01
Job Market Paper
This paper provides evidence that trade liberalization generates divergent political behavior towards labor institutions across firms within industries.
This firm-centered perspective helps explain variation in welfare state responses to trade and provides micro-foundations for understanding how globalization reshapes the politics of labor regulation.
I test my argument using confidential U.S. Census microdata linking establishment-level employment and wage records (LEHD) to firm-level trade transactions (LFTTD) and business registry data (LBD).
I find that greater state-level export intensity is associated with higher minimum wages, with effects concentrated among the most productive exporters.
02
Co-authored
U.S. Multinationals and Preferential Market Access
This paper asks whether multinational firms are systematically associated with more favorable preferential tariff outcomes than observationally comparable non-multinationals
importing the same products from the same countries. We construct a novel panel dataset linking confidential U.S. Census trade transaction records (LFTTD) to firm characteristics (LBD, CMF)
and preferential tariff rates at the HS8-country-year level. Multinational status is associated with approximately two percentage points lower preferential tariff rates,
conditional on product, country, industry, and year fixed effects.
03
Work in progress
AI Firms and the Politics of Labor
This paper shows that technological change can reconstitute the coalitional foundations of skill-training institutions in new ways. If AI's skill-equalizing properties
make workforce investment worthwhile across a broader range of industries, firms previously divided by different skill needs and production strategies may converge on
shared political priorities around workforce development. I test this using a novel linkage of LinkedIn job vacancy microdata from Revelio Labs to federal lobbying disclosures in LobbyView,
exploiting ChatGPT's November 2022 release as a source of quasi-experimental variation in AI adoption.