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What leads to measurement errors? Evidence from reports of program participation in three surveys

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    SYSNO ASEP0585322
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleWhat leads to measurement errors? Evidence from reports of program participation in three surveys
    Author(s) Celhay, P. A. (CL)
    Meyer, B. D. (US)
    Mittag, Nikolas (NHU-C)
    Article number105581
    Source TitleJournal of Econometrics. - : Elsevier - ISSN 0304-4076
    Roč. 238, č. 2 (2024)
    Number of pages19 s.
    Languageeng - English
    CountryNL - Netherlands
    Keywordsmeasurement error ; welfare programs ; survey methods
    OECD categoryEconomic Theory
    R&D ProjectsGJ16-07603Y GA ČR - Czech Science Foundation (CSF)
    GA20-27317S GA ČR - Czech Science Foundation (CSF)
    Method of publishingOpen access
    Institutional supportNHU-C - Cooperatio-COOP
    UT WOS001129514300001
    EID SCOPUS85178438464
    DOI10.1016/j.jeconom.2023.105581
    AnnotationMeasurement errors are often a large source of bias in survey data. Lack of knowledge of the determinants of such errors makes it difficult to reduce the extent of errors when collecting data and to assess the validity of analyses using the data. We study the determinants of reporting error using high quality administrative data on government transfers linked to three major U.S. surveys. Our results support several theories of misreporting: Errors are related to event recall, forward and backward telescoping, salience of receipt, the stigma of reporting participation in welfare programs and respondent's degree of cooperation with the survey overall. We provide evidence on how survey design choices affect reporting errors. Our findings help survey users to gauge the reliability of their data and to devise estimation strategies that can correct for systematic errors, such as instrumental variable approaches. Understanding survey errors allows researchers collecting survey data to reduce them by improving survey design. Our results indicate that survey design should take into account that higher response rates as well as collecting more detailed information may have negative effects on survey accuracy.
    WorkplaceEconomics Institute - CERGE
    ContactTomáš Pavela, pavela@cerge-ei.cz, Tel.: 224 005 122
    Year of Publishing2025
    Electronic addresshttps://doi.org/10.1016/j.jeconom.2023.105581
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