Spatial Quantile Regression in Analysis of Mortality

• Autorzy: Grażyna Trzpiot , Agnieszka Orwat-Acedańska

Warianty tytułu

Przestrzenna regresja kwantylowa w analizie umieralności

• Języki publikacji: EN

Abstrakty

EN

The paper concerns mortality in Poland. The aim of the article is to identify factors determining average life length of men and women in 66 subregions of Poland. We use spatial quantile regression methodology which 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 multidimensional distribution of error term. (original abstract)

Artykuł podejmuje problem analizy umieralności w Polsce. Celem pracy jest badanie wpływu wybranych czynników na średnią długość życia kobiet i mężczyzn w 66 podregionach Polski. Stosujemy modele kwantylowej autoregresji przestrzennej. W analizie wykorzystujemy metodologię wielorakiej regresji kwantylowej, która umożliwia analizę zależności pomiędzy zmiennymi w różnych kwantylach Rozkładu zmiennej niezależnej. Ponadto narzędzie to jest odporne na założenie klasycznej regresji dotyczące postaci wielowymiarowego rozkładu składnika losowego. (abstrakt oryginalny)

Słowa kluczowe

EN

Mortality; Life expectancy; Mathematical model of mortality; Quantile regression; Spatial analysis

PL

Umieralność; Długość życia; Matematyczne modele umieralności; Regresja kwantylowa; Analiza przestrzenna

• Czasopismo: Acta Universitatis Lodziensis. Folia Oeconomica
• Rocznik: 2016
• Numer: vol. 5, t. 325
• Strony: 181--196

Twórcy

autor

Grażyna Trzpiot

• University of Economics in Katowice, Poland

autor

Agnieszka Orwat-Acedańska

• University of Economics in Katowice, Poland

Bibliografia

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Identyfikatory

DOI

11089/21746