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Jul 26, 2025
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ECON 5880 - Applied Econometrics
Modern techniques of empirical econometric modeling are introduced and applied topics of causal inference are discussed. Applied topics include regression discontinuity, instrumental variables, panel data models, difference-in-differences estimators, synthetic control methods, matching estimation, logit and probit models, and limited dependent variables models, among others. A research project component provides experience in causal inference and empirical social science research.
Requisites: ECON 5870
Credit Hours: 4
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I
Learning Outcomes:
- Students will be able to explain the assumptions, statistical properties, and estimation methods related to instrumental variables, regression discontinuity designs, and difference-in-differences estimators.
- Students will be able to explain the assumptions, statistical properties, and estimation methods related to logit, probit, and limited dependent variable models.
- Students will be able to explain the assumptions, statistical properties, and estimation methods related to matching estimators, synthetic control methods, or other similar estimators.
- Students will be able to perform causal inference using software and data with different structures and identification designs.
- Students will be able to formulate a well-organized economic argument, evaluate a hypothesis, and communicate results effectively in written or spoken form.
- Students will be able to include more advanced components such as a sensitivity analysis or robustness checks in their research.
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