Quantifying the impact of targeted regulation of abortion provider laws on US abortion rates: a multi-state assessment

Contraception. 2019 Nov;100(5):374-379. doi: 10.1016/j.contraception.2019.06.003. Epub 2019 Jun 14.

Abstract

Objectives: In this paper, we estimate the average effect of two common TRAP (targeted regulation of abortion providers) laws on abortion rates using a novel longitudinal database of state-level policy shifts.

Study design: We merged several sources of policy, abortion, and sociodemographic data from 1991-2014. We used a difference-in-differences design to control for time-fixed state-level characteristics and common factors affecting abortion trends across all states, as well as measured time-varying state-level factors that may impact TRAP enforcement and abortion rates. We used generalized linear models with cluster-robust standard errors to obtain our estimates.

Results: Enforcement of ambulatory surgical center (ASC) laws reduced the abortion rate by 1.25 abortions per 1000 women aged 15-44 (95% CI: -3.39, .89), and admitting privilege laws increased the abortion rate by .57 abortions per 1000 women aged 15-44 (95% CI: -.68, 1.83), but neither effect was statistically distinguishable from zero. Our findings were robust to the inclusion of covariates and various sensitivity analyses.

Conclusion: Our results suggest that ASC and admitting privilege laws did not, on average, lead to a meaningful change in abortion rates.

Implications: US abortion rates are currently at record lows, but our findings suggest that TRAP laws are not a meaningful driver of this trend. However, this does not mean that these laws are without consequence in a particular state (or a given year). Researchers should assess the average long-run impact of TRAP laws on other outcomes in the future.

Keywords: Abortion policy; TRAP laws; United States; Women's health.

MeSH terms

  • Abortion, Induced / legislation & jurisprudence*
  • Abortion, Induced / statistics & numerical data*
  • Adolescent
  • Adult
  • Data Management / methods*
  • Databases, Factual / standards*
  • Female
  • Government Regulation
  • Health Policy*
  • Humans
  • Pregnancy
  • State Government
  • United States
  • Young Adult