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On the reliability of retrospective unemployment information in European household panel data
Kyyrä, Tomi; Wilke, Ralf A. - In: Empirical economics : a journal of the Institute for … 46 (2014) 4, pp. 1473-1493
Persistent link: https://www.econbiz.de/10010357908
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On the Reliability of Retrospective Unemployment Information in European Household Panel Data
Kyyrä, Tomi; Wilke, Ralf A. - 2011
The retrospectively recalled calendar of activities in the European Community Household Panel is a prime resource for … cross country analysis of unemployment experience. We investigate the reliability of these data and find that 26% of … unemployed respondents misreported retrospectively their unemployment status in the subsequent interview. We observe large …
Persistent link: https://www.econbiz.de/10014185162
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Exploring the puzzle of human reproduction : register data based evidence from France and Germany
Lipowski, Cäcilia; Wilke, Ralf A.; Koebel, Bertrand M. - 2020
Birth rates differ strongly across European states, https://madoc.bib.uni-mannheim.de/55902despite the deep economic harmonisation process related to European integration. This study uses large scale administrative data from France and Germany to analyse and directly compare fertility patterns...
Persistent link: https://www.econbiz.de/10012222196
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Estimation of Group Structures in Panel Models with Individual Fixed Effects
Mammen, Enno; Wilke, Ralf A.; Zapp, Kristina - 2022
The fixed effects (FE) panel model is one of the main econometric tools in empirical economic research. A major … to grouping FE in the linear panel model to reduce their dimensionality and ensure identifiability. By using unsupervised … than conventional panel models …
Persistent link: https://www.econbiz.de/10014080090
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Estimation of group structures in panel models with individual fixed effects
Mammen, Enno; Wilke, Ralf A.; Zapp, Kristina Maria - 2022
The fixed effects (FE) panel model is one of the main econometric tools in empirical economic research. A major … to grouping FE in the linear panel model to reduce their dimensionality and ensure identifiability. By using unsupervised … than conventional panel models. …
Persistent link: https://www.econbiz.de/10013276027
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New Insights on Unemployment Duration andPost Unemployment Earnings in Germany:Censored Box-Cox Quantile Regression at Work
Fitzenberger, Bernd; Wilke, Ralf A. - Forschungsinstitut zur Zukunft der Arbeit <Bonn> - 2007
periods and the size of unemployment benefits on unemploymentdurations and post-unemployment earnings in West Germany... …
Persistent link: https://www.econbiz.de/10005863253
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Unemployment Duration in the UnitedKingdom: An Incomplete Data Approach
Wilke, Ralf A. - University <Nottingham> / Department of Economics - 2009
data from the UK (JUVOS) for the analysis of unemployment duration. Variantsof the JUVOS are used by the labour … administration and the research community as animportant source for the analysis of unemployment. While previous work has mentioned …
Persistent link: https://www.econbiz.de/10005868566
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A copula model for dependentcompeting risks
Lo, Simon M. S.; Wilke, Ralf A. - University <Nottingham> / Department of Economics - 2009
Many popular estimators for duration models require independent competing risks orindependent censoring. In contrast, copula based estimators are also consistent in presence ofdependent competing risks. In this paper we suggest a computationally convenient extensionof the Copula Graphic...
Persistent link: https://www.econbiz.de/10005868567
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Eine empirische Analyse von Sanktionen für Arbeitslose in Westdeutschland während der 1980er und 1990er Jahre
Wilke, Ralf A. - 2003
This paper describes some empirical phenomena about sanctions in the unemployment compensation system in Germany using …
Persistent link: https://www.econbiz.de/10011448893
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Fixing the leak : unemployment incidence before and after a major reform of unemployment benefits in Germany
Dlugosz, Stephan; Stephan, Gesine; Wilke, Ralf A. - In: German economic review 15 (2014) 3, pp. 329-352
Persistent link: https://www.econbiz.de/10010499724