IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v176y2017icp21-24.html
   My bibliography  Save this article

Son-biased sex ratios in 2010 US Census and 2011–2013 US natality data

Author

Listed:
  • Almond, Douglas
  • Sun, Yixin

Abstract

If gender bias is receding, demographic manifestations of son preference should also tend to decrease. The sex composition of US children provides a key barometer of gender preference. In the 2010 US Population Census, Chinese and Asian-Indian families are more likely to have a son after a daughter, consistent with previous research. Korean-American families, by contrast, do not show this same pattern, paralleling recent declines in sex selection observed for South Korea. Non-Hispanic White families have sex ratios within the range of the biologically norm regardless of the sex composition of previous children. We corroborate the 2010 Census data with 2011–2013 birth certificate microdata, which likewise show elevated sex ratios for Chinese and Asian Indians at higher birth orders.

Suggested Citation

  • Almond, Douglas & Sun, Yixin, 2017. "Son-biased sex ratios in 2010 US Census and 2011–2013 US natality data," Social Science & Medicine, Elsevier, vol. 176(C), pages 21-24.
    • Handle: RePEc:eee:socmed:v:176:y:2017:i:c:p:21-24
    DOI: 10.1016/j.socscimed.2016.12.038
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953616307183
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.socscimed.2016.12.038?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. Woojin Chung & Monica Das Gupta, 2007. "The Decline of Son Preference in South Korea: The Roles of Development and Public Policy," Population and Development Review, The Population Council, Inc., vol. 33(4), pages 757-783, December.
    2. Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge, 2014. "Finite Population Causal Standard Errors," NBER Working Papers 20325, National Bureau of Economic Research, Inc.
    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. Shen, Menghan & Li, Linyan, 2020. "Differences in Cesarean section rates by fetal sex among Chinese women in the United States: Does Chinese culture play a role?," Economics & Human Biology, Elsevier, vol. 36(C).
    2. Dasgupta, Kabir & Diegmann, André & Kirchmaier, Tom & Plum, Alexander, 2022. "The gender reveal: The effect of sons on young fathers’ criminal behavior and labor market activities," Labour Economics, Elsevier, vol. 78(C).
    3. Sarah Carol & Karsten Hank, 2020. "Natives’ and Immigrants’ Gender Preferences for Children in Germany," European Journal of Population, Springer;European Association for Population Studies, vol. 36(2), pages 235-246, April.

    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. Sehar Ezdi & Ahmet Melik Baş, 2020. "Gender preferences and fertility: Investigating the case of Turkish immigrants in Germany," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 43(3), pages 59-96.
    2. Yukawa Shiho, 2015. "Effects of Fatherhood on Male Wage and Labor Supply in Japan," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 15(2), pages 437-474, April.
    3. Giyeon Seo & Tanya Koropeckyj‐Cox & Sanghag Kim, 2022. "Correlates of Contemporary Gender Preference for Children in South Korea," Population and Development Review, The Population Council, Inc., vol. 48(1), pages 161-188, March.
    4. Guy J Abel & Nayoung Heo, 2018. "Subnational gender balances in South Korea," Environment and Planning A, , vol. 50(5), pages 941-944, August.
    5. Rajat Deb, 2016. "Determinants of Savings in Sukanya Samriddhi Account: Evidence from Tripura," IIM Kozhikode Society & Management Review, , vol. 5(2), pages 120-140, July.
    6. Robert Rudolf, 2014. "Work Shorter, Be Happier? Longitudinal Evidence from the Korean Five-Day Working Policy," Journal of Happiness Studies, Springer, vol. 15(5), pages 1139-1163, October.
    7. Valentine Becquet & Nicolás Sacco & Ignacio Pardo, 2022. "Disparities in Gender Preference and Fertility: Southeast Asia and Latin America in a Comparative Perspective," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(3), pages 1295-1323, June.
    8. Anna‐Maria Aksan, 2022. "Son preference and the demographic transition," Review of Development Economics, Wiley Blackwell, vol. 26(1), pages 32-56, February.
    9. Lena Edlund & Chulhee Lee, 2013. "Son Preference, Sex Selection and Economic Development: The Case of South Korea," NBER Working Papers 18679, National Bureau of Economic Research, Inc.
    10. Adamos Adamou & Christina Drakos & Sriya Iyer, 2013. "Missing women in the United Kingdom," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-19, December.
    11. Ashwini Deshpande & Apoorva Gupta, 2019. "Nakusha? Son Preference, Resource Concentration and Gender Gaps in Education," Working Papers 1020, Ashoka University, Department of Economics.
    12. Peter Ganong & Simon Jäger, 2018. "A Permutation Test for the Regression Kink Design," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(522), pages 494-504, April.
    13. Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2018. "Network and panel quantile effects via distribution regression," CeMMAP working papers CWP21/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. Goli, Srinivas & Arora, Somya & Jain, Neha & Shekher, T V, 2022. "Patrilocality and Child Sex Ratios in India," MPRA Paper 111905, University Library of Munich, Germany.
    15. Philip ME Garboden, 2019. "Sources and Types of Big Data for Macroeconomic Forecasting," Working Papers 2019-3, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    16. Bharat Chandar & Ali Hortacsu & John List & Ian Muir & Jeffrey Wooldridge, 2019. "Design and Analysis of Cluster-Randomized Field Experiments in Panel Data Settings," Natural Field Experiments 00681, The Field Experiments Website.
    17. Bruno Ferman, 2023. "Inference in difference‐in‐differences: How much should we trust in independent clusters?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 358-369, April.
    18. Prabir C. Bhattacharya, 2012. "Gender Inequality and the Sex Ratio in Three Emerging Economies," Heriot-Watt University Economics Discussion Papers 1201, Department of Economics, School of Management and Languages, Heriot Watt University.
    19. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    20. Daniel Goodkind, 2011. "Child Underreporting, Fertility, and Sex Ratio Imbalance in China," Demography, Springer;Population Association of America (PAA), vol. 48(1), pages 291-316, February.

    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:socmed:v:176:y:2017:i:c:p:21-24. 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/wps/find/journaldescription.cws_home/315/description#description .

    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.