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Longitudinal wealth data and multiple imputation : an evaluation study
Westermeier, Christian; Grabka, Markus M. - 2015
cross-sectional evaluation criteria. For trend estimates and the measurement of inequality, combining MICE with the row …-and-column technique regularly improves the results based on a catalogue of six evaluation criteria including three separate inequality …
Persistent link: https://www.econbiz.de/10011342931
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Longitudinal wealth data and multiple imputation : an evaluation study
Westermeier, Christian; Grabka, Markus M. - 2016
cross-sectional evaluation criteria. For trend estimates and the measurement of inequality, combining MICE with the row …-and-column technique regularly improves the results based on a catalogue of six evaluation criteria including three separate inequality …
Persistent link: https://www.econbiz.de/10011887650
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Comparing wealth : data quality of the HFCS
Tiefensee, Anita; Grabka, Markus M. - 2016
processes, the interview modes, the oversampling techniques, the unit and item non-response rates and how it is dealt with them …
Persistent link: https://www.econbiz.de/10011887651
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Comparing wealth : data quality of the HFCS
Tiefensee, Anita; Grabka, Markus M. - 2014
sampling processes, the interview modes, the oversampling techniques, the unit and item non-response rates and how itis dealt …
Persistent link: https://www.econbiz.de/10010438032
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Erkenntnisse und Probleme der Vermögensforschung auf Basis von Surveydaten
Frick, Joachim R.; Grabka, Markus M. - In: Dimensions of inequality in the EU, (pp. 151-189). 2009
Persistent link: https://www.econbiz.de/10003914200
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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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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
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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/10010324248
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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/10010324270