Panel Data/ Microeconometrics
This is an advanced econometric course on specification, estimation, and inference based on microeconometric data. The course covers regression analysis with panel data and other techniques useful for making causal inference with non-experimental data.
1. Ordinary least squares (OLS) estimation (W 4)
2. Basic Panel data models (W 10)
a. Pooled OLS/ Random effects
b. Fixed effects/ First-differencing
3. Difference in differences estimator (W 6.5 )
4. Dynamic panel data models (W 11.6)
5.Treatment effects estimation (W 21)
a. Selection on observables
b. Instrumental variable methods
c. Regression discontinuity designs
Learning outcome knowledge
After having completed this course, students should be able to critically discuss different estimation strategies in the context of models that include unobserved individual (firm, person, etc.) effects.They should be familiar with the potensial outcome framework and microeconomics methods useful for policy analysis using non-experimental data. Students should be able to implement these methods using statistical software (STATA).
- Home exam: 100%