Course overview
The course reviews the multiple linear regression and introduces advanced topics in econometrics such as pooling cross sections across time, advanced panel data, instrumental variables, limited dependent variable models and sample selection correction, and advanced time series topics. The focus is on understanding the methods involved, using statistical software (STATA or R or Matlab) to provide the results and then interpreting and commenting on these results. Particular attention is paid to the econometric theory, to the application of econometrics to real-world problems, and to the interpretation of the estimation results.
Course learning outcomes
- Demonstrate an in-depth knowledge of regression analysis
- Explain advanced econometric concepts including panel data methods, IV regressions, limited dependent variable models and advanced topics in times series
- Proficiently use statistical software (usually STATA, Matlab, or R) for econometric and statistical analysis
- Conduct independent data analysis and inquiry using advanced econometric methods
- Interpret results and shortcomings of the analysis.