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41 - 50 of 111 results for: ECON ; Currently searching offered courses. You can also include unoffered courses

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ECON 178: Behavioral Economics

The field of behavioral economics draws on insights from other disciplines, especially psychology, to enrich our understanding of economic behavior. In this course, we will discuss how psychological considerations can create behavioral patterns that diverge from the predictions of standard economic models, the implications of those behavioral patterns for market outcomes and public policies, and the ways in which economists incorporate those considerations into their theories. We will also examine how social motives (such as altruism or concerns about fairness, equity, status, or image) impact economic behavior. We will learn about classical findings and leading theories in behavioral economics. The treatment of psychological phenomena in this course involves tools similar to those employed in other economics courses. Prerequisites: ECON 50 and ECON 102A. Econ 51 and 102B are recommended.
Terms: Win | Units: 5 | UG Reqs: WAY-SI
Instructors: Clerici-Arias, M. (PI) ; Brown, M. (TA) ; Robertson, P. (TA)

ECON 184: Institutional Investment Management: Theory and Practice

This course provides an introduction to the theory and practice of institutional investment management, including asset allocation and manager selection across public and private equity, absolute return, real assets, and fixed income. The course is taught by the CIO of Stanford's endowment, along with other members of the investment team, and takes the perspective of an institution with a long-term investment horizon. We introduce and apply a framework for assessing investment strategies and investment firms. Students put theory into practice with guest speakers from leading investment firms, including partners at venture capital firms, real estate partnerships, and hedge funds. Enrollment is capped at 20. All majors are welcome. To apply please send a one to two paragraph statement of interest and an unofficial transcript to econ184@ smc.stanford.edu by December 3, 2023. Econ 1 and Econ 102A, Stats 60, or equivalent courses recommended and may be taken concurrently. Lunch will be provided for each Monday lecture.
Terms: Win | Units: 4
Instructors: Wallace, R. (PI)

ECON 185: Data Science for Environmental Business (PUBLPOL 185, SUSTAIN 135, SUSTAIN 235)

Are you interested in clean tech and sustainability? Do you like working with data or plan to manage data scientists? Do you want to find a socially impactful job? If so, Data Science for Environmental Business is for you. Each week, we'll have a guest speaker from a utility, venture capital firm, clean tech startup, renewable energy developer, or some other sustainability-related business. We'll do a quantitative case study of one of the speaker's business problems, such as carbon footprint measurement, supply chain decarbonization, techno-economic analysis, where to site renewable energy facilities, how to value electricity storage, or predicting demand for electric vehicles. Then in the next class, we'll discuss the analytical decisions you made on the case study and the business implications of your results. We aim to draw a mix of students from the GSB, engineering, sustainability, data science, computer science, economics, math, and other fields. Students registering through the more »
Are you interested in clean tech and sustainability? Do you like working with data or plan to manage data scientists? Do you want to find a socially impactful job? If so, Data Science for Environmental Business is for you. Each week, we'll have a guest speaker from a utility, venture capital firm, clean tech startup, renewable energy developer, or some other sustainability-related business. We'll do a quantitative case study of one of the speaker's business problems, such as carbon footprint measurement, supply chain decarbonization, techno-economic analysis, where to site renewable energy facilities, how to value electricity storage, or predicting demand for electric vehicles. Then in the next class, we'll discuss the analytical decisions you made on the case study and the business implications of your results. We aim to draw a mix of students from the GSB, engineering, sustainability, data science, computer science, economics, math, and other fields. Students registering through the GSB should expect a roughly standard MBA class workload. Students registering through non-GSB course numbers should expect a serious data science course where you'll learn and apply new methods. We hope to develop a pipeline of students working for the guest speakers and similar firms. Prerequisites: You must know basic statistics and regression analysis (e.g., ECON 102 or 108, CS 129, EARTHSYS 140, HUMBIO 88, POLISCI 150C, or STATS 60 or 101). You should also have at least some experience with data analysis in R, python, Stata, MATLAB, or something similar. If you plan to take microeconomics (e.g., ECON 1, 50, or 51) or empirical environmental economics ( ECON 177), we recommend you take those either beforehand or concurrently.
Terms: Spr | Units: 5
Instructors: Imbens, G. (PI) ; Allcott, H. (SI)

ECON 198: Junior Honors Seminar (PUBLPOL 197)

For juniors (advanced sophomores will be considered) who expect to write an honors thesis in Economics or Public Policy. Weekly sessions go through the process of selecting a research question, finding relevant bibliography, writing a literature review, introduction, and study design, culminating in the write-up of an honors thesis proposal (prospectus) and the oral presentation of each student's research project. Students also interact with potential advisors, and outline a program of study for their senior year. To apply, complete the application at https://economics.stanford.edu/undergraduate/forms.
Terms: Spr | Units: 5
Instructors: Clerici-Arias, M. (PI)

