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Estimating Prevalence of Abortion Using List Experiments: Findings from a Survey of Women in Delaware and Maryland

Published:September 20, 2021DOI:https://doi.org/10.1016/j.whi.2021.08.003

      Abstract

      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.
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      Biography

      Alexandra Kissling, PhD, is a postdoctoral research associate with the Maryland Population Research Center. Her research agenda focuses on how inequalities in family and gender influence health, using qualitative and quantitative approaches.

      Biography

      Heide M. Jackson, PhD, is the statistical programmer for the Maryland Population Research Center. Her research interests pertain to health inequalities, longitudinal analysis, and issues in missing data.