The summer school will dive into key tools in econometrics and causal analysis, starting with modern methods of instrumental variable regression to tackle issues of endogeneity in economic data. We’ll cover difference-in-differences methods, including recent advancements that handle more complex treatment scenarios. Synthetic controls will be explored as a go-to approach for case study comparisons, ideal for evaluating policy impacts. Finally, sessions on machine learning in econometrics will offer practical ways to manage large datasets and improve predictive accuracy, blending traditional techniques with modern data insights

Topics covered

• Instrumental Variable Regressions
• Difference in Difference (DiD)
• Synthetic Control Method
• Machine Learning