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

Author

Listed:
  • Trzpiot Grażyna

    (Full Professor, Department of Demography and Economic Statistics, Faculty of Informatics and Communication, University of Economics in Katowice, Poland)

  • Orwat-Acedańska Agnieszka

    (Department of Demography and Economic Statistics, Faculty of Informatics and Communication, University of Economics in Katowice, Poland)

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.

Suggested Citation

  • Trzpiot Grażyna & Orwat-Acedańska Agnieszka, 2016. "Spatial Quantile Regression In Analysis Of Healthy Life Years In The European Union Countries," Comparative Economic Research, Sciendo, vol. 19(5), pages 179-199, December.
    • Handle: RePEc:vrs:coecre:v:19:y:2016:i:5:p:179-199:n:10
    DOI: 10.1515/cer-2016-0044
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    References listed on IDEAS

    as
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