Kaspar Wuthrich

Kaspar Wuthrich is an Associate Professor of Economics at the University of Michigan specializing in econometric theory. His research develops novel methods for quantile and IV estimation, causal inference with panel data, and machine learning applications in econometrics.

Research areas include:

• Quantile regression methods
• Instrumental variable techniques
• Causal panel data analysis
• Machine learning for prediction and inference
• Detection of publication bias

Wuthrich examines methodological challenges in econometric identification and develops approaches to address issues such as p-hacking and publication bias in empirical economics research.