معرفی
Derya Uysal is an Associate Professor in the Department of Economics at the University of Munich, Germany, and an Affiliate at CESifo. Her research focuses on microeconometrics and applied econometrics in labor economics, emphasizing program evaluation and causal inference methodologies. She specializes in developing and applying statistical techniques to estimate treatment effects, particularly Local Average Treatment Effects (LATE) using approaches like Abadie's kappa and inverse probability weighting.
Her work addresses key issues such as peer effects in education, policy impacts on school retention, and multivalued treatment analysis. She has contributed to econometric software development, notably the kappalate Stata package for LATE estimation. Her research bridges theory and practice, offering tools for rigorous policy evaluation and causal analysis in diverse fields including education, health, and labor markets.
Uysal’s publications span top-tier journals and conference proceedings, focusing on causal inference, econometric modeling, and policy evaluation. Her methodologies have been applied to topics ranging from malaria control programs in Sub-Saharan Africa to black market dynamics in Belarus. Despite her extensive contributions, no specific awards or grants are explicitly mentioned in the provided texts.
