printer friendly pageMGTECON 300: Growth and Stabilization in the Global Economy
This course gives students the background they need to understand the broad movements in the global economy. Key topics include long-run economic growth, technological change, wage inequality, international trade, interest rates, inflation, exchange rates, and monetary policy. By the end of the course, students should be able to read and understand the discussions of economic issues in The Economist, the Wall Street Journal, the New York Times, or the Congressional Budget Office.
Terms: Spr
| Units: 3
Instructors:
Di Tella, S. (PI)
;
Jones, C. (PI)
;
Tonetti, C. (PI)
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Instructors:
Di Tella, S. (PI)
;
Jones, C. (PI)
;
Tonetti, C. (PI)
;
Di Tella, S. (SI)
;
Tonetti, C. (SI)
MGTECON 526: Inclusive Economic Growth and Poverty Reduction in Developing Countries
Poverty rates have fallen markedly in countries around the world, as more households have joined the lower middle-class. Indeed, though U.S. income inequality has increased, inequality has fallen around the world. However, by developed country standards, poverty remains pervasive. What has caused the decline in rates of poverty and can we expect further decreases or can we act to accelerate the improvements? One answer is that countries that have experienced inclusive growth, in which the growth of the economy (i.e., GDP) has elevated the incomes of the poor, have done better at creating jobs for the poor, especially in the private sector. Therefore, the class will consider the evidence on the factors that have contributed to inclusive economic growth in developing countries. A second answer as to why poverty has fallen, but remains at high levels, is that governments and aid agencies and foundations have targeted programs to the poor. This course discusses macroeconomic policy, target
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Poverty rates have fallen markedly in countries around the world, as more households have joined the lower middle-class. Indeed, though U.S. income inequality has increased, inequality has fallen around the world. However, by developed country standards, poverty remains pervasive. What has caused the decline in rates of poverty and can we expect further decreases or can we act to accelerate the improvements? One answer is that countries that have experienced inclusive growth, in which the growth of the economy (i.e., GDP) has elevated the incomes of the poor, have done better at creating jobs for the poor, especially in the private sector. Therefore, the class will consider the evidence on the factors that have contributed to inclusive economic growth in developing countries. A second answer as to why poverty has fallen, but remains at high levels, is that governments and aid agencies and foundations have targeted programs to the poor. This course discusses macroeconomic policy, targeted government policies, aid, and entrepreneurship in developing countries. Examples will be given from Latin America, South Asia, and Africa. The course is co-taught by a Stanford economist and a World Bank consultant and will build on examples from recent experiences. The class is aimed at GSB students who are either intellectually curious about the topic or anticipate doing business in developing countries.
Terms: Spr
| Units: 2
Instructors:
Shaw, K. (PI)
;
Prennushi, G. (SI)
MGTECON 533: Economics of Strategy and Organization
The goal of this class is to combine economic theory and business practice to develop insights for business strategy and organization design. We will discuss strategies and organizations of companies, identify potential problems and explore potential solutions. Some of the topics to be covered will be why many established companies find it hard to innovate (and what strategies can mitigate those problems), business-model innovation, and what economic and practical problems arise when companies need to stop projects. The course will be based on a mixture of formal and informal cases.
Terms: Spr
| Units: 2
Instructors:
Skrzypacz, A. (PI)
;
Aron-Gilat, A. (SI)
MGTECON 540: Data Science and Experimentation for Decision Making
In this course we will discuss statistical and econometric methods for assisting in decision making. We will discuss experimental designs, ranging from classical A/B tests to modern designs in use at leading tech companies. We will also discuss methods for observational studies, and how one can ensure that the results based on such studies lead to credible decision making. The methods will draw on the econometric literature as well as the modern machine learning literature. Students will be asked to analyze data and prepare reports and presentations based on them.
Terms: Spr
| Units: 2
Instructors:
Imbens, G. (PI)
MGTECON 602: Auctions, Bargaining, and Pricing
This course covers mostly auction theory, bargaining theory and related parts of the literature on pricing. Key classic papers covered in the course are Myerson and Satterthwaite on dynamic bargaining, Myerson on optimal auctions, and Milgrom and Weber's classic work, the Coase Conjecture results. We also cover a few more recent developments related to these topics, including dynamic signaling and screening. In some years we also cover topics in matching theory.
Terms: Spr
| Units: 4
Instructors:
Skrzypacz, A. (PI)
MGTECON 605: Econometric Methods III
This course completes the first-year sequence in econometrics. It covers conventional parametric methods that
MGTECON 604 did not have time to cover in any detail. This includes GMM, simulated GMM, nonlinear least squares problems generally, and an introduction to some machine learning methods such as neural nets. The course the covers numerical and optimization methods used to estimate these models, as well as simulation techniques. The latter half of the course focuses on semiparametric and nonparametric methods. Applications in different fields (e.g., finance, economics, marketing, accounting) are considered throughout.
Terms: Spr
| Units: 3
Instructors:
Reiss, P. (PI)
MGTECON 607: Methods for Applied Econometrics
The course provides an introduction to modern econometric methods for causal inference. We discuss classical randomized experiments as well as modern methods for experimentation. We als discuss observational methods for cross section settings, including matching, propensity score methods and doubly robust methods. We also cover methods for dealing with selection on unobservables, including regression discontinuity designs, instrumental variables. We also discuss methods for panel data settings including fixed effect methods, difference-in-differences and synthetic controls.
Terms: Spr
| Units: 4
Instructors:
Imbens, G. (PI)
MGTECON 608: 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, signaling, and computation.
Terms: Spr
| Units: 3
Instructors:
Wilson, R. (PI)
MGTECON 628: Reading Group in Industrial Organization
This course meets weekly on Fridays at Noon. The primary purpose of the course is to read and discuss current working papers in Industrial Organization and related fields (e.g., Econometrics, Marketing, and Labor). Students are required to present papers a couple of times per quarter and both students and faculty may also present their own working papers.
Terms: Aut, Win, Spr
| Units: 1
| Repeatable
12 times
(up to 12 units total)
Instructors:
Benkard, L. (PI)
MGTECON 634: 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 consis
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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: Prior coursework in empirical methods for causal inference in observational studies, including instrumental variables, fixed effects modeling, regression discontinuity designs, etc. Students should be comfortable reading and engaging with empirical research in economics or related fields.
Terms: Spr
| Units: 3
Instructors:
Athey, S. (PI)
;
Wager, S. (SI)
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