- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Measurement error in longitudinal earnings data: evidence from Germany ; volume:58 ; number:1 ; day:4 ; month:6 ; year:2024 ; pages:1-31 ; date:12.2024
Journal for labour market research ; 58, Heft 1 (4.6.2024), 1-31, 12.2024
- Classification
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Wirtschaft
- Creator
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12651-024-00366-x
- URN
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urn:nbn:de:101:1-2408112128166.676955044803
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:58 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Schmillen, Achim
- Umkehrer, Matthias
- Wachter, Till von
- SpringerLink (Online service)
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Patterns and impact of longitudinal measurement error for welfare receipt
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Are earnings inequality and mobility overstated? The impact of non-classical measurement error
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Returning to work from injury: longitudinal evidence on employment and earnings
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SOEP-IS 2014 - Separating systematic measurement error components using MTMM in longitudinal studies
SOEP-IS 2014 - Separating systematic measurement error components using MTMM in longitudinal studies
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Earnings Management and Measurement Error
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Patterns and impact of longitudinal measurement error for welfare receipt
Patterns and impact of longitudinal measurement error for welfare receipt
Are earnings inequality and mobility overstated? The impact of non-classical measurement error
Are earnings inequality and mobility overstated? The impact of non-classical measurement error
Immigrant earnings: a longitudinal analysis
Returning to work from injury: longitudinal evidence on employment and earnings
Welfare measurement and measurement error
SOEP-IS 2014 - Separating systematic measurement error components using MTMM in longitudinal studies