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141 - 150 of 158 results for: ECON

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ECON 294: Continuous-time Methods in Economics and Finance

Continuous-time methods can, in many cases, lead to more powerful models to understand economic phenomena. The Black-Scholes option-pricing formula is significantly more tractable than discrete- time methods of option pricing based on binomial trees. There is an established tradition in continuous-time asset pricing, and there is increasing use of these methods in other fields, such as game theory, contract theory, market microstructure and macroeconomics. The goal of this class is to explore some of the old classic research as well as new economic models, and to discover areas of economics where continuous-time methods can help. The intention is to give graduate students a tool, which they can use to gain comparative advantage in their research, when they see appropriate. With this goal in mind, 25% of the class will focus on mathematics, but with economically relevant examples to illustrate the mathematical results. Up to one half of the class will cover established models, and the r more »
Continuous-time methods can, in many cases, lead to more powerful models to understand economic phenomena. The Black-Scholes option-pricing formula is significantly more tractable than discrete- time methods of option pricing based on binomial trees. There is an established tradition in continuous-time asset pricing, and there is increasing use of these methods in other fields, such as game theory, contract theory, market microstructure and macroeconomics. The goal of this class is to explore some of the old classic research as well as new economic models, and to discover areas of economics where continuous-time methods can help. The intention is to give graduate students a tool, which they can use to gain comparative advantage in their research, when they see appropriate. With this goal in mind, 25% of the class will focus on mathematics, but with economically relevant examples to illustrate the mathematical results. Up to one half of the class will cover established models, and the rest will focus on new papers. If students have their own work that uses continuous time, we can take a look at that as well. Coursework will include biweekly problem sets and a take-home final exam. There will also be room for short student presentations (related to homework assignments, economic papers, or definitions and results related to specific math concepts).
Terms: Win | Units: 3
Instructors: Sannikov, Y. (PI)

ECON 295: The AI Awakening: Implications for the Economy and Society

This course will explore how the advances in AI can and will transform our economy and society in the coming years. Each week, we will learn from a guest speaker at the frontier of AI, economics, government or industry, read the relevant research, and discuss the implications. Primarily for graduate students in economics, business or computer science. Enrollment by application, opening in February 2024: https://digitaleconomy.stanford.edu/about/the-ai-awakening-implications-for-the-economy-and-society/
Terms: Spr | Units: 3
Instructors: Brynjolfsson, E. (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. Submit this documentation to the Econ professor, who has agreed to the student enrolling in their Econ 299 section. 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) ; Akbarpour, M. (PI) ; Allcott, H. (PI) ; Amemiya, T. (PI) ; Arora, A. (PI) ; Athey, S. (PI) ; Attanasio, O. (PI) ; Auclert, A. (PI) ; Bagwell, K. (PI) ; Baker, L. (PI) ; Baron, D. (PI) ; Bekaert, G. (PI) ; Bernheim, B. (PI) ; Bettinger, E. (PI) ; Bhattacharya, J. (PI) ; Bloom, N. (PI) ; Bocola, L. (PI) ; Boskin, M. (PI) ; Brady, D. (PI) ; Bresnahan, T. (PI) ; Brynjolfsson, E. (PI) ; Bulow, J. (PI) ; Callander, S. (PI) ; Canellos, C. (PI) ; Carroll, G. (PI) ; Chandrasekhar, A. (PI) ; Chaudhary, L. (PI) ; Clerici-Arias, M. (PI) ; Cogan, J. (PI) ; Cuesta, J. (PI) ; Diamond, R. (PI) ; Duffie, D. (PI) ; Duggan, M. (PI) ; Dupas, P. (PI) ; Einav, L. (PI) ; Fafchamps, M. (PI) ; Fearon, J. (PI) ; Fetter, D. (PI) ; Fitzpatrick, M. (PI) ; Garber, A. (PI) ; Gentzkow, M. (PI) ; Goldin, J. (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) ; Hanson, W. (PI) ; Hanushek, E. (PI) ; Harris, D. (PI) ; Harstad, B. (PI) ; Hartmann, W. (PI) ; Henry, P. (PI) ; Hong, H. (PI) ; Hope, N. (PI) ; Horvath, M. (PI) ; Hoxby, C. (PI) ; Imbens, G. (PI) ; Jackson, M. (PI) ; Jagadeesan, R. (PI) ; Jagolinzer, A. (PI) ; Jha, S. (PI) ; Jones, C. (PI) ; Jost, J. (PI) ; Judd, K. (PI) ; Kehoe, P. (PI) ; Kessler, D. (PI) ; Klenow, P. (PI) ; Kochar, A. (PI) ; Kojima, F. (PI) ; Krueger, A. (PI) ; Kuran, T. (PI) ; Kurlat, P. (PI) ; Kurz, M. (PI) ; Larsen, B. (PI) ; Lau, L. (PI) ; Levin, J. (PI) ; Li, H. (PI) ; MaCurdy, T. (PI) ; Mahoney, N. (PI) ; Makler, C. (PI) ; Malmendier, U. (PI) ; McClellan, M. (PI) ; McKeon, S. (PI) ; Milgrom, P. (PI) ; Miller, G. (PI) ; Morten, M. (PI) ; Naylor, R. (PI) ; Nechyba, T. (PI) ; Niederle, M. (PI) ; Noll, R. (PI) ; Owen, B. (PI) ; Pencavel, J. (PI) ; Persson, P. (PI) ; Piazzesi, M. (PI) ; Pistaferri, L. (PI) ; Polinsky, A. (PI) ; Qian, Y. (PI) ; Reiss, P. (PI) ; Richards, J. (PI) ; Roberts, J. (PI) ; Romano, J. (PI) ; Romer, P. (PI) ; Rossi-Hansberg, E. (PI) ; Rossin-Slater, M. (PI) ; Rosston, G. (PI) ; Roth, A. (PI) ; Royalty, A. (PI) ; Rozelle, S. (PI) ; Sargent, T. (PI) ; Schaffner, J. (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) ; Spiess, J. (PI) ; Sweeney, J. (PI) ; Taylor, J. (PI) ; Tendall, M. (PI) ; Topper, M. (PI) ; Voena, A. (PI) ; Vytlacil, E. (PI) ; Wacziarg, R. (PI) ; Weingast, B. (PI) ; Williams, H. (PI) ; Wilson, R. (PI) ; Wolak, F. (PI) ; Wolitzky, A. (PI) ; Wright, G. (PI) ; Wright, M. (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: 3-10 | Repeatable for credit
Instructors: Jagadeesan, R. (PI) ; Voena, A. (PI)

ECON 310: Macroeconomic Seminar

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

ECON 315: Development Seminar

Information and meeting times are available on the Department of Economics Website: https://economics.stanford.edu/seminars-events/list-seminars
Terms: Aut, Win, Spr | Units: 1-10 | Repeatable for credit
Instructors: Chandrasekhar, A. (PI) ; Dupas, P. (PI) ; Morten, M. (PI) ; Voena, A. (PI)

ECON 325: Economic History Seminar

May be repeated for credit. Information and meeting times are available on the Department of Economics Website: https://economics.stanford.edu/seminars-events/list-seminars
Terms: Aut, Win, Spr | Units: 1-10 | Repeatable for credit
Instructors: Abramitzky, R. (PI) ; Fetter, D. (PI)

ECON 335: Experimental/Behavioral Seminar

Field seminar in experimental and behavioral economics.
Terms: Aut, Win, Spr | Units: 1-10 | Repeatable for credit
Instructors: Bernheim, B. (PI) ; Niederle, M. (PI) ; Roth, A. (PI)

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
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