2025/11/20 by Rintaro Ando, Ando, Rintaro
Economics, Econometrics and Finance · Mathematics · Medicine · Social Sciences · #91B15 #91B40 #Advanced Causal Inference Techniques #FOS: Economics and business #Gender, Labor, and Family Dynamics #General Economics (econ.GN) #J.4 #K.4.1 #Reproductive Health and Contraception #acm:91B15 #acm:91B40 #econ.GN #msc:91B15 #msc:91B40 #q-fin.EC
paper · pdf · doi:10.48550/arxiv.2511.16120
This paper has been withdrawn due to a critical error in the data analysis section that compromises the main empirical findings
openalex publication_date 2025/11/20 · openalex created_date 2025/11/23 · openalex updated_date 2026/07/28 · arxiv created 2026/07/31 · arxiv updated 2026/08/03
This paper studies the impact of the 2022 Dobbs decision and subsequent state level abortion bans on the labor supply of young women (ages 18-24). Using monthly CPS micro data from January 2021 to December 2023, I exploit cross state variation in post Dobbs abortion policy and estimate Difference-in-Differences (DiD) and Triple-Difference (DDD) models. In a simple DiD comparing young women in ban versus protected states, labor force participation in ban states rises by 3.6 percentage points, while participation among young men in the same states falls by 2.9 percentage points, suggesting that the female response is unlikely to be driven by stronger local labor demand. The preferred DDD specification with state-by-month and gender interacted fixed effects implies a 6.6 percentage point increase in labor force participation for young women in ban states relative to young men. School enrollment does not change significantly, whereas employment increases by about 3 percentage points. These results suggest that abortion bans are associated with an immediate increase in young women's labor market attachment, potentially shifting their short run focus toward current earnings rather than human capital accumulation.