IDEAS home Printed from https://ideas.repec.org/p/att/wimass/9310.html
   My bibliography  Save this paper

Modeling Food Stamp Participation in the Presence of Reporting Errors

Author

Listed:
  • Bollinger, C.R.
  • David, M.H.

Abstract

Validation study of reported program participation by Marquis and Moore (1990) reveals a bias due to net under-reporting of Food Stamp Program participation of 13% (Wave 1-2 data from the 1984 Survey of Income and Program Participation). We extend that analysis conditioning on demographic and economic covariates. The resulting model of over- and under-reporting is included in MLE of the probability of Food Stamp Program participation (David and MacDonald 1992). Survey response and administrative data are aggregated to families in this analysis. Response error associated with screening questions is partitioned from response errors in questions contingent on the screener. Under-reporting is modeled by probit analysis on demographic and economic variables using conceptual insights from cognitive research and economic theory. Aggregation of reports to families eliminates apparent errors associated with discrepancies in identifying the individual certified to receive Food Stamps and multiple reporting of recipiency for a family group. The probability of under-reporting Food Stamp recipiency increases with family income normalized by family size. Other results are less stable across interviews, and have greater sampling errors. Women are better reporters than men, and married couples are more reliable than single householders.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Bollinger, C.R. & David, M.H., 1993. "Modeling Food Stamp Participation in the Presence of Reporting Errors," Working papers 9310, Wisconsin Madison - Social Systems.
  • Handle: RePEc:att:wimass:9310
    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.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Christopher R. Bollinger & Amitabh Chandra, 2005. "Iatrogenic Specification Error: A Cautionary Tale of Cleaning Data," Journal of Labor Economics, University of Chicago Press, vol. 23(2), pages 235-258, April.
    2. Bruce D. Meyer & James X. Sullivan, 2003. "Measuring the Well-Being of the Poor Using Income and Consumption," NBER Working Papers 9760, National Bureau of Economic Research, Inc.
    3. Bollinger, Christopher R., 1996. "Bounding mean regressions when a binary regressor is mismeasured," Journal of Econometrics, Elsevier, vol. 73(2), pages 387-399, August.

    More about this item

    Keywords

    econometrics;

    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:att:wimass:9310. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ailsenne Sumwalt (email available below). General contact details of provider: .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.