ECON 199D: Honors Thesis Research

In-depth study of an appropriate question and completion of a thesis of very high quality. Normally written under the direction of a member of the Department of Economics (or some closely related department). See description of honors program. Register for at least 1 unit for at least one quarter after your honors application is approved. Winter registration for one unit under the supervision of the Director of the Honors Program is mandatory for all honors students.
Terms: Aut, Win, Spr, Sum | Units: 1-10 | Repeatable for credit
Instructors: Abramitzky, R. (PI) ; Allcott, H. (PI) ; Athey, S. (PI) ; Auclert, A. (PI) ; Bagwell, K. (PI) ; Baker, L. (PI) ; Bernheim, B. (PI) ; Bhattacharya, J. (PI) ; Bloom, N. (PI) ; Bocola, L. (PI) ; Boskin, M. (PI) ; Bresnahan, T. (PI) ; Brynjolfsson, E. (PI) ; Bulow, J. (PI) ; Callander, S. (PI) ; Chandrasekhar, A. (PI) ; Clerici-Arias, M. (PI) ; Cochrane, J. (PI) ; Cuesta, J. (PI) ; Diamond, R. (PI) ; Duffie, D. (PI) ; Duggan, M. (PI) ; Einav, L. (PI) ; Fafchamps, M. (PI) ; Fearon, J. (PI) ; Fetter, D. (PI) ; Gentzkow, M. (PI) ; Goldin, J. (PI) ; Goulder, L. (PI) ; Greif, A. (PI) ; Haber, S. (PI) ; Hall, R. (PI) ; Harstad, B. (PI) ; Hong, H. (PI) ; Hoxby, C. (PI) ; Imbens, G. (PI) ; Jackson, M. (PI) ; Jagadeesan, R. (PI) ; Jha, S. (PI) ; Kehoe, P. (PI) ; Klenow, P. (PI) ; Kurz, M. (PI) ; Levin, J. (PI) ; Li, H. (PI) ; MaCurdy, T. (PI) ; Mahoney, N. (PI) ; Makler, C. (PI) ; McKeon, S. (PI) ; Milgrom, P. (PI) ; Miller, G. (PI) ; Morten, M. (PI) ; Naylor, R. (PI) ; Niederle, M. (PI) ; Noll, R. (PI) ; Owen, B. (PI) ; Persson, P. (PI) ; Piazzesi, M. (PI) ; Pistaferri, L. (PI) ; Reiss, P. (PI) ; Romano, J. (PI) ; Rossin-Slater, M. (PI) ; Rosston, G. (PI) ; Roth, A. (PI) ; Rozelle, S. (PI) ; Schneider, M. (PI) ; Segal, I. (PI) ; Shoven, J. (PI) ; Singleton, K. (PI) ; Skrzypacz, A. (PI) ; Sorkin, I. (PI) ; Spiess, J. (PI) ; Strebulaev, I. (PI) ; Sweeney, J. (PI) ; Taylor, J. (PI) ; Tendall, M. (PI) ; Voena, A. (PI) ; Wager, S. (PI) ; Wolak, F. (PI) ; Wolitzky, A. (PI) ; Wright, G. (PI) ; Ju, Z. (TA) ; Liu, L. (TA)

ECON 200: First-Year Seminar

Restricted to Economics PhD students in their first year. Must be taken in both Winter and Spring Quarters. Enrollment by permission number only.
Terms: Win, Spr | Units: 1 | Repeatable 2 times (up to 2 units total)
Instructors: Morten, M. (PI)

ECON 202: Microeconomics I

(Non-Economics graduate students register for 202N.) Open to advanced undergraduates with consent of instructors. Theory of the consumer and the implications of constrained maximization; uses of indirect utility and expenditure functions; theory of the producer, profit maximization, and cost minimization; monotone comparative statics; behavior under uncertainty; partial equilibrium analysis and introduction to models of general equilibrium. Limited enrollment. Prerequisite: thorough understanding of the elements of multivariate calculus and linear algebra.
Terms: Aut | Units: 2-5
Instructors: Jagadeesan, R. (PI) ; Segal, I. (PI) ; Tyger, E. (TA)

ECON 203: Microeconomics II

(Non-Economics graduate students register for 203N.) Non-cooperative game theory including normal and extensive forms, solution concepts, games with incomplete information, and repeated games. Externalities and public goods. The theory of imperfect competition: static Bertrand and Cournot competition, dynamic oligopoly, entry decisions, entry deterrence, strategic behavior to alter market conditions, bargaining theory. Enrollment is limited to Econ PhD students for the first two weeks of open enrollment, after which the remaining space will be available to all other interested students. Prerequisite: ECON 202.
Terms: Win | Units: 3-5
Instructors: Milgrom, P. (PI) ; Saitto, R. (TA)

ECON 204: Microeconomics III

Social Choice, including Arrow's theorem, the Gibbard-Satterthwaite theorem, and the Vickrey-Clarke-Groves mechanism. The theory of contracts, emphasizing contractual incompleteness and the problem of moral hazard. Incentive regulation. Competition with imperfect information, including signaling and adverse selection. Competitive equilibrium and the core. Limited enrollment. Non-Econ students need permission of instructor to enroll. Enrollment is limited to Econ PhD students for the first two weeks of open enrollment, after which the remaining space will be available to all other interested students. Prerequisite: ECON 202 and 203.
Terms: Spr | Units: 3-5
Instructors: Jagadeesan, R. (PI) ; Segal, I. (PI) ; Liu, B. (TA)

ECON 206: World Food Economy (EARTHSYS 106, EARTHSYS 206, ECON 106, ESS 106, ESS 206)

The World Food Economy is a survey course that covers the economic and political dimensions of food production, consumption, and trade. The course focuses on food markets and food policy within a global context. It is comprised of three major sections: structural features (agronomic, technological, and economic) that determine the nature of domestic food systems; the role of domestic food and agricultural policies in international markets; and the integrating forces of international research, trade, and food aid in the world food economy. This 5-unit course entails a substantial group modeling project that is required for all students. Enrollment is by application only. The application is found at https://economics.stanford.edu/undergraduate/forms. Applications will be reviewed on a first-come, first-serve basis, and priority will be given to upper-level undergraduates who need the course for their major, and to graduate students pursuing work directly related to the course. The application submission period will close on March 15
Terms: Spr | Units: 5
Instructors: Naylor, R. (PI) ; Varkey, K. (TA)
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