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dc.contributor.authorFrick, Joachim R.en_US
dc.contributor.authorGrabka, Markus M.en_US
dc.date.accessioned2007-11-22en_US
dc.date.accessioned2009-08-06T13:19:19Z-
dc.date.available2009-08-06T13:19:19Z-
dc.date.issued2007en_US
dc.identifier.urihttp://hdl.handle.net/10419/27260-
dc.description.abstractUsing 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 error on prototypical analyses (earnings inequality, mobility and wage regressions) in a cross-national setting. Given the considerable variation of INR across surveys as well as the varying degree of selectivity build into the missing process, there is substantive and methodological interest in an improved harmonization of (income) data production as well as of imputation strategies across surveys. All three panels make use of longitudinal information in their respective imputation procedures, however, there are marked differences in the implementation. Firstly, although the probability of INR is quantitatively similar across countries, our empirical investigation identifies cross-country differences with respect to the factors driving INR: survey-related aspects as well as indicators accounting for variability and complexity of labor income composition appear to be relevant. Secondly, longitudinal analyses yield a positive correlation of INR on labor income data over time and provide evidence of INR being a pre-dictor of subsequent unit-non-response, thus supporting the cooperation continuum hy-pothesis in all three panels. Thirdly, applying various mobility indicators there is a robust picture about earnings mobility being significantly understated using information from completely observed cases only. Finally, regression results for wage equations based on observed (complete case analysis) vs. all cases and controlling for imputation status, indicate that individuals with imputed incomes, ceteris paribus, earn significantly above average in SOEP and HILDA, while this relationship is negative using BHPS data. However, once applying the very same imputation procedure used for HILDA and SOEP, namely the row-and-column-imputation approach suggested by Little & Su (1989), also to BHPS-data, this result is reversed, i.e., individuals in the BHPS whose income has been imputed earn above average as well. In our view, the reduction in cross-national variation resulting from sensitivity to the choice of imputation approaches underscores the importance of investing more in the improved cross-national harmonization of imputation techniques.en_US
dc.language.isoengen_US
dc.publisherDeutsches Institut für Wirtschaftsforschung (DIW) Berlinen_US
dc.relation.ispartofseriesDIW Discussion Papers 736en_US
dc.subject.jelJ31en_US
dc.subject.jelC81en_US
dc.subject.jelD33en_US
dc.subject.ddc330en_US
dc.subject.keywordItem non-responseen_US
dc.subject.keywordimputationen_US
dc.subject.keywordincome inequalityen_US
dc.subject.keywordincome mobilityen_US
dc.subject.keywordpanel dataen_US
dc.subject.keywordSOEPen_US
dc.subject.keywordBHPSen_US
dc.subject.keywordHILDAen_US
dc.subject.stwLohnen_US
dc.subject.stwHaushaltseinkommenen_US
dc.subject.stwStatistische Erhebungen_US
dc.subject.stwPanelen_US
dc.subject.stwBefragungen_US
dc.subject.stwStatistischer Fehleren_US
dc.subject.stwEinkommensverteilungen_US
dc.subject.stwSoziale Mobilitäten_US
dc.subject.stwDeutschlanden_US
dc.subject.stwGroßbritannienen_US
dc.subject.stwAustralienen_US
dc.titleItem non-response and imputation of annual labor income in panel surveys from a cross-national Perspectiveen_US
dc.typeWorking Paperen_US
dc.identifier.ppn550069836en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
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