Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/184421 
Year of Publication: 
2016
Citation: 
[Journal:] Comparative Economic Research. Central and Eastern Europe [ISSN:] 2082-6737 [Volume:] 19 [Issue:] 5 [Publisher:] De Gruyter [Place:] Warsaw [Year:] 2016 [Pages:] 179-199
Publisher: 
De Gruyter, Warsaw
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.
Subjects: 
quantile regression
multiple spatial quantile autoregression
spatial analysis
healthy life years
Persistent Identifier of the first edition: 
Creative Commons License: 
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Document Type: 
Article

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