RESEARCH / APPLIED ECONOMICS

Research

My work combines causal forests, survival analysis, and panel-data econometrics to study employment, mental health, and robust statistical inference.

Selected research projects, 2024–2025.

Selected research projects

Job loss and mental health

Aug 2025 · Used German SOEP data (2002–2024), panel fixed effects, and causal forests to estimate heterogeneous effects of job loss on mental health across age, income, and education.

Reemployment after injury-induced unemployment

May 2025 · Analyzed return-to-work outcomes using employment records, logistic models, and survival analysis; implemented Weibull and Prentice–Gloeckler models with GAUSS and Python.

Cluster-robust inference for unbalanced panels

Oct 2024 · Developed a weighted estimator with asymptotic guarantees for extremely unbalanced panel data and assessed finite-sample performance through MATLAB Monte Carlo simulations.

Conferences & Seminars

ACADEMIC ENGAGEMENT

Selected events

New York Camp Econometrics XVIII (Lake Placid, 2024); Workshop of Social Media and Economics (Cologne, 2018); East Asia Economics Forum (Nishinomiya, 2017–18).