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101 - 110 of 140 results for: ECON

ECON 277: Behavioral and Experimental Economics III

Economics 277 is a course for graduate students in the Economics department writing dissertations with behavioral or experimental components. Economics 277 is part of a three course sequence (along with Econ 278 & 279), which has two main objectives: 1) examining theories and evidence related to the psychology of economic decision making; 2) introducing methods of experimental economics, and exploring major subject areas (including those not falling within behavioral economics) that have been addressed through laboratory experiments. Focuses on series of experiments that build on one another in an effort to test between competing theoretical frameworks, with the objectives of improving the explanatory and predictive performance of standard models, and of providing a foundation for more reliable normative analyses of policy issues. Prerequisites: 204 and 271, or consent of instructor.
Terms: Spr | Units: 2-5

ECON 279: Behavioral and Experimental Economics II

This is part of a three course sequence (along with Econ 277 & 278) on behavioral and experimental economics. The sequence has two main objectives: 1) examines theories and evidence related to the psychology of economic decision making, 2) Introduces methods of experimental economics, and explores major subject areas (including those not falling within behavioral economics) that have been addressed through laboratory experiments. Focuses on series of experiments that build on one another in an effort to test between competing theoretical frameworks, with the objects of improving the explanatory and predictive performance of standard models, and of providing a foundation for more reliable normative analyses of policy issues. Prerequisites: 204 and 271, or consent of instructor.
Terms: Win | Units: 2-5

ECON 282: Contracts, Information, and Incentives

Basic theories and recent developments in mechanism design and the theory of contracts. Topics include: hidden characteristics and hidden action models with one and many agents, design of mechanisms and markets with limited communication, long-term relationships under commitment and under renegotiation, property rights and theories of the firm.
Terms: Win | Units: 2-5
Instructors: Segal, I. (PI)

ECON 285: Matching and Market Design

This is an introduction to market design, intended mainly for second year PhD students in economics (but also open to other graduates students from around the university and to undergrads who have taken undergrad market design). It will emphasize the combined use of economic theory, experiments and empirical analysis to analyze and engineer market rules and institutions. In this first quarter we will pay particular attention to matching markets, which are those in which price doesn¿t do all of the work, and which include some kind of application or selection process. In recent years market designers have participated in the design and implementation of a number of marketplaces, and the course will emphasize the relation between theory and practice, for example in the design of labor market clearinghouses for American doctors, and school choice programs in a growing number of American cities (including New York and Boston), and the allocation of organs for transplantation. Various forms of market failure will also be discussed.nnAssignment: One final paper. The objective of the final paper is to study an existing market or an environment with a potential role for a market, describe the relevant market design questions, and evaluate how the current market design works and/or propose improvements on the current design.
Terms: Aut | Units: 2-5

ECON 286: Game Theory and Economic Applications

Aims to provide a solid basis in game-theoretic tools and concepts, both for theorists and for students focusing in other fields. Technical material will include solution concepts and refinements, potential games, supermodular games, repeated games, reputation, and bargaining models. The class will also address some foundational issues, such as epistemic and evolutionary modeling.Prerequisite: 203 or consent of instructor.
Terms: Aut | Units: 2-5
Instructors: Carroll, G. (PI)

ECON 288: Computational Economics

Overview of numerical analysis. Computational approaches to solving economic problems, including dynamic programming, projection and perturbation. General equilibrium models, new Keynesian models, Krusell-Smith model, international trade models, and dynamic games. Numerical methods for large-scale applications(Smolyak, GSSA, EDS). Parallel computation, GPUs and supercomputers. Prerequisite: equivalent of first-year graduate core economics sequence.
Terms: Win | Units: 2-5
Instructors: Maliar, L. (PI)

ECON 289: Advanced Topics in Game Theory and Information Economics

Topics course covering a variety of game theory topics with emphasis on market design, such as matching theory and auction theory. Final paper required. Prerequisites: ECON 285 or equivalent. ECON 283 recommended.
Terms: Spr | Units: 2-5
Instructors: Kojima, F. (PI)

ECON 290: Multiperson Decision Theory

Students and faculty review and present recent research papers on basic theories and economic applications of decision theory, game theory and mechanism design. Applications include market design and analyses of incentives and strategic behavior in markets, and selected topics such as auctions, bargaining, contracting, and computation.
Terms: Spr | Units: 4
Instructors: Wilson, R. (PI)

ECON 291: Social and Economic Networks

Synthesis of research on social and economic networks by sociologists, economists, computer scientists, physicists, and mathematicians, with an emphasis on modeling. Includes methods for describing and measuring networks, empirical observations about network structure, models of random and strategic network formation, as well as analyses of contagion, diffusion, learning, peer influence, games played on networks, and networked markets.
Terms: Spr | Units: 2-5
Instructors: Jackson, M. (PI)

