IDEAS home Printed from https://ideas.repec.org/a/bpj/fhecpo/v18y2015i1p41-64n3.html
   My bibliography  Save this article

Sex-selective Abortion Bans are Not Associated with Changes in Sex Ratios at Birth among Asian Populations in Illinois and Pennsylvania

Author

Listed:
  • Nandi Arindam

    (The Center for Disease Dynamics, Economics & Policy, Washington, DC, USA; and the Public Health Foundation of India, New Delhi, India)

  • Kalantry Sital

    (Cornell University Law School, Ithaca, NY, USA)

  • Citro Brian

    (The University of Chicago Law School, Chicago, IL, USA)

Abstract

Legal prohibitions on sex-selective abortions are proliferating in the United States. Eight state legislatures have banned abortions sought on the basis of the sex of the fetus, 21 states have considered such laws since 2009, and a similar bill is pending in U.S. Congress. These laws have been introduced and enacted without any empirical data about their impact or effectiveness. Prior studies of U.S. Census data found sex ratios among foreign-born Chinese, Korean and Indian immigrants were skewed in favor of boys, but only in families where there were already one or two girls. Using the variation in the timing of bans in Illinois and Pennsylvania as natural experiments, we compare the pre-ban and post-ban sex ratios of certain Asian newborn children in these states over 12-year periods. We then compare these ratios with the sex ratios of Asian newborn children in neighboring states during the same period. We find that the bans in Illinois and Pennsylvania are not associated with any changes in sex ratios at birth among Asians. In Illinois and its neighboring states, the sex ratio at birth of Asian children was not male-biased during our study period. On the other hand, the sex ratio at birth among Asians in Pennsylvania and its neighboring states was skewed slightly in favor of boys, but the enactment of the ban did not normalize the sex ratio. This strongly suggests that sex-selective abortion bans have had no impact on the practice of sex selection, to the extent that it occurs, in these states. This finding is highly relevant to legislative and policy debates in the U.S. Congress and state legislatures where sex-selective abortion laws are being considered.

Suggested Citation

  • Nandi Arindam & Kalantry Sital & Citro Brian, 2015. "Sex-selective Abortion Bans are Not Associated with Changes in Sex Ratios at Birth among Asian Populations in Illinois and Pennsylvania," Forum for Health Economics & Policy, De Gruyter, vol. 18(1), pages 41-64, January.
  • Handle: RePEc:bpj:fhecpo:v:18:y:2015:i:1:p:41-64:n:3
    DOI: 10.1515/fhep-2014-0018
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/fhep-2014-0018
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    File URL: https://libkey.io/10.1515/fhep-2014-0018?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Monica Das Gupta & Jiang Zhenghua & Li Bohua & Xie Zhenming & Woojin Chung & Bae Hwa-Ok, 2003. "Why is Son preference so persistent in East and South Asia? a cross-country study of China, India and the Republic of Korea," Journal of Development Studies, Taylor & Francis Journals, vol. 40(2), pages 153-187.
    2. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    3. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    4. Ming-Jen Lin & Nancy Qian & Jin-Tan Liu, 2008. "More Women Missing, Fewer Girls Dying: The Impact of Abortion on Sex Ratios at Birth and Excess Female Mortality in Taiwan," NBER Working Papers 14541, National Bureau of Economic Research, Inc.
    5. Avraham Ebenstein, 2010. "The "Missing Girls" of China and the Unintended Consequences of the One Child Policy," Journal of Human Resources, University of Wisconsin Press, vol. 45(1).
    6. 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.
    7. Rajeev H. Dehejia & Sadek Wahba, 1998. "Causal Effects in Non-Experimental Studies: Re-Evaluating the Evaluation of Training Programs," NBER Working Papers 6586, National Bureau of Economic Research, Inc.
    8. Puri, Sunita & Adams, Vincanne & Ivey, Susan & Nachtigall, Robert D., 2011. ""There is such a thing as too many daughters, but not too many sons": A qualitative study of son preference and fetal sex selection among Indian immigrants in the United States," Social Science & Medicine, Elsevier, vol. 72(7), pages 1169-1176, April.
    9. Jason Abrevaya, 2009. "Are There Missing Girls in the United States? Evidence from Birth Data," American Economic Journal: Applied Economics, American Economic Association, vol. 1(2), pages 1-34, April.
    10. Nandi, Arindam & Deolalikar, Anil B., 2013. "Does a legal ban on sex-selective abortions improve child sex ratios? Evidence from a policy change in India," Journal of Development Economics, Elsevier, vol. 103(C), pages 216-228.
    11. Monica Das Gupta & Li Shuzhuo, 1999. "Gender Bias in China, South Korea and India 1920–1990: Effects of War, Famine and Fertility Decline," Development and Change, International Institute of Social Studies, vol. 30(3), pages 619-652, July.
    12. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
    Full references (including those not matched with items on IDEAS)

