The course provides a comprehensive understanding of modern econometric methods in empirical economic research and other social science disciplines, such as sociology and political science. Students will be equipped with a solid econometric background to plan and execute independent research projects. The topics of the course include statistical inference; regression; ordinary and generalized least squares; cross-sectional, time series and panel data analyses, instrumental variables methods and synthetic control method.
The course includes research seminars in selected topics, such as economic growth income inequality, racial and gender disparities in economics and politics, or labour market and educational segmentation, and evaluation of government policies and programs, among other applied econometric topics.
As of the assignments, students will provide an empirical analysis on a selected topic using either Stata or R, and there is an exam at the end of the term.
This course emphasizes the theoretical aspects of statistical analysis to be applied to research questions. The goal is to walk students through the necessary econometric background to independently design and apply econometric models suitable to socio-economic questions. Students will develop technical and computational skills to implement econometric methods and to critique and improve existing empirical studies in social sciences. Ultimately, the course encourages independent and critical thinking in the use of econometric and statistical methods. |
