Teaching

Teaching

Undergraduate

• Econometrics 101

• Microeconometrics

Graduate

• Foundations of Econometrics

Presentations:

• • An Introduction to Asymptotic Theory

  • M- and Z-Estimators

  • Least Squares

  • Maximum Likelihood

  • Generalized Method of Moments

• Bayesian Econometrics

Presentations:

• A Brief Summary of Theory

• Conceptual Differences Between the Frequentist and Bayesian Inferential Frameworks

• Corner Stone Models: Conjugate Families

• Simulation Methods

• Univariate Models

• Multivariate Models

• Time Series Models

• Panel/Hierarchical Models

• Bayesian Model Averaging

• Semi-parametric and Non-parametric Models

• Bayesian Machine Learning

• Causal Inference

• Approximate Bayesian Methods