Job Market Paper
New draft available soon!
Combining newly collected relocation data with administrative employer–employee records, I estimate the consequences of public-job relocations for both the places gaining and losing employment. I then develop a quantitative spatial model in which public and private employment generate different productivity spillovers, linking the reduced-form evidence to the spatial mechanism.
Book chapter · Forthcoming
Brings together international evidence on purpose-built and relocated capitals and public-agency decentralization programs. The chapter asks when public-employment relocation can generate local spillovers and whether those gains come at the expense of the regions that lose government jobs.
Work in progress
We combine matched employer–employee data with an original postcode-level zoning dataset covering all of Germany and discipline a spatial general-equilibrium model. The project quantifies how allocating land between residential and commercial uses affects housing affordability, firm agglomeration, productivity, distributional outcomes, and welfare.
Policy paper
We exploit Germany’s temporary 2022 fuel-tax reduction and comparable reforms in other European countries to estimate pass-through using dynamic difference-in-differences. The analysis shows how quickly and how fully temporary tax relief reaches consumers, and how pass-through varies across countries and over time.
Coverage: DNN · Bundeskartellamt · German Bundestag
Working paper
We exploit quasi-experimental variation from Bavaria’s rule-based public-agency relocations to ask whether place-based economic policy changes voting behavior. The design links a large regional-development intervention to electoral outcomes across treated municipalities and elections.
Working paper
We assemble a cross-country dataset covering more than 26 candidate drivers of far-right populism in over 30 Western democracies and explicitly confront model uncertainty. Bayesian Model Averaging identifies robust determinants, while Bayesian Additive Regression Trees uncover nonlinearities that standard linear models can miss.
Working paper
We reproduce Xu’s estimates of the long-run trade effects of the 1866 banking crisis, identify implementation issues, and reassess the results using alternative weighting, spatial-HAC inference, and staggered difference-in-differences. The paper’s central result remains robust.