Correcting for misreporting of government benefits

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985998%3A_____%2F19%3A00517848" target="_blank" >RIV/67985998:_____/19:00517848 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11640/19:00504954
Result on the web
<a href="http://dx.doi.org/10.1257/pol.20160618" target="_blank" >http://dx.doi.org/10.1257/pol.20160618</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1257/pol.20160618" target="_blank" >10.1257/pol.20160618</a>

Result language
angličtina
Original language name
Correcting for misreporting of government benefits
Original language description
Data linkage studies often document, but do not remedy, severe survey errors. To improve survey estimates despite restricted linked data access, this paper develops a convenient and general estimation method that combines public use data with conditional distribution parameters estimated from linked data. Analyses using linked SNAP data show that this method sharply improves estimates and consistently outperforms corrections that mainly rely on survey data. Yet, some univariate corrections perform well when linked data do not exist. For SNAP, extrapolating from linked data across time and geography still improves upon estimates using survey data only, even after survey-based corrections.
Czech name
—
Czech description
—

Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
50202 - Applied Economics, Econometrics

Project
<a href="/en/project/GJ16-07603Y" target="_blank" >GJ16-07603Y: The Causes and Consequences of Survey Misreporting: Evidence From Linked Administrative Data</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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