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Simple non-parametric estimators for unemployment duration analysis

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2008

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Wilke, Ralf Andreas

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http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-106499
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https://doi.org/10.1111/j.1467-9876.2008.00604.x
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Journal of the Royal Statistical Society : Series C (Applied Statistics). 2008, 57(1), pp. 117-126. eISSN 1467-9876. Available under: doi: 10.1111/j.1467-9876.2008.00604.x

Zusammenfassung

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.

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Fachgebiet (DDC)
330 Wirtschaft

Schlagwörter

Arbeitslosigkeitsdauer, IAB-Beschäftigtenstichprobe, Schätzung, Methode

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ISO 690WICHERT, Laura, Ralf Andreas WILKE, 2008. Simple non-parametric estimators for unemployment duration analysis. In: Journal of the Royal Statistical Society : Series C (Applied Statistics). 2008, 57(1), pp. 117-126. eISSN 1467-9876. Available under: doi: 10.1111/j.1467-9876.2008.00604.x
BibTex
@article{Wichert2008Simpl-1737,
  year={2008},
  doi={10.1111/j.1467-9876.2008.00604.x},
  title={Simple non-parametric estimators for unemployment duration analysis},
  number={1},
  volume={57},
  journal={Journal of the Royal Statistical Society : Series C (Applied Statistics)},
  pages={117--126},
  author={Wichert, Laura and Wilke, Ralf Andreas}
}
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