    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. S. Anukriti, 2013. "The Fertility-Sex Ratio Tradeoff: Unintended Consequences of Financial Incentives," Boston College Working Papers in Economics 827, Boston College Department of Economics.
    2. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    3. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand," NBER Technical Working Papers 0330, National Bureau of Economic Research, Inc.
    4. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2009. "Dealing with limited overlap in estimation of average treatment effects," Biometrika, Biometrika Trust, vol. 96(1), pages 187-199.
    5. Marie-Claire Robitaille & Ishita Chatterjee, 2013. "Mother-In-Law and Son Preference in India," Economics Discussion / Working Papers 13-04, The University of Western Australia, Department of Economics.
    6. Astghik Mavisakalyan & Anna Minasyan, 2023. "The Role of Conflict in Sex Discrimination: The Case of Missing Girls," Economic Development and Cultural Change, University of Chicago Press, vol. 71(2), pages 443-484.
    7. Andrea Ichino & Fabrizia Mealli & Tommaso Nannicini, 2008. "From temporary help jobs to permanent employment: what can we learn from matching estimators and their sensitivity?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 305-327.
    8. Daniel S. Grossman & David J.G. Slusky, 2019. "The Impact of the Flint Water Crisis on Fertility," Demography, Springer;Population Association of America (PAA), vol. 56(6), pages 2005-2031, December.
    9. Flores, Carlos A. & Flores-Lagunes, Alfonso, 2009. "Identification and Estimation of Causal Mechanisms and Net Effects of a Treatment under Unconfoundedness," IZA Discussion Papers 4237, Institute of Labor Economics (IZA).
    10. Peter R. Mueser & Kenneth R. Troske & Alexey Gorislavsky, 2007. "Using State Administrative Data to Measure Program Performance," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 761-783, November.
    11. S Anukriti & Sonia Bhalotra & Eddy H F Tam, 2022. "On the Quantity and Quality of Girls: Fertility, Parental Investments and Mortality," The Economic Journal, Royal Economic Society, vol. 132(641), pages 1-36.
    12. 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.
    13. V. Joseph Hotz & Guido W. Imbens & Jacob A. Klerman, 2006. "Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Reanalysis of the California GAIN Program," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 521-566, July.
    14. Giuseppe PORRO & Stefano Maria IACUS, 2004. "Average treatment effect estimation via random recursive partitioning," Departmental Working Papers 2004-28, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    15. Advani, Arun & Sloczynski, Tymon, 2013. "Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies," IZA Discussion Papers 7874, Institute of Labor Economics (IZA).
    16. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    17. Steven Lehrer & Gregory Kordas, 2013. "Matching using semiparametric propensity scores," Empirical Economics, Springer, vol. 44(1), pages 13-45, February.
    18. Anukriti, S & Chakravarty, Abhishek, 2015. "Political Aspirations in India: Evidence from Fertility Limits on Local Leaders," IZA Discussion Papers 9023, Institute of Labor Economics (IZA).
    19. Liu Qiang & Fernando Rios-Avila & Han Jiqin, 2020. "Is China's Low Fertility Rate Caused by the Population Control Policy?," Economics Working Paper Archive wp_943, Levy Economics Institute.
    20. Ferman, Bruno, 2021. "Matching estimators with few treated and many control observations," Journal of Econometrics, Elsevier, vol. 225(2), pages 295-307.

    More about this item

    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:bpj:fhecpo:v:18:y:2015:i:1:p:41-64:n:3. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    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.