IDEAS home Printed from https://ideas.repec.org/a/eee/matsoc/v65y2013i1p36-39.html
   My bibliography  Save this article

Sex ratio at birth: A model based approach

Author

Listed:
  • Yadava, R.C.
  • Kumar, Anup
  • Srivastava, U.

Abstract

There are many biological and social determinants of the sex ratio (the ratio of the number of males to the total number of children) at birth (SRB). Among these, sex selective abortion is considered the most effective. This paper attempts to examine the impact of the practice of sex selective abortion on the SRB under different hypothetical situations. This paper also investigates the effect of the desire of a sex combination of children on the SRB under different stopping rules for heterogeneity in the population regarding the probability of producing a male child (p). The results presented here are intended to further clarify the impact of some possible stopping rules on the SRB.

Suggested Citation

  • Yadava, R.C. & Kumar, Anup & Srivastava, U., 2013. "Sex ratio at birth: A model based approach," Mathematical Social Sciences, Elsevier, vol. 65(1), pages 36-39.
  • Handle: RePEc:eee:matsoc:v:65:y:2013:i:1:p:36-39
    DOI: 10.1016/j.mathsocsci.2012.06.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165489612000613
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.mathsocsci.2012.06.004?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.

    Citations

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


    Cited by:

    1. Frank T. Denton & Byron G. Spencer, 2014. "Exploring the Population Implications of Male Preference When the Sex Probabilities at Birth Can Be Altered," Department of Economics Working Papers 2014-10, McMaster University.
    2. Frank T. Denton & Byron G. Spencer, 2014. "Exploring the population implications of male preference when the sex probabilities at birth can be altered," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 31(25), pages 757-778.
    3. Anup Kumar & R. C. Yadava, 2019. "Impact of Heterogeneity on Closed and Open Birth Intervals," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 81(2), pages 289-301, December.

    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:eee:matsoc:v:65:y:2013:i:1:p:36-39. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/505565 .

    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.