The course focuses on the analysis of cross-sectional economic data with particular emphasis on binary and categorical outcomes, survey-based primary data, and simple experimental designs. It aims to provide undergraduate students with a practical and intuitive understanding of how economists model and interpret qualitative outcomes using cross-sectional econometric methods. By the end of the course, students will be able to understand the logic of survey and experimental data, code and interpret binary variables, estimate and interpret Linear Probability, Logit, and Probit models, and apply basic discrete choice methods using STATA. The course emphasizes interpretation, causal reasoning, and applied skills rather than mathematical derivations.
- Enseignant: Mehrshad Radmehr