricardo Reis∗ Department of Economics and Woodrow Wilson School, Princeton University, Princeton, NJ 08544, USA Abstract This paper studies the consumption decisions of agents who face costs of acquiring, absorbing and processing information. These consumers rationally choose to only sporadically update their information and re-compute their optimal consumption plans. In between updating dates, they remain inattentive. This behavior implies that news disperses slowly throughout the population, so events have a gradual and delayed effect on aggregate consumption. The model predicts that aggregate consumption adjusts slowly to shocks, and is able to explain the excess sensitivity and excess smoothness puzzles. In addition, individual consumption is sensitive to ordinary and unexpected past news, but it is not sensitive to extraordinary or predictable events. The model further predicts that some people rationally choose to not plan, live hand-to-mouth, and save less, while other people sporadically update their plans. The longer are these plans, the more they save. Evidence using U.S. aggregate and microeconomic data generally supports these predictions. JEL classification codes: E2, D9, D1, D8 ∗I am grateful to N. Gregory Mankiw, Alberto Alesina, Robert Barro, and David Laibson for their guidance and to Andrew Abel, Susanto Basu, John Campbell, Larry Christiano, Mariana Colacelli, Benjamin Friedman, Jens Hilscher, Yves Nosbusch, David Romer, John Shea, Monica Singhal, Adam Szeidl, Bryce Ward, Justin Wolfers, and numerous seminar participants for useful comments. The Fundação Ciência e Tecnologia, Praxis XXI and the Eliot Memorial fellowship provided financial support. Tel.: +1-609-258-8531; fax: +1-609-258-5349. E-mail address: [email protected].
    [Show full text]
  • The American Economic Review
    The American Economic Review ARTICLES CHARLES W.CALOMIRIS AND JONATHAN PRITCHETT Betting on Secession: Quantifying Political Events Surrounding Slavery and the Civil War EMMANUEL SAEZ AND STEFANIE STANTCHEVA Generalized Social Marginal Welfare Weights for Optimal Tax Theory KAIVAN MUNSHI AND MARK ROSENZWEIG Networks and Misallocatlon: Insurance, Migration, and the Rural-Urban Wage Gap MARK DUGGAN, CRAIG GARTHWAITE,AND APARAJITA GOYAL The Market Impacts of Pharmaceutical Product Patents in Developing Countries: Evidence from India IAIN M. COCKBURN,JEAN O. LANJOUW,AND MARK SCHANKERMAN Patents and the Global Diffusion of New Drugs YURIV GORODNICHENKO AND MICHAEL WEBER Are Sticky Prices Costly? Evidence from the Stock Market GEORGE-MARIOS ANGELETOS. LUIGl lOVINO, AND JENNIFER LA'O Real Rigidity, Nominal Rigidity, and the Social Value of Information JANUARY 2016 THE AMERICAN ECONOMIC REVIEW Editor February 2016 PlNELOPt KOUJIANOU GOLDBERG Coedilors VOLUME 106, NUMBER 2 MARKAGUIAR ROLAND BENABOU MARIANNE BERTRAND HILARY HOYNES JOHN LEAHY LUIGI PISTAFERRI DEB RAJ RAY Articles LARRY SAMUELSON Managing Editor STEVEN M. STELLING The Politics of Compromise Associate Managing Editor KELLY MARKEL Alcsscindro Bonatti and Heikki Rantakari 229 Assistant Managing Editor MATTHEW A. ROBERSON Poverty and Economic Decision-Making: Evidence Board ol Editors from Changes in Financial Resources at Payday NAGEEB ALI Leandro S. Carvalho, Stephan Meier, MANUELAMADOR and Stephanie W. Wang 260 MARCO BASSETTO SIMON BOARD LEAH BOUSTAN On Communication and Collusion
    [Show full text]
  • The Portfolio Optimization Performance During Malaysia's
    Modern Applied Science; Vol. 14, No. 4; 2020 ISSN 1913-1844 E-ISSN 1913-1852 Published by Canadian Center of Science and Education The Portfolio Optimization Performance during Malaysia’s 2018 General Election by Using Noncooperative and Cooperative Game Theory Approach Muhammad Akram Ramadhan bin Ibrahim1, Pah Chin Hee1, Mohd Aminul Islam1 & Hafizah Bahaludin1 1Department of Computational and Theoretical Sciences Kulliyyah of Science International Islamic University Malaysia, 25200 Kuantan, Pahang, Malaysia Correspondence: Pah Chin Hee, Department of Computational and Theoretical Sciences, Kulliyyah of Science, International Islamic University Malaysia, 25200 Kuantan, Pahang, Malaysia. Received: February 10, 2020 Accepted: February 28, 2020 Online Published: March 4, 2020 doi:10.5539/mas.v14n4p1 URL: https://doi.org/10.5539/mas.v14n4p1 Abstract Game theory approach is used in this study that involves two types of games which are noncooperative and cooperative. Noncooperative game is used to get the