IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article

Accounting for the Black-White Wealth Gap: A Nonparametric Approach

  • Barsky R.
  • Bound J.
  • Charles K.K.
  • Lupton J.P.

This paper notes a potential problem in the method of Blinder and Oaxaca the most popular method in the literature for decomposing the mean difference between groups of a given variable into the portion attributable to differences in the distribution of some explanatory variables and differences in the conditional expectation functions. In its conventional application, the Blinder-Oaxaca method requires that a parametric assumption be made about the form of the conditional expectations function. We show that misspecification is likely to result in non-trivial errors in inference regarding the portion attributable to differences in the distribution of explanatory variables. A nonparametric alternative to the Blinder-Oaxaca method is proposed. Rather than specify an arbitrary functional form for the conditional expectations function, the method re-weights the empirical distribution of the outcome variable using weights that equalize the empirical distributions of the explanatory variable. Applying this method to the large black-white gap in net worth, we document a substantial difference in the estimated role of earnings differences between the two methods. Our estimates suggest that differences in earnings account for roughly two-thirds of the overall wealth gap.

(This abstract was borrowed from another version of this item.)

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: http://www.ingentaconnect.com/content/asa/jasa/2002/00000097/00000459/art00001
File Function: full text
Download Restriction: Access to full text is restricted to subscribers.

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 American Statistical Association in its journal Journal of the American Statistical Association.

Volume (Year): 97 (2002)
Issue (Month): (September)
Pages: 663-673

as
in new window

Handle: RePEc:bes:jnlasa:v:97:y:2002:m:september:p:663-673
Contact details of provider: Web page: http://www.amstat.org/publications/jasa/index.cfm?fuseaction=main

Order Information: Web: http://www.amstat.org/publications/index.html

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. Joseph G. Altonji & Ulrich Doraszelski, 2001. "The Role of Permanent Income and Demographics in Black/White Differences in Wealth," NBER Working Papers 8473, National Bureau of Economic Research, Inc.
  2. Joseph Altonji & Ulrich Doraszelski & Lewis M. Segal, 2000. "Black/white differences in wealth," Economic Perspectives, Federal Reserve Bank of Chicago, issue Q I, pages 38-50.
  3. Edward N. Wolff, . "Racial Wealth Disparities Is the Gap Closing?," Economics Public Policy Brief Archive ppb_66, Levy Economics Institute.
  4. Francine D. Blau & John W. Graham, 1989. "Black-White Differences in Wealth and Asset Composition," NBER Working Papers 2898, National Bureau of Economic Research, Inc.
  5. Edward N. Wolff, 1998. "Recent Trends in the Size Distribution of Household Wealth," Journal of Economic Perspectives, American Economic Association, vol. 12(3), pages 131-150, Summer.
  6. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
  7. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
  8. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," Review of Economic Studies, Oxford University Press, vol. 65(2), pages 261-294.
  9. Heckman, James J. & Robb, Richard Jr., 1985. "Alternative methods for evaluating the impact of interventions : An overview," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 239-267.
  10. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Oxford University Press, vol. 64(4), pages 605-654.
  11. Erik Hurst & Ming Ching Luoh & Frank P. Stafford, 1998. "The Wealth Dynamics of American Families, 1984-94," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 29(1), pages 267-338.
  12. White, Halbert, 1980. "Using Least Squares to Approximate Unknown Regression Functions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 21(1), pages 149-70, February.
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:bes:jnlasa:v:97:y:2002:m:september:p:663-673. 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: (Christopher F. Baum)

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.