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131 - 140 of 147 results for: ECON

ECON 293: Machine Learning and Causal Inference

This course will cover statistical methods based on the machine learning literature that can be used for causal inference. In economics and the social sciences more broadly, empirical analyses typically estimate the effects of counterfactual policies, such as the effect of implementing a government policy, changing a price, showing advertisements, or introducing new products. This course will review when and how machine learning methods can be used for causal inference, and it will also review recent modifications and extensions to standard methods to adapt them to causal inference and provide statistical theory for hypothesis testing. We consider causal inference methods based on randomized experiments as well as observational studies, including methods such as instrumental variables and those based on longitudinal data. We consider the estimation of average treatment effects as well as personalized policies. Lectures will focus on theoretical developments, while classwork will consist primarily of empirical applications of the methods. Prerequisites: graduate level coursework in at least one of statistics, econometrics, or machine learning. Students without prior exposure to causal inference will need to do additional background reading in the early weeks of the course.
Terms: Spr | Units: 3

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) ; Athey, S. (PI) ; Attanasio, O. (PI) ; Auclert, A. (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) ; Chetty, R. (PI) ; Clerici-Arias, M. (PI) ; Cogan, J. (PI) ; Cojoc, D. (PI) ; David, P. (PI) ; DeGiorgi, G. (PI) ; Dickstein, M. (PI) ; Donaldson, D. (PI) ; Duffie, D. (PI) ; Duggan, M. (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) ; Hamilton, J. (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) ; Imbens, G. (PI) ; Jackson, M. (PI) ; Jagolinzer, A. (PI) ; Jaimovich, N. (PI) ; Jarosch, G. (PI) ; Jayachandran, S. (PI) ; Jones, C. (PI) ; Jost, J. (PI) ; Judd, K. (PI) ; Kastl, J. (PI) ; Kehoe, P. (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) ; Morten, M. (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) ; Persson, P. (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) ; Sorkin, I. (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)

ECON 300: Third-Year Seminar

Restricted to Economics Ph.D. students. Students present current research. May be repeated for credit.
Terms: Aut, Spr | Units: 1-10 | Repeatable for credit

ECON 310: Macroeconomic Workshop

Terms: Aut, Win, Spr | Units: 1-10 | Repeatable for credit

ECON 315: Development Workshop

Terms: Aut, Win, Spr | Units: 1-10 | Repeatable for credit

ECON 325: Economic History Workshop

May be repeated for credit.
Terms: Aut, Win, Spr | Units: 1-10 | Repeatable for credit

ECON 335: Experimental/Behavioral Seminar

Field seminar in experimental and behavioral economics.
Terms: Aut, Win, Spr | Units: 1-10 | Repeatable for credit

ECON 341: Public Economics and Environmental Economics Seminar

Issues in measuring and evaluating the economic performance of government tax, expenditure, debt, and regulatory policies; their effects on levels and distribution of income, wealth, and environmental quality; alternative policies and methods of evaluation. Workshop format combines student research, faculty presentations, and guest speakers. Prerequisite: ECON 241 or consent of instructor.
Terms: Aut, Win, Spr | Units: 1-10 | Repeatable for credit

ECON 345: Labor Economics Seminar

Terms: Aut, Win, Spr | Units: 1-10 | Repeatable for credit

ECON 354: Law and Economics Seminar

This seminar will examine current research by lawyers and economists on a variety of topics in law and economics. Several sessions of the seminar will consist of an invited speaker, usually from another university, who will discuss his or her current research. Representative of these sessions have been discussions of compensation for government regulations and takings, liability rules for controlling accidents, the definition of markets in antitrust analysis, the role of the government as a controlling shareholder, and optimal drug patent length. Contact the instructor listed for the class to request permission to enroll. Cross-listed with the Law School ( Law 7506 and Law 7507).
Terms: Win | Units: 2-3
Instructors: Polinsky, A. (PI)
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