IDEAS home Printed from https://ideas.repec.org/a/eee/jhecon/v80y2021ics0167629621001181.html
   My bibliography  Save this article

New Evidence on the Effects of Mandatory Waiting Periods for Abortion

Author

Listed:
  • Lindo, Jason M.
  • Pineda-Torres, Mayra

Abstract

Beyond a handful of studies examining early-adopting states in the early 1990s, little is known about the causal effects of mandatory waiting periods for abortion. In this study we evaluate the effects of a Tennessee law enacted in 2015 that requires women to make an additional trip to abortion providers for state-directed counseling at least 48 hours before they can obtain an abortion. Our difference-in-differences and synthetic-control estimates indicate that the introduction of the mandatory waiting period caused a 53–69 percent increase in the share of abortions obtained during the second trimester. Our analysis examining overall abortion rates is less conclusive but suggests a reduction caused by the waiting period. To put these estimates into context, we provide back-of-the-envelope calculations on the additional monetary costs that Tennessee’s MWP imposes on women seeking abortions.

Suggested Citation

  • Lindo, Jason M. & Pineda-Torres, Mayra, 2021. "New Evidence on the Effects of Mandatory Waiting Periods for Abortion," Journal of Health Economics, Elsevier, vol. 80(C).
  • Handle: RePEc:eee:jhecon:v:80:y:2021:i:c:s0167629621001181
    DOI: 10.1016/j.jhealeco.2021.102533
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167629621001181
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jhealeco.2021.102533?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. MacKinnon, James G. & Webb, Matthew D., 2020. "Randomization inference for difference-in-differences with few treated clusters," Journal of Econometrics, Elsevier, vol. 218(2), pages 435-450.
    2. Qi Qiu & Hailiang Mei & Xian Deng & Kaixuan He & Baixing Wu & Qingqing Yao & Jixiang Zhang & Falong Lu & Jinbiao Ma & Xiaofeng Cao, 2019. "DNA methylation repels targeting of Arabidopsis REF6," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    3. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    4. Tom Lee & Carol Propper & George Stoye, 2019. "Medical Labour Supply and the Production of Healthcare," Fiscal Studies, John Wiley & Sons, vol. 40(4), pages 621-661, December.
    5. James G. MacKinnon & Matthew D. Webb, 2017. "Pitfalls When Estimating Treatment Effects Using Clustered Data," Working Paper 1387, Economics Department, Queen's University.
    6. David Roodman & James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2019. "Fast and wild: Bootstrap inference in Stata using boottest," Stata Journal, StataCorp LP, vol. 19(1), pages 4-60, March.
    7. Lars E.O. Svensson, 2020. "What Rule for the Federal Reserve? Forecast Targeting," International Journal of Central Banking, International Journal of Central Banking, vol. 16(6), pages 39-95, December.
    8. Ted Joyce & Robert Kaestner, 2001. "The Impact of Mandatory Waiting Periods and Parental Consent Laws on the Timing of Abortion and State of Occurrence among Adolescents in Mississippi and South Carolina," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 20(2), pages 263-282.
    9. James G. MacKinnon & Matthew D. Webb, 2018. "The wild bootstrap for few (treated) clusters," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 114-135, June.
    10. John J J Bernstein & Gerhard B Holt & Joseph Bernstein, 2019. "Price dispersion of generic medications," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-7, November.
    11. Marianne Bitler & Madeline Zavodny, 2002. "Child Abuse and Abortion Availability," American Economic Review, American Economic Association, vol. 92(2), pages 363-367, May.
    12. Mireille Jacobson & Heather Royer, 2011. "Aftershocks: The Impact of Clinic Violence on Abortion Services," American Economic Journal: Applied Economics, American Economic Association, vol. 3(1), pages 189-223, January.
