Kevin Kloiber

Welcome!

I am a Ph.D. candidate at the Munich Graduate School of Economics as a member of the Egon Sohmen Graduate Center. I study how frictions and shocks in health and labor markets shape behavior and inequality. 

My job market paper examines how the clarity of hospital discharge instructions affects 28-day mortality using EHR data, readability metrics, and LLM-based text extraction. The effects concentrate in high self-care burden conditions and are specific to mortality. 

Other work studies the long-run impacts of growing up with a disabled sibling and household labor-supply elasticities following the 2015 Swiss-franc shock; I also develop tests for identification in mediation and dynamic treatment settings. 

Methodologically, I use machine learning for causal inference and text analysis.

Before the Ph.D., I worked as a pre-doctoral research assistant at Stanford University with David Chan on healthcare projects.

Contact: kevin [dot] kloiber [at} econ [dot] lmu [dot] de