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Apprentice Mode
10 Modules / ~100 pages
Wizard Mode
~25 Modules / ~400 pages

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


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