IDEAS home Printed from https://ideas.repec.org/a/bpj/bejeap/v20y2020i3p39n1.html
   My bibliography  Save this article

Hi-tech Sexism? Evidence from Bangladesh

Author

Listed:
  • Hoque Nazmul

    (Department of Economics, East West University, Dhaka, Bangladesh)

  • Boulier Bryan L.

    (Department of Economics, George Washington University, Washington, DC, USA)

Abstract

With the advent of modern technology for fetal sex determination, selective abortion is found to be responsible for a significant number of “missing women” in countries like China and India. Using a competing risk hazard model, we investigate whether son preference translates into selective abortion and accounts for any of the “missing women” in Bangladesh. Data suggest that son preference leads to shorter birth intervals if previous births are girls. For example, if the first birth is a girl, the odds of having another child each quarter is about 15% higher and the birth interval is about 2 months shorter for more educated urban women in recent years (1990–2011). However, there is no evidence that selective abortion contributes to missing women in Bangladesh.

Suggested Citation

  • Hoque Nazmul & Boulier Bryan L., 2020. "Hi-tech Sexism? Evidence from Bangladesh," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 20(3), pages 1-39, July.
    • Handle: RePEc:bpj:bejeap:v:20:y:2020:i:3:p:39:n:1
    DOI: 10.1515/bejeap-2019-0269
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/bejeap-2019-0269
    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/bejeap-2019-0269?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.

    More about this item

    Keywords

    son preference; selective abortion; gender inequality; missing women; Bangladesh; C41; J16; O10;
    All these keywords.

    JEL classification:

    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General

    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:bejeap:v:20:y:2020:i:3:p:39:n:1. 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: 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.