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Working
Paper Series:
08.01
Reporting Bias in Studies of the Food Stamp Program
Bruce D. Meyer and James X. Sullivan
http://www.harrisschool.uchicago.edu/faculty/web-pages/bruce-meyer.asp
Abstract:
Benefit receipt in major household surveys is often underreported. This understatement
has major implications for our understanding of the economic circumstances of
disadvantaged populations and the distributional effects of government programs. This
paper examines underreporting of food stamps by combining administrative microdata
for the Food Stamp Program (FSP) and nationally representative survey data. We
provide a new econometric method for estimating the determinants of reporting that uses
two data sources with overlapping demographic characteristics rather than requiring
matched individual data. This method compares the characteristics of those who report
receipt in the survey to the characteristics of recipients in the administrative data to
determine the influence of those characteristics on reporting. Our estimates using this
two sample estimation procedure indicate that observable characteristics are related to
underreporting. We then show how these results can be used to correct for
underreporting bias in studies of FSP participation or the distributional effects of the FSP.
Our results also have implications for studies that use FSP receipt as an explanatory
variable.
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