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1 - 10 of 12 results for: MGTECON ; Currently searching spring courses. You can expand your search to include all quarters

MGTECON 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

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

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

MGTECON 605: Econometric Methods III

This course completes the first-year sequence in econometrics. It develops nonparametric, semiparametric and nonlinear parametric models in detail, as well as optimization methods used to estimate nonlinear models. The instructor will discuss identification issues, the statistical properties of these estimators, and how they are used in practice. Depending on student and instructor interest, we will consider advanced topics and applications, including: machine learning, simulation methods and Bayesian estimators.
Terms: Spr | Units: 3
Instructors: Reiss, P. (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 Tuesdays 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 more »
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

MGTECON 691: PhD Directed Reading (ACCT 691, FINANCE 691, GSBGEN 691, HRMGT 691, MKTG 691, OB 691, OIT 691, POLECON 691, STRAMGT 691)

This course is offered for students requiring specialized training in an area not covered by existing courses. To register, a student must obtain permission from the faculty member who is willing to supervise the reading.
Terms: Aut, Win, Spr | Units: 1-15 | Repeatable for credit

MGTECON 692: PhD Dissertation Research (ACCT 692, FINANCE 692, GSBGEN 692, HRMGT 692, MKTG 692, OB 692, OIT 692, POLECON 692, STRAMGT 692)

This course is elected as soon as a student is ready to begin research for the dissertation, usually shortly after admission to candidacy. To register, a student must obtain permission from the faculty member who is willing to supervise the research.
Terms: Aut, Win, Spr | Units: 1-15 | Repeatable for credit

MGTECON 698: Doctoral Practicum in Teaching

Doctoral Practicum in Teaching
Terms: Aut, Win, Spr, Sum | Units: 1 | Repeatable 50 times (up to 50 units total)
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