This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Extended Family and Kinship Networks: Economic Insights and Evolutionary Directions

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Cox, Donald
Fafchamps, Marcel

Additional information is available for the following registered author(s):

Abstract

What do we know about the role of extended families and kinship networks for redistributing resources? What gaps in our knowledge most need to be filled? How can we best organize current work and identify priorities for future research? These questions are important for several reasons: households in developing countries depend on friends and relatives for their livelihood and sometimes their survival; help exchanged within extended families and kin networks affects the distribution of economic well-being, and this private assistance and exchange can interact with public income redistribution. Yet despite rapid recent progress there remain significant deficiencies in our understanding of the economics of extended families. Researchers confront a large and sometimes bewildering array of findings. We review and assess this literature by starting with an emphasis on standard economic concerns, most notably the possible interaction between government-provided social insurance and private kinship networks. Our review of the evidence suggests that the specter of complete "crowding out," whereby introduction or expansion of public transfers merely supplants private transfers, appears quite remote, though not impossible. However, numerous studies do suggest partial - but nonetheless substantial - crowding out, on the order of a 20-to-30-cent reduction in private transfers per dollar increase in public transfers. But the range of estimated effects is exceedingly wide, with many studies suggesting little private transfer response at all. Reconciling and explaining these disparate findings is a priority for future research. Theorizing about the economics of families should move beyond its concentration on income effects. The empirical literature indeed indicates that non-economic variables, such as age and gender, can have a powerful association with private transfers. We suggest that economists tap into the extensive non-economic literature that takes an evolutionary approach to the family. We show that this literature provides valuable guidance for modeling the effects of age, sex and relatedness in the interactions among extended family members. The evolutionary literature has much to offer economists interested in family behavior by proposing novel interpretations of existing findings and pointing out new and fruitful directions for future research. We encourage economists to pay more attention to this approach when studying kinship networks.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. 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: http://www.sciencedirect.com/science/article/B7P5D-4RWXCH1-N/1/280193aec0e20bb3fc8783c4bdf9ba13
File Format:
File Function:
Download Restriction: Full text for ScienceDirect subscribers only

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.

Publisher Info
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
This chapter was published in: T. Paul Schultz & John A. Strauss (ed.) , Elsevier, chapter 58, pages 3711-3784, 2008.

This item is provided by Elsevier in its series Handbook of Development Economics with number 5-58.

Handle: RePEc:eee:devchp:5-58

Contact details of provider:
Web page: http://www.elsevier.com/wps/find/bookseriesdescription.cws_home/BS_HE/description

For technical questions regarding this item, or to correct its listing, contact: (Heidi Boesdal).

Related research
This chapter was published in the following book, which is listed on IDEAS:
T. Paul Schultz & John A. Strauss (ed.), 2008. "Handbook of Development Economics," Handbook of Development Economics, Elsevier, edition 1, volume 4, number 5, December. [Downloadable!] (restricted)
Keywords: extended family; kinship network; private transfers; remittances; inter-household transfers; crowding out; risk sharing; Hamilton's rule; cultural norms;

Find related papers by JEL classification:
O15 - Economic Development, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

Cited by:
(explanations, 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.)

  1. David Dreyer Lassen & Helene Bie Lilleør, 2008. "Informal Institutions and Intergenerational Contracts: Evidence from Schooling and Remittances in Rural Tanzania," CAM Working Papers 2008-03, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics. [Downloadable!]
  2. Richard P.C. Brown & Eliana V. Jimenez, 2008. "Remittances and Subjective Welfare in a Mixed-Motives Model: Evidence from Fiji," Discussion Papers Series 370, School of Economics, University of Queensland, Australia. [Downloadable!]
  3. Richard P.C. Brown & Eliana V. Jimenez, 2008. "A Mixed-Motives Model of Private Transfers with Subjectively-Assessed Recipient Need: Evidence from a Poor, Transfer-Dependent Economy," Discussion Papers Series 365, School of Economics, University of Queensland, Australia. [Downloadable!]
Statistics
Access and download statistics

Did you know? IDEAS also covers the most complete directory of Economics departments and institutes, EDIRC.

This page was last updated on 2009-11-17.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.