This course covers estimation, inference, and identification of linear regression models. It focuses on applying econometric techniques to real-world problems and interpreting estimation results. The first part of the course includes a review of statistics and an introduction to large sample theory. The second part of the course focuses on issues in linear regression, including model error specification, measurement error, and endogenous regressors. Topics typically include instrumental variable regression and panel data. The course will include the use of STATA, a standard software for econometric and statistical analysis.

Two Learning Outcomes

1. Intuitively explain econometric concepts and results

2. Proficiency in using STATA for econometrics and statistical analysis

3. Use statistical and econometric tools for independent data analysis and inquiry

4. Explain the results and shortcomings of the analysis.

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