Applied Econometrics and Policy Analysis: Data-Driven Decisions Event, 25.Aug.2025

Course Description

This intensive 5-day course equips participants with advanced econometric techniques for policy analysis and evaluation. Participants will learn to apply rigorous quantitative methods to assess policy impacts, analyze interventions, and make data-driven recommendations. The course combines theoretical foundations with hands-on practice using real-world policy examples.

Learning Objectives

• Master key econometric methods for causal inference and policy evaluation
• Develop skills to design and conduct rigorous impact assessments
• Learn to interpret and critically evaluate empirical policy research
• Gain proficiency in using statistical software for applied policy analysis
• Understand how to translate econometric findings into actionable policy insights

Course Modules

Day 1: Foundations of Econometrics for Policy Analysis

• Introduction to causal inference in policy contexts
• Review of regression analysis and hypothesis testing
• Endogeneity and omitted variable bias
• Instrumental variables estimation

Day 2: Quasi-Experimental Methods

• Difference-in-differences estimation
• Regression discontinuity designs
• Matching and propensity score methods
• Synthetic control methods

Day 3: Panel Data and Fixed Effects Models

• Introduction to panel data analysis
• Fixed effects and random effects models
• Dynamic panel models
• Clustered and robust standard errors

Day 4: Advanced Topics in Policy Evaluation

• Randomized controlled trials in policy settings
• Heterogeneous treatment effects
• Machine learning methods for policy analysis
• Bayesian approaches to causal inference

Day 5: Synthesizing Evidence for Policy Recommendations

• Meta-analysis and systematic reviews
• Cost-benefit and cost-effectiveness analysis
• Communicating econometric results to policymakers
• Ethics in policy evaluation research

Practical Wins for Participants

• Ability to design and implement rigorous policy evaluations
• Proficiency in using statistical software for applied econometrics
• Skills to critically assess and synthesize empirical policy research
• Capacity to translate complex econometric findings into clear policy recommendations