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Measuring the consistency of cross‐sectional and longitudinal income information in EU‐SILC
Krell, Kristina; Frick, Joachim R.; Grabka, Markus M. - In: The review of income and wealth : journal of the … 63 (2017) 1, pp. 30-52
Persistent link: https://www.econbiz.de/10011817954
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Item nonresponse on income questions in panel surveys: incidence, imputation and the impact on inequality and mobility
Frick, Joachim R.; Grabka, Markus M. - In: Allgemeines statistisches Archiv : AStA ; journal of … 89 (2005) 1, pp. 49-61
Persistent link: https://www.econbiz.de/10002629777
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Item non-response and imputation of annual labor income in panel surveys from a cross-national Perspective
Frick, Joachim R. (contributor);  … - 2007
Persistent link: https://www.econbiz.de/10003577714
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Item non-response and imputation of annual labor income in panel surveys from a cross-national perspective
Frick, Joachim R. (contributor);  … - 2007
Using data on annual individual labor income from three representative panel datasets (German SOEP, British BHPS, Australian HILDA) we investigate a) the selectivity of item non-response (INR) and b) the impact of imputation as a prominent post-survey means to cope with this type of measurement...
Persistent link: https://www.econbiz.de/10003561621
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A tale of two data sets : comparing German administrative and survey data using wage inequality as an example
Stüber, Heiko; Grabka, Markus M.; Schnitzlein, Daniel D. - In: Journal for labour market research 57 (2023) 1, pp. 1-18
The IAB’s Sample of Integrated Labour Market Biographies (SIAB) and the Socio-Economic Panel (SOEP) are the two data sets most commonly used to analyze wage inequality in Germany. While the SIAB is based on administrative reports by employers to the social security system, the SOEP is a survey...
Persistent link: https://www.econbiz.de/10014430034
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Item non-response and imputation of annual labor income in panel surveys from a cross-national perspective
Frick, Joachim R.; Grabka, Markus M. - 2007
Using data on annual individual labor income from three representative panel datasets (German SOEP, British BHPS, Australian HILDA) we investigate a) the selectivity of item non-response (INR) and b) the impact of imputation as a prominent post-survey means to cope with this type of measurement...
Persistent link: https://www.econbiz.de/10011630557