Simple non-parametric estimators for unemployment duration analysis

Kurzanzeige
dc.contributor.authorWichert, Laura
dc.contributor.authorWilke, Ralf Andreasdeu
dc.date.accessioned2011-03-23T09:32:22Zdeu
dc.date.available2011-03-23T09:32:22Zdeu
dc.date.issued2008deu
dc.description.abstractWe 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.eng
dc.description.versionpublished
dc.identifier.citationJournal of the Royal Statistical Society ; 57 (2008), 1. - S. 117-126deu
dc.identifier.doi10.1111/j.1467-9876.2008.00604.x
dc.identifier.urihttp://kops.uni-konstanz.de/handle/123456789/1737
dc.language.isoengdeu
dc.legacy.dateIssued2010deu
dc.rightsterms-of-usedeu
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/deu
dc.subjectArbeitslosigkeitsdauerdeu
dc.subjectIAB-Beschäftigtenstichprobedeu
dc.subjectSchätzungdeu
dc.subjectMethodedeu
dc.subject.ddc330deu
dc.titleSimple non-parametric estimators for unemployment duration analysiseng
dc.typeJOURNAL_ARTICLEdeu
dspace.entity.typePublication
kops.citation.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}
}
kops.citation.iso690WICHERT, 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.xdeu
kops.citation.iso690WICHERT, 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.xeng
kops.citation.rdf
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/1737">
    <dc:rights>terms-of-use</dc:rights>
    <dc:creator>Wichert, Laura</dc:creator>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/35"/>
    <dcterms:bibliographicCitation>Journal of the Royal Statistical Society ; 57 (2008), 1. - S. 117-126</dcterms:bibliographicCitation>
    <dc:creator>Wilke, Ralf Andreas</dc:creator>
    <dcterms:title>Simple non-parametric estimators for unemployment duration analysis</dcterms:title>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-23T09:32:22Z</dc:date>
    <dc:language>eng</dc:language>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/35"/>
    <dcterms:issued>2008</dcterms:issued>
    <dcterms:abstract xml:lang="eng">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.</dcterms:abstract>
    <dc:contributor>Wilke, Ralf Andreas</dc:contributor>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-23T09:32:22Z</dcterms:available>
    <dc:contributor>Wichert, Laura</dc:contributor>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/1737"/>
  </rdf:Description>
</rdf:RDF>
kops.flag.knbibliographytrue
kops.identifier.nbnurn:nbn:de:bsz:352-opus-106499deu
kops.opus.id10649deu
kops.sourcefieldJournal of the Royal Statistical Society : Series C (Applied Statistics). 2008, <b>57</b>(1), pp. 117-126. eISSN 1467-9876. Available under: doi: 10.1111/j.1467-9876.2008.00604.xdeu
kops.sourcefield.plainJournal 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.xdeu
kops.sourcefield.plainJournal 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.xeng
relation.isAuthorOfPublication8d043c11-9c3a-437b-9675-03126a4000d1
relation.isAuthorOfPublication.latestForDiscovery8d043c11-9c3a-437b-9675-03126a4000d1
source.bibliographicInfo.fromPage117
source.bibliographicInfo.issue1
source.bibliographicInfo.toPage126
source.bibliographicInfo.volume57
source.identifier.eissn1467-9876
source.periodicalTitleJournal of the Royal Statistical Society : Series C (Applied Statistics)

Dateien

Sammlungen

Sportwissenschaft: Publikationen