Credits: 3 (3-0-0)
Prerequisites: For UG students: HUL315 / HUL215
Description
- Review of Classical Linear Regression Model: Gauss-Markov assumptions, finite sample properties, large sample properties.
- Instrumental Variable Estimation: Motivation for instrumentation, Simultaneity Bias, Endogeneity and Measurement Error; IV Estimation; 2SLS Estimation.
- Generalized Method of Moments: Single equation linear GMM.
- Systems of Equations: Seemingly unrelated Regressions (SUR) model; Simultaneous Equations Models: Identification.
- Panel Data models: Pooled Estimation; unobserved Heterogeneity: Fixed vs. Random Effects; ML vs. GMM estimation.
- Discrete Choice Models: Binary response models, Multinomial Response Models, ordered Response Models.
- Censored Regression Models: Estimation and Inference with Censored Tobit.
- Estimating Average Treatment Effects: Regression Methods, Methods Based on the Propensity Score, Estimating the ATE using IV.