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Correcting for misreporting of government benefits

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985998%3A_____%2F16%3A00463769" target="_blank" >RIV/67985998:_____/16:00463769 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Correcting for misreporting of government benefits

  • Original language description

    Recent validation studies show that survey misreporting is pervasive and biases commonnanalyses. Addressing this problem is further complicated, because validation data are usuallynconvenience samples and access is restricted, making them more suitable to document thannto solve the problem. I first use administrative SNAP records linked to survey data to evaluatencorrections for misreporting that have been applied to survey data. Second, I develop anmethod that combines public use data with an estimated conditional distribution from thenvalidation data. It does not require access to the validation data, is simple to implement andnapplicable to a wide range of econometric models. Using the validation data, I show that thisnmethod improves upon both the survey data and the other corrections, particularly fornmultivariate analyses. Some survey-based corrections also yield large error reductions, whichnmakes them attractive alternatives when validation data do not exist. Finally, I examinenwhether estimates can be improved based on similar validation data, to mitigate that thenpopulation of interest is rarely validated. For SNAP, I provide evidence that extrapolationnusing the method developed here improves over survey data and corrections withoutnvalidation data. Deviations from the geographic distribution of program spending are oftennreduced by a factor of 5 or more. The results suggest substantial differences in programneffects, such as reducing the poverty rate by almost one percentage point more, a 75 percentnincrease over the survey estimate.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů