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
This is an excerpt from the complete course description for the course. If you are an active student at BI, you can find the complete course descriptions with information on eg. learning goals, learning process, curriculum and exam at portal.bi.no. We reserve the right to make changes to this description.