IDEAS home Printed from
MyIDEAS: Login to save this article or follow this journal

Flexibility of Household Structure: Child Fostering Decisions in Burkina Faso

  • Richard Akresh

Using data I collected in Africa, this paper examines a household’s decision to adjust its size through child fostering, an institution where biological parents temporarily send children to live with other families. Households experiencing negative idiosyncratic income shocks, child gender imbalances, located further from primary schools, or with more "good" quality network members (fewer subsistence farmers and unmarried individuals and more educated members) are significantly more likely to send a child. Results reject an overall symmetric fostering model across senders and receivers, but evidence of symmetry is found when the test is restricted to exogenous income shocks and gender imbalances.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: A subscription is required to access pdf files. Pay per article is available.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by University of Wisconsin Press in its journal Journal of Human Resources.

Volume (Year): 44 (2009)
Issue (Month): 4 ()

in new window

Handle: RePEc:uwp:jhriss:v:44:y:2009:i4:p976-997
Contact details of provider: Web page:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Rosenzweig, Mark R. & Wolpin, Kenneth I., 1989. "Credit Market Constraints, Consumption Smoothing and the Accumulation of Durable Production Assets in Low-Income Countries: Investments in Bullocks in India," Bulletins 7487, University of Minnesota, Economic Development Center.
  2. Eric Edmonds & Kristin Mammen & Douglas L. Miller, 2004. "Rearranging the Family? Income Support and Elderly Living Arrangements in a Low Income Country," NBER Working Papers 10306, National Bureau of Economic Research, Inc.
  3. Smith, Richard J & Blundell, Richard W, 1986. "An Exogeneity Test for a Simultaneous Equation Tobit Model with an Application to Labor Supply," Econometrica, Econometric Society, vol. 54(3), pages 679-85, May.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:uwp:jhriss:v:44:y:2009:i4:p976-997. 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: ()

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.