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https://hdl.handle.net/10419/20231
Kompletter Metadatensatz
DublinCore-Feld | Wert | Sprache |
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dc.contributor.author | Paserman, Marco Daniele | en |
dc.date.accessioned | 2009-01-28T16:12:35Z | - |
dc.date.available | 2009-01-28T16:12:35Z | - |
dc.date.issued | 2004 | - |
dc.identifier.uri | http://hdl.handle.net/10419/20231 | - |
dc.description.abstract | This paper describes a semiparametric Bayesian method for analyzing duration data. Theproposed estimator specifies a complete functional form for duration spells, but allowsflexibility by introducing an individual heterogeneity term, which follows a Dirichlet mixturedistribution. I show how to obtain predictive distributions for duration data that correctlyaccount for the uncertainty present in the model. I also directly compare the performance ofthe proposed estimator with Heckman and Singer's (1984) Non Parametric MaximumLikelihood Estimator (NPMLE). The methodology is applied to the analysis of youthunemployment spells. Compared to the NPMLE, the proposed estimator reflects moreaccurately the uncertainty surrounding the heterogeneity distribution. | en |
dc.language.iso | eng | en |
dc.publisher | |aInstitute for the Study of Labor (IZA) |cBonn | en |
dc.relation.ispartofseries | |aIZA Discussion Papers |x996 | en |
dc.subject.jel | C41 | en |
dc.subject.jel | C11 | en |
dc.subject.ddc | 330 | en |
dc.subject.keyword | duration data | en |
dc.subject.keyword | Dirichlet process | en |
dc.subject.keyword | Bayesian inference | en |
dc.subject.keyword | Markov chain Monte Carlo simulation | en |
dc.subject.stw | Statistische Bestandsanalyse | en |
dc.subject.stw | Nichtparametrisches Verfahren | en |
dc.subject.stw | Bayes-Statistik | en |
dc.subject.stw | Maximum-Likelihood-Methode | en |
dc.subject.stw | Schätzung | en |
dc.subject.stw | Jugendarbeitslosigkeit | en |
dc.subject.stw | Theorie | en |
dc.subject.stw | Vereinigte Staaten | en |
dc.title | Bayesian inference for duration data with unobserved and unknown heterogeneity : Monte Carlo evidence and an application | - |
dc.type | Working Paper | en |
dc.identifier.ppn | 378234463 | en |
dc.rights | http://www.econstor.eu/dspace/Nutzungsbedingungen | en |
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