Microeconometrics: Empirical Methods in Microeconomics
( 24 Modules )
Module #1 Introduction to Microeconometrics Overview of microeconometrics, importance of empirical methods in microeconomics, and course objectives
Module #2 Review of Microeconomic Theory Brief review of microeconomic theory, including consumer and producer behavior, market equilibrium, and welfare economics
Module #3 Introduction to Econometrics Introduction to econometrics, including types of data, statistical inference, and regression analysis
Module #4 Linear Regression Analysis Simple and multiple linear regression, estimation, and inference
Module #5 Hypothesis Testing and Confidence Intervals Hypothesis testing and confidence intervals in regression analysis
Module #6 OLS Assumptions and Violations OLS assumptions, consequences of violations, and remedies
Module #7 Instrumental Variables (IV) Estimation Introduction to IV estimation, including two-stage least squares and limited information maximum likelihood
Module #8 IV Estimation in Microeconometrics Applications of IV estimation in microeconometrics, including demand and supply models
Module #9 Difference-in-Differences (DiD) Estimation Introduction to DiD estimation, including parallel trends assumption and testing
Module #10 DiD Estimation in Microeconometrics Applications of DiD estimation in microeconometrics, including policy evaluation and program effects
Module #11 Regression Discontinuity Design (RDD) Introduction to RDD, including sharp and fuzzy RDD
Module #12 RDD in Microeconometrics Applications of RDD in microeconometrics, including policy evaluation and program effects
Module #13 Panel Data Analysis Introduction to panel data analysis, including fixed effects and random effects models
Module #14 Panel Data Analysis in Microeconometrics Applications of panel data analysis in microeconometrics, including firm and household behavior
Module #15 Discrete Choice Models Introduction to discrete choice models, including logit and probit models
Module #16 Discrete Choice Models in Microeconometrics Applications of discrete choice models in microeconometrics, including demand analysis and policy evaluation
Module #17 Duration and Event History Models Introduction to duration and event history models, including survival analysis and hazard models
Module #18 Duration and Event History Models in Microeconometrics Applications of duration and event history models in microeconometrics, including labor market and health economics
Module #19 Treatment Effects and Causal Inference Introduction to treatment effects and causal inference, including average treatment effects and propensity scores
Module #20 Causal Inference in Microeconometrics Applications of causal inference in microeconometrics, including policy evaluation and program effects
Module #21 Microeconometric Applications in Labor Economics Applications of microeconometric methods in labor economics, including wage equations and labor market outcomes
Module #22 Microeconometric Applications in Health Economics Applications of microeconometric methods in health economics, including health outcomes and healthcare demand
Module #23 Microeconometric Applications in Industrial Organization Applications of microeconometric methods in industrial organization, including firm behavior and market structure
Module #24 Course Wrap-Up & Conclusion Planning next steps in Microeconometrics: Empirical Methods in Microeconomics career
