IDEAS home Printed from
MyIDEAS: Login to save this paper or follow this series

Estimating wealth effects without expenditure data - or tears : with an application to educational enrollments in states of India

  • Filmer, Deon
  • Pritchett, Lant

This paper has an empirical and overtly methodological goal. The authors propose and defend a method for estimating the effect of household economic status on educational outcomes without direct survey information on income or expenditures. They construct an index based on indicators of household assets, solving the vexing problem of choosing the appropriate weights by allowing them to be determined by the statistical procedure of principal components. While the data for India cannot be used to compare alternative approaches they use data from Indonesia, Nepal, and Pakistan which have both expenditures and asset variables for the same households. With these data the authors show that not only is there a correspondence between a classification of households based on the asset index and consumption expenditures but also that the evidence is consistent with the asset index being a better proxy for predicting enrollments--apparently less subject to measurement error for this purpose--than consumption expenditures. The relationship between household wealth and educational enrollment of children can be estimated without expenditure data. A method for doing so - which uses an index based on household asset ownership indicators- is proposed and defended in this paper. In India, children from the wealthiest households are over 30 percentage points more likely to be in school than those from the poorest households.

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: no

Paper provided by The World Bank in its series Policy Research Working Paper Series with number 1994.

in new window

Date of creation: 31 Oct 1998
Date of revision:
Handle: RePEc:wbk:wbrwps:1994
Contact details of provider: Postal: 1818 H Street, N.W., Washington, DC 20433
Phone: (202) 477-1234
Web page:

More information through EDIRC

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. Jere Behrman & James C. Knowles, . "How Strongly is Child Schooling Associated with Household Income?," CARESS Working Papres 97-22, University of Pennsylvania Center for Analytic Research and Economics in the Social Sciences.
  2. Lanjouw, Peter & Ravallion, Martin & DEC, 1994. "Poverty and household size," Policy Research Working Paper Series 1332, The World Bank.
  3. Patrinos, Harry Anthony, 1997. "Differences in education and earnings across ethnic groups in Guatemala," The Quarterly Review of Economics and Finance, Elsevier, vol. 37(4), pages 809-821.
  4. Jalan, Jyotsna & Ravallion, Martin, 1998. "Transient Poverty in Postreform Rural China," Journal of Comparative Economics, Elsevier, vol. 26(2), pages 338-357, June.
  5. Glewwe, P. & Hall, G., 1995. "Who is Most Vulnerable to Macroeconomic Shocks? Hypotheses Tests Using Panel Data from Peru," Papers 117, World Bank - Living Standards Measurement.
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:wbk:wbrwps:1994. 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: (Roula I. Yazigi)

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.