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dc.contributor.authorGrzenda, Wioletta
dc.date.accessioned2013-06-04T17:39:32Z
dc.date.available2013-06-04T17:39:32Z
dc.date.issued2012
dc.identifier.issn0208-6018
dc.identifier.urihttp://hdl.handle.net/11089/1896
dc.description.abstractThe primary objective of the work is to identify demographic and socio-economic factors influencing the unemployment duration in the recent period in Poland. Different approaches to the problem have been applied. In this paper we have used a survival parametric model in Bayesian approach. The following determinants have been concerned in the model: sex, marital status, education level, information about continuing an education, region of Poland, and age of respondent. The empirical analysis is based on “Household budgets in 2008” survey of Central Statistical Office and indicates the main factors influencing unemployment duration.pl_PL
dc.language.isoenpl_PL
dc.publisherWydawnictwo Uniwersytetu Łódzkiegopl_PL
dc.relation.ispartofseriesActa Universitatis Lodziensis, Folia Oeconomica;269
dc.subjectunemploymentpl_PL
dc.subjectsurvival exponential modelpl_PL
dc.subjectBayesian inferencepl_PL
dc.subjectMCMC methodpl_PL
dc.titleBayesian Exponential Survival Model in the Analysis of Unemployment Duration Determinantspl_PL
dc.title.alternativeBayesowski wykładniczy model przeżycia w analizie determinant długości czasu pozostawania bez pracypl_PL
dc.typeArticlepl_PL
dc.page.number191-196
dc.contributor.authorAffiliationSzkoła Główna Handlowa w Warszawie; Kolegium Analiz Ekonomicznych; Instytut Statystyki i Demografii


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