ECO 464
Applied Econometrics I
This course focuses on the identification of causal relationships using cross-sectional and panel data. The objectives are to 1) familiarize students with identification assumptions for causal inference; and 2) enable students to select appropriate econometric tools for empirical economic problems and policy evaluation.Topics include robust inference and bootstrap; instrumental variables and generalized method of moments (GMM); quantile and nonparametric regression methods; treatment effect analysis, and models for discrete choices, panel data, and social interactions. Prerequisites: ECO 416
Topics
- robust inference and bootstrap
- instrumental variables and generalized method of moments (GMM)
- quantile and nonparametric regression methods
- treatment effect analysis
- and models for discrete choices
- panel data
- and social interactions
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗2026-2027