IDEAS home Printed from https://ideas.repec.org/p/fth/harver/1636.html
   My bibliography  Save this paper

Identifying Sex Bias in the Allocation of Household Resources: Evidence from Linked Household Surveys from Bangladesh

Author

Listed:
  • Ahmad, A.
  • Morduch, J.

Abstract

No abstract is available for this item.

Suggested Citation

  • Ahmad, A. & Morduch, J., 1993. "Identifying Sex Bias in the Allocation of Household Resources: Evidence from Linked Household Surveys from Bangladesh," Harvard Institute of Economic Research Working Papers 1636, Harvard - Institute of Economic Research.
  • Handle: RePEc:fth:harver:1636
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Ueyama, Mika, 2007. "Income growth and gender bias in childhood mortality in developing countries:," IFPRI discussion papers 739, International Food Policy Research Institute (IFPRI).
    2. John Gibson & Scott Rozelle, 2004. "Is it Better to be a Boy? A Disaggregated Outlay Equivalent Analysis of Gender Bias in Papua New Guinea," Journal of Development Studies, Taylor & Francis Journals, vol. 40(4), pages 115-136.
    3. Geeta G. Kingdon, 2003. "Where has all the bias gone? Detecting gender-bias in the household allocation of educational expenditure," CSAE Working Paper Series 2003-13, Centre for the Study of African Economies, University of Oxford.
    4. Morduch, Jonathan J. & Stern, Hal S., 1997. "Using mixture models to detect sex bias in health outcomes in Bangladesh," Journal of Econometrics, Elsevier, vol. 77(1), pages 259-276, March.
    5. Haddad, Lawrence James & Peña, Christine & Nishida, Chizuru & Quisumbing, Agnes R. & Slack, Alison T., 1996. "Food security and nutrition implications of intrahousehold bias," FCND discussion papers 19, International Food Policy Research Institute (IFPRI).
    6. Koohi-Kamali, Feridoon, 2008. "Intrahousehold inequality and child gender bias in Ethiopia," Policy Research Working Paper Series 4755, The World Bank.
    7. Geoffrey Lancaster & Pushkar Maitra & Ranjan Ray, 2008. "Household Expenditure Patterns and Gender Bias: Evidence from Selected Indian States," Oxford Development Studies, Taylor & Francis Journals, vol. 36(2), pages 133-157.
    8. Lee, Yiu-fai Daniel, 2008. "Do families spend more on boys than on girls? Empirical evidence from rural China," China Economic Review, Elsevier, vol. 19(1), pages 80-100, March.
    9. Christopher Udry, 1997. "Recent Advances in Empirical Microeconomic Research in Poor Countries: An Annotated Bibliography," The Journal of Economic Education, Taylor & Francis Journals, vol. 28(1), pages 58-75, March.
    10. Sonia Bhalotra & Cliff Attfield, 1998. "Intrahousehold resource allocation in rural Pakistan: a semiparametric analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(5), pages 463-480.
    11. Ping Zhang & Arthur van Soest & Xiaodong Gong, 2005. "The effects of the gender of children on expenditure patterns in rural China: a semiparametric analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 509-527.
    12. Nobuhiko Fuwa, 2014. "Pro-girl Bias in Intra-household Allocation in the Rural Philippines: Revisiting the “Adult Goods” Approach," Review of Development Economics, Wiley Blackwell, vol. 18(4), pages 727-740, November.
    13. repec:taf:jdevst:v:32:y:1996:i:6:p:913-932 is not listed on IDEAS
    14. Rana Ejaz Ali Khan & Karamat Ali, 2005. "Bargaining Over Sons' and Daughters' Schooling-Probit Analysis of Household Behavior," HEW 0505002, EconWPA.
    15. Fuwa, Nobuhiko, 2005. "Intrahousehold Analysis Using Household Consumption Data: Would the Potential Benefit of Collecting Individual-Level Consumption Data Justify Its Cost?," MPRA Paper 23689, University Library of Munich, Germany.
    16. Diane Dancer & Anu Rammohan & Murray D. Smith, 2008. "Infant mortality and child nutrition in Bangladesh," Health Economics, John Wiley & Sons, Ltd., vol. 17(9), pages 1015-1035.
    17. Gong, Xiaodong & van Soest, Arthur & Zhang, Ping, 2000. "Sexual Bias and Household Consumption: A Semiparametric Analysis of Engel Curves in Rural China," IZA Discussion Papers 212, Institute for the Study of Labor (IZA).
    18. Sonia Bhalotra, 2004. "Parent Altruism, Cash Transfers and Child Poverty," Bristol Economics Discussion Papers 04/561, Department of Economics, University of Bristol, UK.

    More about this item

    Keywords

    economic models ; prices ; market economy;

    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:fth:harver:1636. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Thomas Krichel). General contact details of provider: http://edirc.repec.org/data/ieharus.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.