Modeling discrete choice with response error: Food stamp participation

Christopher R. Bollinger, Martin H. David

Research output: Contribution to journalArticlepeer-review

108 Scopus citations

Abstract

Validation of Food Stamp program participation by Marquis and Moore revealed net bias of 13% in mean estimates of participation in the 1984 Survey of Income and Program Participation. We extend the analysis, incorporating demographic and economic covariates in models for underreporting and overreporting. We use the resulting models of response error to refine estimates of participation models using pseudo-maximum likelihood estimation methods. We find that the probability of underreporting rises with increased family income. Estimates of the participation model indicate the presence of substantial bias in income- and asset-related parameters compared to values obtained without incorporating response error.

Original languageEnglish
Pages (from-to)827-835
Number of pages9
JournalJournal of the American Statistical Association
Volume92
Issue number439
DOIs
StatePublished - Sep 1 1997

Keywords

  • Measurement error
  • Probit
  • Pseudo maximum likelihood
  • SIPP

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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