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Simple nonparametric estimators for unemployment duration analysis
Einfache nicht-parametrische Schätzfunktion zur Analyse der Arbeitslosigkeitsdauer
[working paper]
Corporate Editor
Institut für Arbeitsmarkt- und Berufsforschung der Bundesagentur für Arbeit (IAB) Forschungsdatenzentrum (FDZ)
Abstract "We consider an extension of conventional univariate Kaplan-Meier type estimators for the hazard rate and the survivor function to multivariate censored data with a censored random regressor. It is an Akritas (1994) type estimator which adapts the nonparametric conditional hazard rate estimator of B... view more
"We consider an extension of conventional univariate Kaplan-Meier type estimators for the hazard rate and the survivor function to multivariate censored data with a censored random regressor. It is an Akritas (1994) type estimator which adapts the nonparametric conditional hazard rate estimator of Beran (1981) to more typical data situations in applied analysis. We show with simulations that the estimator has nice finite sample properties and our implementation appears to be fast. As an application we estimate nonparametric conditional quantile functions with German administrative unemployment duration data." (author's abstract)... view less
Keywords
unemployment; duration; estimation; method; Federal Republic of Germany
Classification
Labor Market Research
Method
empirical; quantitative empirical; basic research; development of methods
Document language
English
Publication Year
2007
City
Nürnberg
Page/Pages
19 p.
Series
FDZ Methodenreport, 9/2007
Status
Published Version; reviewed
Licence
Deposit Licence - No Redistribution, No Modifications
Data providerThis metadata entry was indexed by the Special Subject Collection Social Sciences, USB Cologne