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Title: Abortion Policy After Roe: How Legalization Impacted Income of Future Cohorts

Citation Type: Dissertation/Thesis

Publication Year: 2023

Abstract: Building upon previous research examining the socioeconomic effects of abortion laws, this study explored how U.S. abortion legality following the Supreme Court’s decision in Roe v. Wade (1973) impacted the income of post-policy cohorts. Previous studies have suggested that children born under accessible and legal abortion will experience differential outcomes from those born under abortion restriction. Researchers theorize that when women are able to effectively plan the timing of their motherhood, those who deem themselves financially illprepared can delay or forgo parenthood; the selection of unprepared women away from parenthood equates to a greater proportion of children raised in households with sufficient support and resources. Using American Community Survey (ACS) data, I conducted a stratified difference-in-differences regression model that analyzed the 2019 incomes of cohorts born the year before and the year after the policy change, accounting for the presence of several U.S. state laws that had legalized abortion before 1973. I find that Roe-era constitutional abortion protections had a largely insignificant impact on income across my post-policy cohorts. However, income effects were substantial and highly significant for the Hispanic cohort. PostRoe legalization increased annual income for Hispanics by $19,506 in 2018, equating to a roughly one-third increase in the average income for Hispanics in that year. These results suggest that legal abortion access is a significant determinant of future income for Hispanic Americans.

Url: https://www.proquest.com/docview/2808448159?pq-origsite=gscholar&fromopenview=true

User Submitted?: No

Authors: Setness, Diana D

Institution: Georgetown University

Department: Graduate School of Arts and Sciences

Advisor:

Degree:

Publisher Location:

Pages: 1-39

Data Collections: IPUMS USA

Topics: Labor Force and Occupational Structure, Population Data Science, Race and Ethnicity, Reproductive and Sexual Health

Countries:

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