equilibrium solutions from each payoff matrix. From the solutions, the values then be used as characteristic functions of Shapley value solution concept in cooperative game. In this paper, the sectors are divided into three groups where each sector will have three different stocks for the game. This study used the companies that listed in Bursa Malaysia and the prices of each stock listed in this research obtained from Datastream. The rate of return of stocks are considered as an input to get the payoff from each stock and its coalition sectors. The value of game for each sector is obtained using Shapley value solution concepts formula to find the optimal increase of the returns. The Shapley optimal portfolio, naive diversification portfolio and market portfolio performances have been calculated by using Sharpe ratio.
    [Show full text]
  • Adam Smith 1723 – 1790 He Describes the General Harmony Of
    Adam Smith 1723 – 1790 He describes the general harmony of human motives and activities under a beneficent Providence, and the general theme of “the invisible hand” promoting the harmony of interests. The invisible hand: There are two important features of Smith’s concept of the “invisible hand”. First, Smith was not advocating a social policy (that people should act in their own self interest), but rather was describing an observed economic reality (that people do act in their own interest). Second, Smith was not claiming that all self-interest has beneficial effects on the community. He did not argue that self-interest is always good; he merely argued against the view that self- interest is necessarily bad. It is worth noting that, upon his death, Smith left much of his personal wealth to churches and charities. On another level, though, the “invisible hand” refers to the ability of the market to correct for seemingly disastrous situations with no intervention on the part of government or other organizations (although Smith did not, himself, use the term with this meaning in mind). For example, Smith says, if a product shortage were to occur, that product’s price in the market would rise, creating incentive for its production and a reduction in its consumption, eventually curing the shortage. The increased competition among manufacturers and increased supply would also lower the price of the product to its production cost plus a small profit, the “natural price.” Smith believed that while human motives are often selfish and greedy, the competition in the free market would tend to benefit society as a whole anyway.
    [Show full text]
  • Loss Aversion and Sunk Cost Sensitivity in All-Pay Auctions for Charity: Experimental Evidence∗
    Loss Aversion and Sunk Cost Sensitivity in All-pay Auctions for Charity: Experimental Evidence∗ Joshua Fostery Economics Department University of Wisconsin - Oshkosh August 30, 2017 Abstract All-pay auctions have demonstrated an extraordinary ability at raising money for charity. One mechanism in particular is the war of attrition, which frequently generates revenue well beyond what is theoretically predicted with rational bidders. However, what motivates the behavioral response in bidders remains unclear. By imposing charity auction incentives in the laboratory, this paper uses controlled experiments to consider the effects of loss aversion and sunk cost sensitivity on bidders’ willingness to contribute. The results indicate that revenues in incremental bidding mechanisms, such as the war of attrition, rely heavily on bidders who are sunk cost sensitive. It is shown this behavioral response can be easily curbed with a commitment device which drastically lowers contributions below theoretical predictions. A separate behavioral response due to loss aversion is found in the sealed-bid first-price all-pay auction, which reduces bidders’ willingness to contribute. These findings help explain the inconsistencies in revenues from previous all-pay auction studies and indicate a mechanism preference based on the distribution of these behavioral characteristics. Keywords: Auctions, Market Design, Charitable Giving JEL Classification: C92, D03, D44, D64 ∗I would like to thank Cary Deck, Amy Farmer, Jeffrey Carpenter, Salar Jahedi, Li Hao, and seminar participants at the University of Arkansas, ESA World Meetings, ESA North America Meetings, and the SEA Annual Meetings for their helpful comments at various stages of the development of this project. yContact the author at [email protected].