    13. Barkowski, Scott, 2021. "Interpretation of nonlinear difference-in-differences: the role of the parallel trends assumption," MPRA Paper 108975, University Library of Munich, Germany.
    14. Jason M. Lindo & Caitlin Knowles Myers & Andrea Schlosser & Scott Cunningham, 2020. "How Far Is Too Far? New Evidence on Abortion Clinic Closures, Access, and Abortions," Journal of Human Resources, University of Wisconsin Press, vol. 55(4), pages 1137-1160.
    15. Myers, Caitlin Knowles, 2021. "Cooling off or Burdened? The Effects of Mandatory Waiting Periods on Abortions and Births," IZA Discussion Papers 14434, Institute of Labor Economics (IZA).
    16. Young, Alwyn, 2019. "Channeling Fisher: randomization tests and the statistical insignificance of seemingly significant experimental results," LSE Research Online Documents on Economics 101401, London School of Economics and Political Science, LSE Library.
    17. Marianne P. Bitler & Madeline Zavodny, 2004. "Child Maltreatment, Abortion Availability, and Economic Conditions," Review of Economics of the Household, Springer, vol. 2(2), pages 119-141, June.
    18. Fischer, Stefanie & Royer, Heather & White, Corey, 2018. "The impacts of reduced access to abortion and family planning services on abortions, births, and contraceptive purchases," Journal of Public Economics, Elsevier, vol. 167(C), pages 43-68.
    19. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    20. James G. MacKinnon & Matthew D. Webb, 2019. "Wild Bootstrap Randomization Inference for Few Treated Clusters," Advances in Econometrics, in: The Econometrics of Complex Survey Data, volume 39, pages 61-85, Emerald Group Publishing Limited.
    21. Yao Lu & David J. G. Slusky, 2019. "The Impact of Women's Health Clinic Closures on Fertility," American Journal of Health Economics, University of Chicago Press, vol. 5(3), pages 334-359, Summer.
    22. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    23. Kenneth Meier & Donald Haider-Markel & Anthony Stanislawski & Deborah Mcfarlane, 1996. "The impact of state-level restrictions on abortion," Demography, Springer;Population Association of America (PAA), vol. 33(3), pages 307-312, August.
    24. Kelly, Andrea & Lindo, Jason M. & Packham, Analisa, 2020. "The power of the IUD: Effects of expanding access to contraception through Title X clinics," Journal of Public Economics, Elsevier, vol. 192(C).
    25. Bruno Ferman & Cristine Pinto, 2019. "Inference in Differences-in-Differences with Few Treated Groups and Heteroskedasticity," The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 452-467, July.
    26. Theodore J. Joyce & Robert Kaestner & Jason Ward, 2020. "The Impact of Parental Involvement Laws on the Abortion Rate of Minors," Demography, Springer;Population Association of America (PAA), vol. 57(1), pages 323-346, February.
    27. Theodore J. Joyce & Robert Kaestner & Jason Ward, 2019. "The Impact of Parental Involvement Laws on Minor Abortion," NBER Working Papers 25758, National Bureau of Economic Research, Inc.
    28. Christina Fong & Panu Poutvaara, 2019. "Redistributive politics with target-specific beliefs," ifo Working Paper Series 297, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    29. Alberto Abadie & Alexis Diamond & Jens Hainmueller, 2015. "Comparative Politics and the Synthetic Control Method," American Journal of Political Science, John Wiley & Sons, vol. 59(2), pages 495-510, February.
    30. Bitler, Marianne & Zavodny, Madeline, 2001. "The effect of abortion restrictions on the timing of abortions," Journal of Health Economics, Elsevier, vol. 20(6), pages 1011-1032, November.
    31. Bisakha Sen, 2007. "State Abortion Restrictions and Child Fatal-Injury: An Exploratory Study," Southern Economic Journal, John Wiley & Sons, vol. 73(3), pages 553-574, January.
    32. Zhang, Jianqiang & He, Xiuli, 2019. "Targeted advertising by asymmetric firms," Omega, Elsevier, vol. 89(C), pages 136-150.