ECON 299: Practical Training

Students obtain employment in a relevant research or industrial activity to enhance their professional experience consistent with their degree programs. At the start of the quarter, students must submit a one page statement showing the relevance of the employment to the degree program along with an offer letter. At the end of the quarter, a three page final report must be supplied documenting work done and relevance to degree program. May be repeated for credit.
Terms: Aut, Win, Spr, Sum | Units: 1-10 | Repeatable for credit
Instructors: Abramitzky, R. (PI) ; Admati, A. (PI) ; Amador, M. (PI) ; Amemiya, T. (PI) ; Aoki, M. (PI) ; Arora, A. (PI) ; Arrow, K. (PI) ; Athey, S. (PI) ; Attanasio, O. (PI) ; Bagwell, K. (PI) ; Baron, D. (PI) ; Bekaert, G. (PI) ; Bernheim, B. (PI) ; Bettinger, E. (PI) ; Bhattacharya, J. (PI) ; Blimpo, M. (PI) ; Bloom, N. (PI) ; Boskin, M. (PI) ; Brady, D. (PI) ; Bresnahan, T. (PI) ; Bulow, J. (PI) ; Canellos, C. (PI) ; Carroll, G. (PI) ; Chandrasekhar, A. (PI) ; Chaudhary, L. (PI) ; Clerici-Arias, M. (PI) ; Cogan, J. (PI) ; Cojoc, D. (PI) ; David, P. (PI) ; DeGiorgi, G. (PI) ; Dickstein, M. (PI) ; Duffie, D. (PI) ; Dupas, P. (PI) ; Einav, L. (PI) ; Fafchamps, M. (PI) ; Falcon, W. (PI) ; Fitzgerald, D. (PI) ; Fitzpatrick, M. (PI) ; Fong, K. (PI) ; Fuchs, V. (PI) ; Garber, A. (PI) ; Gentzkow, M. (PI) ; Gould, A. (PI) ; Goulder, L. (PI) ; Greif, A. (PI) ; Haak, D. (PI) ; Haber, S. (PI) ; Hall, R. (PI) ; Hammond, P. (PI) ; Hansen, P. (PI) ; Hanson, W. (PI) ; Hanushek, E. (PI) ; Harding, M. (PI) ; Harris, D. (PI) ; Hartmann, W. (PI) ; Henry, P. (PI) ; Hickman, B. (PI) ; Hong, H. (PI) ; Hope, N. (PI) ; Horvath, M. (PI) ; Hoxby, C. (PI) ; Jackson, M. (PI) ; Jagolinzer, A. (PI) ; Jaimovich, N. (PI) ; Jayachandran, S. (PI) ; Jones, C. (PI) ; Jost, J. (PI) ; Judd, K. (PI) ; Kastl, J. (PI) ; Kessler, D. (PI) ; Klenow, P. (PI) ; Kochar, A. (PI) ; Kojima, F. (PI) ; Kolstad, C. (PI) ; Krueger, A. (PI) ; Kuran, T. (PI) ; Kurlat, P. (PI) ; Kurz, M. (PI) ; Lambert, N. (PI) ; Larsen, B. (PI) ; Lau, L. (PI) ; Lazear, E. (PI) ; Levin, J. (PI) ; MaCurdy, T. (PI) ; Mahajan, A. (PI) ; Malmendier, U. (PI) ; Manova, K. (PI) ; McClellan, M. (PI) ; McKeon, S. (PI) ; McKinnon, R. (PI) ; Meier, G. (PI) ; Milgrom, P. (PI) ; Miller, G. (PI) ; Moser, P. (PI) ; Naylor, R. (PI) ; Nechyba, T. (PI) ; Niederle, M. (PI) ; Noll, R. (PI) ; Owen, B. (PI) ; Oyer, P. (PI) ; Pencavel, J. (PI) ; Piazzesi, M. (PI) ; Pistaferri, L. (PI) ; Polinsky, A. (PI) ; Qian, Y. (PI) ; Rangel, A. (PI) ; Reiss, P. (PI) ; Richards, J. (PI) ; Roberts, J. (PI) ; Romano, J. (PI) ; Romer, P. (PI) ; Rosenberg, N. (PI) ; Rossi-Hansberg, E. (PI) ; Rosston, G. (PI) ; Roth, A. (PI) ; Rothwell, G. (PI) ; Royalty, A. (PI) ; Rozelle, S. (PI) ; Sargent, T. (PI) ; Schaffner, J. (PI) ; Scheuer, F. (PI) ; Schneider, M. (PI) ; Segal, I. (PI) ; Sharpe, W. (PI) ; Shotts, K. (PI) ; Shoven, J. (PI) ; Singleton, K. (PI) ; Skrzypacz, A. (PI) ; Sprenger, C. (PI) ; Staiger, R. (PI) ; Stanton, F. (PI) ; Sweeney, J. (PI) ; Taylor, J. (PI) ; Tendall, M. (PI) ; Tertilt, M. (PI) ; Topper, M. (PI) ; Vytlacil, E. (PI) ; Wacziarg, R. (PI) ; Weingast, B. (PI) ; Wilson, R. (PI) ; Wolak, F. (PI) ; Wolitzky, A. (PI) ; Wright, G. (PI) ; Wright, M. (PI) ; Yotopoulos, P. (PI)
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