    [Show full text]
  • Robust Market Design: Information and Computation
    ROBUST MARKET DESIGN: INFORMATION AND COMPUTATION A DISSERTATION SUBMITTED TO THE DEPARTMENT OF COMPUTER SCIENCE AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY Inbal Talgam-Cohen December 2015 Abstract A fundamental problem in economics is how to allocate precious and scarce resources, such as radio spectrum or the attention of online consumers, to the benefit of society. The vibrant research area of market design, recognized by the 2012 Nobel Prize in economics, aims to develop an engineering science of allocation mechanisms based on sound theoretical foundations. Two central assumptions are at the heart of much of the classic theory on resource allocation: the common knowledge and substitutability assumptions. Relaxing these is a prerequisite for many real-life applications, but involves significant informational and computational challenges. The starting point of this dissertation is that the computational paradigm offers an ideal toolbox for overcoming these challenges in order to achieve a robust and applicable theory of market design. We use tools and techniques from combinatorial optimization, randomized algo- rithms and computational complexity to make contributions on both the informa- tional and computational fronts: 1. We design simple mechanisms for maximizing seller revenue that do not rely on common knowledge of buyers' willingness to pay. First we show that across many different markets { including notoriously challenging ones in which the goods are heterogeneous { the optimal revenue benchmark can be surpassed or approximated by adding buyers or limiting supplies, and then applying the standard Vickrey (second-price) mechanism. We also show how, by removing the common knowledge assumption, the classic theory of revenue maximiza- tion expands to encompass the realistic but complex case in which buyers are interdependent in their willingness to pay.
    [Show full text]
  • Explaining Charter School Effectiveness†
    American Economic Journal: Applied Economics 2013, 5(4): 1–27 http://dx.doi.org/10.1257/app.5.4.1 Explaining Charter School Effectiveness† By Joshua D. Angrist, Parag A. Pathak, and Christopher R. Walters* Lottery estimates suggest Massachusetts’ urban charter schools boost achievement well beyond that of traditional urban public schools stu- dents, while nonurban charters reduce achievement from a higher baseline. The fact that urban charters are most effective for poor nonwhites and low-baseline achievers contributes to, but does not fully explain, these differences. We therefore link school-level charter impacts to school inputs and practices. The relative efficacy of urban lottery sample charters is accounted for by these schools’ embrace of the No Excuses approach to urban education. In our Massachusetts sample, Non-No-Excuses urban charters are no more effective than nonurban charters. JEL H75, I21, I28 ( ) growing body of evidence suggests that urban charter schools have the poten- A tial to generate impressive achievement gains, especially for minority students living in high-poverty areas. In a series of studies using admissions lotteries to iden- tify causal effects, we looked at the impact of charter attendance in Boston and at a Knowledge is Power Program KIPP school in Lynn, Massachusetts Abdulkadiro g˘ lu ( ) ( et al. 2009, 2011; Angrist et al. 2010, 2012 . Boston and Lynn charter middle schools ) increase student achievement by about 0.4 standard deviations per year in math (σ) and about 0.2 per year in English Language Arts ELA . Among high school stu- σ ( ) dents, attendance at a Boston charter school increases student achievement by about 0.3 per year in math and 0.2 per year in ELA.
