Spatial Quantile Regression In Analysis Of Healthy Life Years In The European Union Countries

Trzpiot, Grażyna; Orwat-Acedańska, Agnieszka

dc.contributor.author	Trzpiot, Grażyna	en
dc.contributor.author	Orwat-Acedańska, Agnieszka	en
dc.date.accessioned	2017-02-23T08:00:22Z
dc.date.available	2017-02-23T08:00:22Z
dc.date.issued	2017-02-08	en
dc.identifier.issn	1508-2008	en
dc.identifier.uri	http://hdl.handle.net/11089/20681
dc.description.abstract	The paper investigates the impact of the selected factors on the healthy life years of men and women in the EU countries. The multiple quantile spatial autoregression models are used in order to account for substantial differences in the healthy life years and life quality across the EU members. Quantile regression allows studying dependencies between variables in different quantiles of the response distribution. Moreover, this statistical tool is robust against violations of the classical regression assumption about the distribution of the error term. Parameters of the models were estimated using instrumental variable method (Kim, Muller 2004), whereas the confidence intervals and p-values were bootstrapped.	en
dc.publisher	Wydawnictwo Uniwersytetu Łódzkiego	en
dc.relation.ispartofseries	Comparative Economic Research;19	en
dc.rights	This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.	en
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0	en
dc.subject	quantile regression	en
dc.subject	multiple spatial quantile autoregression	en
dc.subject	spatial analysis	en
dc.subject	healthy life years	en
dc.title	Spatial Quantile Regression In Analysis Of Healthy Life Years In The European Union Countries	en
dc.page.number	179-199	en
dc.contributor.authorAffiliation	Trzpiot, Grażyna - Full Professor, Department of Demography and Economic Statistics, Faculty of Informatics and Communication, University of Economics in Katowice, Poland	en
dc.contributor.authorAffiliation	Orwat-Acedańska, Agnieszka - Department of Demography and Economic Statistics, Faculty of Informatics and Communication, University of Economics in Katowice, Poland	en
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dc.contributor.authorEmail	Trzpiot, Grażyna - trzpiot@ue.katowice.pl	en
dc.contributor.authorEmail	Orwat-Acedańska, Agnieszka - agnieszka.orwat@ue.katowice.pl	en
dc.identifier.doi	10.1515/cer-2016-0044	en

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