ECON 220B
Statistics and Econometrics II
Begins by relaxing the ideal conditions of the standard regression model. Potential topics include kernel density estimation, instrumental variables (IV), two stage least squares (2SLS), panel data models, and simulation-based Bayesian methods, including Gibbs sampling, and the bootstrap.
Topics
- kernel density estimation
- instrumental variables (IV)
- two stage least squares (2SLS)
- panel data models
- and simulation-based Bayesian methods
- including Gibbs sampling
- and the bootstrap
Topics explicitly listed in official catalogue description
Prerequisites & course information
Begins by relaxing the ideal conditions of the standard regression model. Potential topics include kernel density estimation, instrumental variables (IV), two stage least squares (2SLS), panel data models, and simulation-based Bayesian methods, including Gibbs sampling, and the bootstrap.
Sources
- Course catalogue ↗2026-2027