    [Show full text]
  • 1 Three Essential Questions of Production
    Three Essential Questions of Production ~ Economic Understandings SS7E5a Name_______________________________________Date__________________________________ Class 1 2 3 4 Traditional Economies Command Economies Market Economies Mixed Economies What is In this type of In a command economy, the In a market economy, the Nearly all economies in produced? economic system, what central government decides wants of the consumers and the world today have is produced is based on what goods and services will the profit motive of the characteristics of both custom and the habit be produced, what wages will producers will decide what market and command of how such decisions be paid to workers, what will be produced. A.K.A. economic systems. were made in the past. jobs the workers do, as well Free-enterprise, Laisse- as the prices of goods. faire & capitalism. This means that most How is it The methods of In a command economy, no Labor (the workers) and countries have produced? production are one can start their own management (the characteristics of a primitive. Bartering, or business. bosses/owners) together free market/free a system of trading in The government determines will determine how goods enterprise as well as goods and services, how and where the goods will be produced in a market some government replaces currency in a produced would be sold. economy. planning and control. traditional economy. For whom is The primary group for In a command economy, the In a market economy, each it produced? whom goods and government determines how production resource is paid services are produced the goods and services are based on what is in a traditional economy distributed.
    [Show full text]
  • MIT Pre-Doctoral Research Fellow Professors Joshua Angrist and Parag Pathak
    MIT Pre-Doctoral Research Fellow Professors Joshua Angrist and Parag Pathak Position Overview We are seeking a motivated, independent, and organized Pre-Doctoral Research Fellow to support efforts to evaluate and improve education programs and policies in the U.S. Research Fellows receive a two-year full-time appointment with the School Effectiveness and Inequality Initiative (SEII), a research lab based at the MIT Department of Economics and the National Bureau of Economic Research. SEII’s current research projects involve studies of the impact of education policies and programs in states like Massachusetts and cities such as Boston, Chicago, New York City, Indianapolis, and Denver. Principal Duties and Responsibilities Fellows will work closely with SEII Directors Joshua Angrist and Parag Pathak, as well as our collaborators at universities across the country, including Harvard University. Specific responsibilities include: o constructing data sets and preparing data for analysis o conducting analysis in Stata, R, and Matlab to answer research questions o presenting results and engaging in discussion in weekly team meetings o editing papers for publication The fellowship will be a full-time position located in Cambridge, Massachusetts. An employment term of two years is expected. This position is intended to act as a pathway to graduate school for candidates who plan to apply to an Economics or related Ph.D. program in the future. Previous fellows have gone to top-tier Economics Ph.D. programs, such as UC-Berkeley, MIT, and Stanford. Start date is flexible, with a strong preference for candidates who can begin on or before June 1, 2020.
    [Show full text]
  • Introduction to Computational Social Choice Felix Brandt, Vincent Conitzer, Ulle Endriss, Jérôme Lang, Ariel D
    Introduction to Computational Social Choice Felix Brandt, Vincent Conitzer, Ulle Endriss, Jérôme Lang, Ariel D. Procaccia To cite this version: Felix Brandt, Vincent Conitzer, Ulle Endriss, Jérôme Lang, Ariel D. Procaccia. Introduction to Computational Social Choice. Felix Brandt, Vincent Conitzer, Ulle Endriss, Jérôme Lang, Ariel D. Procaccia, Handbook of Computational Social Choice, Cambridge University Press, pp.1-29, 2016, 9781107446984. 10.1017/CBO9781107446984. hal-01493516 HAL Id: hal-01493516 https://hal.archives-ouvertes.fr/hal-01493516 Submitted on 21 Mar 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. 1 Introduction to Computational Social Choice Felix Brandta, Vincent Conitzerb, Ulle Endrissc, J´er^omeLangd, and Ariel D. Procacciae 1.1 Computational Social Choice at a Glance Social choice theory is the field of scientific inquiry that studies the aggregation of individual preferences towards a collective choice. For example, social choice theorists|who hail from a range of different disciplines, including mathematics, economics, and political science|are interested in the design and theoretical evalu- ation of voting rules. Questions of social choice have stimulated intellectual thought for centuries. Over time the topic has fascinated many a great mind, from the Mar- quis de Condorcet and Pierre-Simon de Laplace, through Charles Dodgson (better known as Lewis Carroll, the author of Alice in Wonderland), to Nobel Laureates such as Kenneth Arrow, Amartya Sen, and Lloyd Shapley.
    [Show full text]