    33. Alwyn Young, 2019. "Channeling Fisher: Randomization Tests and the Statistical Insignificance of Seemingly Significant Experimental Results," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(2), pages 557-598.
    34. Jones, R.K. & Jerman, J., 2017. "Population group abortion rates and lifetime incidence of abortion: United States, 2008–2014," American Journal of Public Health, American Public Health Association, vol. 107(12), pages 1904-1909.
    35. Marshall Medoff, 2007. "Price, Restrictions and Abortion Demand," Journal of Family and Economic Issues, Springer, vol. 28(4), pages 583-599, December.
    36. Haig Aghajanian & Toru Kimura & Joel G. Rurik & Aidan S. Hancock & Michael S. Leibowitz & Li Li & John Scholler & James Monslow & Albert Lo & Wei Han & Tao Wang & Kenneth Bedi & Michael P. Morley & Ri, 2019. "Targeting cardiac fibrosis with engineered T cells," Nature, Nature, vol. 573(7774), pages 430-433, September.
    37. Anindya Ghose & Beibei Li & Siyuan Liu, 2019. "Mobile Targeting Using Customer Trajectory Patterns," Management Science, INFORMS, vol. 65(11), pages 5027-5049, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sarah Miller & Laura R. Wherry & Diana Greene Foster, 2023. "The Economic Consequences of Being Denied an Abortion," American Economic Journal: Economic Policy, American Economic Association, vol. 15(1), pages 394-437, February.
    2. Lena Janys & Bettina Siflinger, 2021. "Mental Health and Abortions among Young Women: Time-Varying Unobserved Heterogeneity, Health Behaviors, and Risky Decisions," ECONtribute Discussion Papers Series 083, University of Bonn and University of Cologne, Germany.
    3. Clarke, Damian, 2023. "The Economics of Abortion Policy," IZA Discussion Papers 16395, Institute of Labor Economics (IZA).
    4. Myers, Caitlin Knowles, 2021. "Measuring the Burden: The Effect of Travel Distance on Abortions and Births," IZA Discussion Papers 14556, Institute of Labor Economics (IZA).
    5. Joanna Venator & Jason Fletcher, 2021. "Undue Burden Beyond Texas: An Analysis of Abortion Clinic Closures, Births, and Abortions in Wisconsin," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(3), pages 774-813, June.
    6. Lena Janys & Bettina Siflinger, 2021. "Mental Health and Abortions among Young Women: Time-varying Unobserved Heterogeneity, Health Behaviors, and Risky Decisions," Papers 2103.12159, arXiv.org, revised May 2022.
    7. Altındağ, Onur & Joyce, Theodore, 2022. "Another day, another visit: Impact of Arkansas’ mandatory waiting period for women seeking an abortion by demographic groups," Journal of Public Economics, Elsevier, vol. 213(C).
    8. Andersen, Martin & Bryan, Sylvia & Slusky, David, 2020. "COVID-19 Surgical Abortion Restriction Did Not Reduce Visits to Abortion Clinics," IZA Discussion Papers 13832, Institute of Labor Economics (IZA).
    9. Caitlin Myers, 2024. "Forecasts for a post‐Roe America: The effects of increased travel distance on abortions and births," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 43(1), pages 39-62, January.
    10. Martin Andersen & Sylvia Bryan & David Slusky, 2020. "COVID-19 Restrictions Reduced Abortion Clinic Visits, Even in Blue States," NBER Working Papers 28058, National Bureau of Economic Research, Inc.
    11. Myers, Caitlin Knowles, 2021. "Cooling off or Burdened? The Effects of Mandatory Waiting Periods on Abortions and Births," IZA Discussion Papers 14434, Institute of Labor Economics (IZA).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Cluster-robust inference: A guide to empirical practice," Journal of Econometrics, Elsevier, vol. 232(2), pages 272-299.
    2. Joanna Venator & Jason Fletcher, 2021. "Undue Burden Beyond Texas: An Analysis of Abortion Clinic Closures, Births, and Abortions in Wisconsin," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(3), pages 774-813, June.
