What did you really earn last year?: explaining measurement error in survey income data
| Autor: | Angel, Stefan, Disslbacher, Franziska, Humer, Stefan, Schnetzer, Matthias |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
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| Druh dokumentu: | Paper |
| DOI: | 10.1111/rssa.12463 |
| Popis: | This paper analyses the sources of income measurement error in surveys with a unique dataset.We use the Austrian 2008-2011 waves of EU-SILC which provide individual information on wages,pensions and unemployment benefits from survey interviews and officially linked administrativerecords. Thus, we do not have to fall back on complex two-sample matching procedures likerelated studies. We empirically investigate four sources of measurement error, namely (i) socialdesirability, (ii) socio-demographic characteristics of the respondent, (iii) the survey design, and(iv) the presence of learning effects. We find strong evidence for a social desirability bias inincome reporting, while the presence of learning effects is mixed and depends on the income typeunder consideration. An Owen value decomposition reveals that social desirability is a majorexplanation of misreporting in wages and pensions, whereas socio-demographic characteristicsare most relevant for mismatches in unemployment benefits. Series: INEQ Working Paper Series |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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