Recent Developments in Econometrics/Quantitative Methods - Einzelansicht

Angrist, J. & Pischke, J.-S. (2014): Mastering ’Metrics: The Path from Cause to Effect. Princeton University Press
Cunningham, S. (2021): Causal Inference: The Mixtape. Yale University Press
Abadie, A. & Cattaneo, M. D. (2018): Econometric Methods for Program Evaluation. Annual Review of Economics
Athey, S. & Imbens, G. W. (2017): The State of Applied Econometrics: Causality and Policy Evaluation. Journal of Economic Perspectives

Further literature will be provided in the course.

The course builds upon the knowledge obtained in "Advanced Microeconometrics" and/or "Policy evaluation I+II", but can also be completed without this prior knowledge.

Portfolio examination: 20-minute presentation [25%] with a written paper [75%]

In this course, we review and apply recent advances in econometric methods for policy evaluation and causal analysis.

Outline:

1. Recap causal analysis

• Review of basic concepts of causal inference
• The potential outcomes framework
• Traditional difference-in-differences (DiD)

2. Advanced DiD and TWFE

• Introduction to staggered treatment adoption
• Two-way-fixed-effects (TWFE) models and their limitations
• Recent advances in staggered DiD models
• Fuzzy DiD

3. Estimating the counterfactual

• Intro to Synthetic Control Methods (SCM)
• Constructing synthetic control units
• Intro to matching approaches
• Comparing SCM and matching

4. Instrumental variables and regression discontinuity

• Recent advances in IV estimation
• Recent advances in RDD

5. Machine learning for causal analysis

• tbd