    3. Eleanor Golightly & Pamela Meyerhofer, 2022. "Does Paid Family Leave Cause Mothers to Have More Children? Evidence from California," Journal of Labor Research, Springer, vol. 43(2), pages 203-238, June.
    4. Clarke, Damian, 2023. "The Economics of Abortion Policy," IZA Discussion Papers 16395, Institute of Labor Economics (IZA).
    5. Gonzalez, Felipe & Prem, Mounu, 2020. "Police Repression and Protest Behavior: Evidence from Student Protests in Chile," SocArXiv 3xk5r, Center for Open Science.
    6. James G. MacKinnon & Matthew D. Webb, 2020. "When and How to Deal with Clustered Errors in Regression Models," Working Paper 1421, Economics Department, Queen's University.
    7. Peter Backus & Thien Nguyen, 2021. "The Effect of the Sex Buyer Law on the Market for Sex, Sexual Health and Sexual Violence," Economics Discussion Paper Series 2106, Economics, The University of Manchester.
    8. Ferris, Ann E. & Frank, Eyal G., 2021. "Labor market impacts of land protection: The Northern Spotted Owl," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
    9. Matthew D. Webb, 2023. "Reworking wild bootstrap‐based inference for clustered errors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(3), pages 839-858, August.
    10. Clarke, Damian & Mühlrad, Hanna, 2021. "Abortion laws and women’s health," Journal of Health Economics, Elsevier, vol. 76(C).
    11. García-Ramos, Aixa, 2021. "Divorce laws and intimate partner violence: Evidence from Mexico," Journal of Development Economics, Elsevier, vol. 150(C).
    12. Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu, 2021. "An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1849-1864, October.
    13. Biewen, Martin & Schwerter, Jakob, 2019. "Does More Math in High School Increase the Share of Female STEM Workers? Evidence from a Curriculum Reform," IZA Discussion Papers 12236, Institute of Labor Economics (IZA).
    14. James G. MacKinnon, 2019. "How cluster-robust inference is changing applied econometrics," Canadian Journal of Economics, Canadian Economics Association, vol. 52(3), pages 851-881, August.
    15. Fischer, Stefanie & Royer, Heather & White, Corey, 2018. "The impacts of reduced access to abortion and family planning services on abortions, births, and contraceptive purchases," Journal of Public Economics, Elsevier, vol. 167(C), pages 43-68.
    16. Roth, Jonathan & Sant’Anna, Pedro H.C. & Bilinski, Alyssa & Poe, John, 2023. "What’s trending in difference-in-differences? A synthesis of the recent econometrics literature," Journal of Econometrics, Elsevier, vol. 235(2), pages 2218-2244.
    17. Todd Morris & Benoit Dostie, 2023. "Graying and staying on the job: The welfare implications of employment protection for older workers," Cahiers de recherche / Working Papers 15, Institut sur la retraite et l'épargne / Retirement and Savings Institute.
    18. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2023. "Leverage, influence, and the jackknife in clustered regression models: Reliable inference using summclust," Stata Journal, StataCorp LP, vol. 23(4), pages 942-982, December.
    19. Friedman, Willa & Keats, Anthony & Mutua, Martin Kavao, 2022. "Disruptions to healthcare quality and early child health outcomes: Evidence from health-worker strikes in Kenya," Journal of Health Economics, Elsevier, vol. 86(C).
    20. Rodrigo Aranda & Michael Darden & Donald Rose, 2021. "Measuring the impact of calorie labeling: The mechanisms behind changes in obesity," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2858-2878, November.

    More about this item

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • K23 - Law and Economics - - Regulation and Business Law - - - Regulated Industries and Administrative Law

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jhecon:v:80:y:2021:i:c:s0167629621001181. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505560 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.