The Labor Market Impacts of GLP-1s
with N. Meltem Daysal, Ida L. Kristiansen, Mircea Trandafir, and Jonathan Zhang.
NBER WP #35475, July 2026
We estimate the causal impacts of GLP-1 treatment on labor market outcomes using linked Danish administrative data and a matched stacked difference-in-differences design. We compare patients who initiate GLP-1 treatment during the first two years of Semaglutide availability to observably similar patients who initiate four years later. We find that GLP-1 treatment reduces long-term sickness leave by 17.3%. We estimate total fiscal benefits of GLP-1 initiation of approximately 1.3 to 1.5% of annual labor income per employed individual. We do not detect statistically significant or economically meaningful impacts on income, labor force participation, or employment over four years.
The Effects of Emergent Bilingual Programs in Texas on Educational and Labor Market Outcomes
with Jorge Luis Tello Garza.
Approximately 25 million people in the US have limited English proficiency, a barrier that can affect their educational attainment, labor market outcomes, and social mobility. Policymakers pour resources into programs designed to improve the educational outcomes of Emergent Bilinguals (EBs) — students whose primary language is not English and who are not yet fluent in English. However, there is ongoing debate over the effectiveness of different EB program models and how to allocate resources to each. We estimate the causal impact of various EB programs on educational and labor market outcomes of K-12 students in Texas, using linked longitudinal administrative data for all public school students. We employ a fuzzy regression discontinuity design, exploiting quasi-random variation in EB program placement induced by students’ test scores on an English examination. We find no detectable effect on the end-of-year test scores of students on the margin of enrollment into such EB programs.