AEM 6120

AEM 6120

Course information provided by the Courses of Study 2024-2025.

The objective is to provide students with a set of theoretical, econometric, and practical skills to test predictions from economic theory in data and to estimate the causal impacts of a policy or program. Modules 1-5 of the course will cover underlying tools and concepts, including mathematical statistics, linear models for cross-sectional and panel data, non-linear models, and hypothesis testing. In modules 6-7 we cover topics related to causal inference, instrumental variables, coefficient stability, and difference-in-difference estimators. Throughout the course, students will be evaluated on both theoretical and empirical applications.

When Offered Fall.

Permission Note Intended for: masters students.
Prerequisites/Corequisites Prerequisite: AEM 2100, MATH 1110 or equivalent.
Forbidden Overlaps Forbidden Overlap: due to an overlap in content, students will receive credit for only one course in the following group: AEM 4110, AEM 6120, PUBPOL 3100.

Outcomes
  • Estimate a variety of linear and non-linear models of microeconomic data.
  • Explain how departures from the classical model have implications for the estimated coefficients and variance-covariance matrix in a linear model.
  • Derive maximum likelihood estimators.
  • Test simple and composite hypotheses.
  • Understand and apply difference-in-differences estimators for causal inference.
  • Replicate the findings of a published paper using existing data.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits Stdnt Opt

  •  8537 AEM 6120   LEC 001

    • TR Warren Hall 101
    • Aug 26 - Dec 9, 2024
    • Dillon, B

  • Instruction Mode: In Person
    Enrollment preference given to: students in MS-AEM program. Other graduate/professional students should put their name on the waitlist.

  • 19609 AEM 6120   DIS 201

    • F Warren Hall 101
    • Aug 26 - Dec 9, 2024
    • Dillon, B

  • Instruction Mode: In Person