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1 - 10 of 52 results for: ECON

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ECON 1: Principles of Economics

This is an introductory course in economics. We will cover both microeconomics (investigating decisions by individuals and firms) and macroeconomics (examining the economy as a whole). The primary goal is to develop and then build on your understanding of the analytical tools and approaches used by economists. This will help you to interpret economic news and economic data at a much deeper level while also forming your own opinions on economic issues. The course will also provide a strong foundation for those of you who want to continue on with intermediate microeconomics and/or intermediate macroeconomics and possibly beyond.
Terms: Aut, Win, Spr, Sum | Units: 5 | UG Reqs: WAY-SI, GER:DB-SocSci

ECON 52: Economic Analysis III

Long-run economic growth and short-run economic fluctuations. Focus on the macroeconomic tools of government: fiscal policy (spending and taxes) and monetary policy, and their effects on growth, employment, and inflation. Prerequisites: ECON 50.
Terms: Win, Spr | Units: 5 | UG Reqs: WAY-SI

ECON 101: Economic Policy Seminar

Capstone and writing in the major course open to Econ majors only. Economic policy analysis, writing and oral presentations will be large components of this course. Students may also complete group projects that include empirical economic analysis focused on a specific topic. The goal of this course is to enable students to utilize the skills they have acquired throughout their time in the major. Section topics vary by instructor. Enrollment limited to application at the start of each school year with student placement notifications before the term starts. Permission numbers will be provided to students. Limited to students applying to graduate in 2023-24. Prerequisites: Econ 51 and 52, 102B, and two field courses. Enrollment by application: https://economics.stanford.edu/forms.
Terms: Aut, Win, Spr | Units: 5 | UG Reqs: WAY-SI | Repeatable for credit

ECON 102A: Introduction to Statistical Methods (Postcalculus) for Social Scientists

Probabilistic modeling and statistical techniques relevant for economics. Concepts include: probability trees, conditional probability, random variables, discrete and continuous distributions, correlation, central limit theorems, point estimation, hypothesis testing and confidence intervals for both one and two populations. Prerequisite: MATH 20 or equivalent.
Terms: Aut, Win | Units: 5 | UG Reqs: GER:DB-Math, WAY-AQR, WAY-SI

ECON 102B: Applied Econometrics

Hypothesis tests and confidence intervals for population variances, chi-squared goodness-of-fit tests, hypothesis tests for independence, simple linear regression model, testing regression parameters, prediction, multiple regression, omitted variable bias, multicollinearity, F-tests, regression with indicator random variables, simultaneous equation models and instrumental variables. Topics vary slightly depending on the quarter. Prerequisites: Econ 102A or equivalent. Recommended: computer experience (course often uses STATA software to run regressions).
Terms: Win, Spr | Units: 5 | UG Reqs: WAY-AQR, WAY-SI

ECON 102C: Advanced Topics in Econometrics

This is an advanced econometrics class targeted to students who want to go deeper into and/or expand their knowledge of topics firstly learned in Econ 102B (or equivalent class). Topics include: Instrumental variables estimation; Panel data models (fixed and random effect models, dynamic panel data models); Limited dependent variable models (probit, logit, Tobit) and selection models; models for Duration data; Bootstrap and Estimation by Simulation. Applications from Labor Economics and Public Finance will be used to motivate the discussion. Prerequisite: Econ 102B
Terms: Win | Units: 5 | UG Reqs: WAY-AQR, WAY-SI
Instructors: Pistaferri, L. (PI) ; Bonney, J. (TA)

ECON 105: Economic Forecasting

The objective of the course is to introduce you to time series analysis and forecasting methods. Students will master a mix of theoretical and applied econometrics techniques used in macroeconomic and financial applications. Topics to be covered potentially include but are not limited to: regression from a predictive viewpoint; forecasting trends and seasonality; exponential smoothing models; ARMA models; stochastic trends, unit roots, and cointegration; structural breaks; point, interval and density forecasts; forecast evaluation and combination; vector autoregression including impulse-response estimation and analysis; dynamic factor models; volatility forecasting using GARCH models; conditional forecasting models and scenario analysis. The course emphasizes hands-on experience, and all students will acquire knowledge of the programming language R in the context of time series models and forecasting. Prerequisites: ECON 102B. Students with a strong background in Statistics may reach out to the Economics Undergraduate office for permission to enroll.
Terms: Win | Units: 5
Instructors: Boul, R. (PI) ; Chittaro, L. (TA)

ECON 131: The Chinese Economy

This is a survey course of the Chinese economy with emphasis on understanding the process of economic reform, transition and development during the past 40 years. It will help students learn the different historical stages of institutional changes, develop an informed perspective on economic and political rationale and the effectiveness of the economic policies that have shaped China's economic emergence, and think critically about the process of economic and social changes. Prerequisite: Econ 1. Same as OSPBEIJ 30. Students may not earn credit for both OSPBEIJ 30 and ECON 131.
Terms: Win | Units: 5 | UG Reqs: WAY-SI
Instructors: Li, H. (PI) ; Rozelle, S. (PI) ; Mo, M. (TA) ; Sperla, E. (TA)

ECON 139D: Directed Reading

May be repeated for credit.
Terms: Aut, Win, Spr | Units: 1-10 | Repeatable for credit
Instructors: Abramitzky, R. (PI) ; Allcott, H. (PI) ; Amemiya, T. (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) ; Dupas, P. (PI) ; Einav, L. (PI) ; Fafchamps, M. (PI) ; Fearon, J. (PI) ; Gentzkow, M. (PI) ; Goldin, J. (PI) ; Goulder, L. (PI) ; Greif, A. (PI) ; Haber, S. (PI) ; Hall, R. (PI) ; Hammond, P. (PI) ; Harris, D. (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) ; Krueger, A. (PI) ; Kurz, M. (PI) ; Lau, L. (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) ; Ober, J. (PI) ; Pencavel, J. (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) ; Sargent, T. (PI) ; Schneider, M. (PI) ; Segal, I. (PI) ; Shoven, J. (PI) ; Singleton, K. (PI) ; Skrzypacz, A. (PI) ; Sorkin, I. (PI) ; Spiess, J. (PI) ; Starrett, D. (PI) ; Taylor, J. (PI) ; Tendall, M. (PI) ; Voena, A. (PI) ; Wolak, F. (PI) ; Wright, G. (PI)

ECON 141: Financial Markets

This class provides an introduction to financial markets. We cover major financial instruments -- bonds, bank loans, equity and derivatives -- and how their prices are determined. What are the key financial institutions that lend, provide liquidity and make markets. What role does the government play through regulation, monetary policy, bailouts and other interventions during financial crises. First we teach basic principles of modern finance. Then we focus on recent developments (digital currencies provided by central banks or the private sector, climate finance.) An important component of the course are online games that we play to mimic what we see in financial markets. These games highlight the importance of heterogeneous investor beliefs, risk exposures, and market frictions for asset trading and valuation.
Terms: Win | Units: 5
Instructors: Piazzesi, M. (PI) ; Schneider, M. (PI) ; Schneider, M. (SI) ; Sena, M. (TA)
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