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OBJECTIVE: To estimate the association of Medicaid coverage of abortion care with cumulative lifetime abortion incidence among women insured by Medicaid. DATA SOURCES AND STUDY SETTING: We use 2016-2019 (Pre-Dobbs) data from the Survey of Women studies that represent women aged 18-44 living in six U.S. states. One state, Maryland, has a Medicaid program that has long covered the cost of abortion care. The other five states, Alabama, Delaware, Iowa, Ohio, and South Carolina, have Medicaid programs that do not cover the cost of abortion care. Our sample includes 8972 women residing in the study states. STUDY DESIGN: Our outcome, cumulative lifetime abortion incidence, is identified using an indirect survey method, the double list experiment. We use a multivariate regression of cumulative lifetime abortion on variables including whether women were Medicaid-insured and whether they were residing in Maryland versus in one of the other five states. DATA COLLECTION/EXTRACTION METHODS: This study used secondary survey data. PRINCIPAL FINDINGS: We estimate that Medicaid coverage of abortion care in Maryland is associated with a 37.0 percentage-point (95% CI: 12.3-61.4) higher cumulative lifetime abortion incidence among Medicaid-insured women relative to women not insured by Medicaid compared with those differences by insurance status in states whose Medicaid programs do not cover the cost of abortion care. CONCLUSIONS: We found that Medicaid coverage of abortion care is associated with a much higher lifetime incidence of abortion among individuals insured by Medicaid. We infer that Medicaid coverage of abortion care costs may have a very large impact on the accessibility of abortion care for low-income women.
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Many demographic problems require models for partnership formation. We consider a model for matchings within a bipartite population where individuals have utility for people based on observed and unobserved characteristics. It represents both the availability of potential partners of different types and the preferences of individuals for such people. We develop an estimator for the preference parameters based on sample survey data on partnerships and population composition. We conduct simulation studies based on the Survey of Income and Program Participation showing that the estimator recovers preference parameters that are invariant under different population availabilities and has the correct confidence coverage.
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BACKGROUND: Widespread underreporting of abortion persists in survey data. The list experiment, a measurement tool designed to elicit truthful responses to sensitive questions, may alleviate underreporting. METHODS: Using The Statewide Survey of Women of Reproductive Age in Delaware and Maryland (n = 2,747), we estimate the prevalence of abortion in Maryland and Delaware using a double list experiment. RESULTS: We find 21% (95% confidence interval [CI]: 16.8%-25.3%) of respondents aged 18 to 44 ever had an abortion and we identify disparities in abortion prevalence by age, race, education, income, marital status, and insurance status. Respondents who were Black (37.0%; 95% CI: 27.1%-46.8%), had less than a college degree (24.8%; 95% CI: 18.3%-31.3%), were in a cohabiting relationship (39.0%; 95% CI: 29.1%-48.9%), were living in households with incomes less than $50,000 (28.6%; 95% CI: 19.7%-37.5%), and were currently covered by Medicaid (42.8%; 95% CI: 27.6%-58.0%) were more likely than their counterparts to have ever had an abortion. CONCLUSIONS: List experiments yield estimates of abortion substantially higher than those obtained from direct questions. Findings demonstrate external validity through consistency with estimates from administrative data sources and gold standard abortion provider survey data.