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Department of Economics |
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TEACHING |
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Graduate:
Empirical Industrial Organization Syllabus for previous years: Spring 2013, Spring 2015, Spring 2017, Spring 2019, Spring 2021 Undergraduate: NEW CLASS FOR FALL 2023 Introduction to Economic Research (Please
click on the link for more information on this class) This class requires a separate application,
usually with a May deadline for a Fall class. Application
form for Fall 2023 Applied Econometrics - Econ 4395 (Also in Fall 2015, Fall 2016, Fall 2017, Spring 2018, Fall 2018, Fall 2019, Spring 2020, Spring 2021, Spring 2022) All class materials are in Blackboard. Econ 4395 is a
continuation of Econ 3370 (previously Econ 4365) and introduces students to
several extensions of multiple regression methods for analyzing data in
economics and related disciplines. Topics include regression with panel data,
instrumental variables regression, and the analysis of randomized
experiments. The objective of the course is for the student to learn how to
conduct – and how to critique – empirical studies in economics and related
fields. Accordingly, the emphasis of the course is on empirical applications.
The mathematics of econometrics will be introduced only as needed and will
not be a central focus. The class includes
three replication projects where students will study three research papers in
depth and replicate their empirical results with the provided data. These
projects include papers from the field of economic history / economic growth,
online markets / industrial organization, and development economics. Target audience: Students who have taken an introductory course in probability and statistics (Econ 2370) and Introduction to Econometrics (Econ 3370). Students are also expected to know how to run OLS regressions in STATA. Students who would like to apply to graduate school are highly encouraged to enroll, since this class provides an introduction to academic research in economics.
Industrial Organization and Antitrust Policy - Econ 4376. (Also in Fall 2013, Spring 2014, Fall 2016, Fall 2017, Spring 2019, Fall 2019, Spring 2022) All class materials are in Blackboard. This course will cover the basic tools and issues in the field of industrial organization. While the standard competitive model is an extremely powerful tool, it often fails to characterize much of what is observed in many markets. Industrial organization studies the interaction of firms and consumers in real world markets that fall outside of the standard competitive model. Prominent topics will include oligopoly, cartel behavior, anti-competitive practices, anti-trust and regulation. This course will strongly emphasize real world case studies, but we will develop theoretic models that will help us analyze the behavior we see in the case studies. In addition, the secondary goal of this class is to introduce you to academic research. You will learn how to use library resources, statistical software for data analysis and write effective summaries of case studies. Target audience: Students who have taken an introductory course in probability and statistics such as Econ 2370 and have taken Intermediate Microeconomics, ECON 3332. These prerequisites will be strictly enforced. You will need to be familiar with economic models of perfect competition and monopoly, and the basic concepts of statistics, such as mean, variance, covariance, correlation, confidence intervals, etc. You will find this class extremely more rewarding if you took an introductory econometrics class, such as ECON 3370. This class will not provide any practical advice on starting or running your own business. Intermediate Microeconomics, Econ 332 (Fall 2014, Spring 2016) Introduction to Econometrics, Econ 4365 (Fall 2010, Fall 2011, Spring 2013)
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