The classification of spatial quantile regression models for healthy life years in European countries - Lower Silesian Digital Library

Skip to main menu
Skip to search engine
Skip to content
Skip to footer

The classification of spatial quantile regression models for healthy life years in European countries

Download

Title: The classification of spatial quantile regression models for healthy life years in European countries

Creator:

Trzpiot, Grażyna ; Orwat-Acedańska, Agnieszka

Description:

Argumenta Oeconomica, 2019, Nr 2 (43), s. 115-136

Abstrakt:

EU countries are heterogeneous in terms of healthy life years (HLY). A quantile spatial autoregression model is employed to identify the factors affecting HLY. Quantile regression allows to measure the impact of covariates on different parts of the conditional distribution of a dependent variable. This is especially useful if the distribution is asymmetric or trimmed. Quantile spatial autoregression models add the spatial dimension to the standard quantile regressions. The aims of the study are as follows: identification of the factors affecting healthy life years of men and women in the EU countries, and clustering of the estimates obtained for the different quantile orders. We analyze to what extent spatial quantile regression can be useful in studying the behavior of HLY. We use exogenous factors belonging to three groups: socio-economic, healthcare and lifestyle. After initial estimation of the models for 19 quantile orders, the insignificant factors are removed and the remaining parameters are re-estimated. The final estimates are then clustered to facilitate the interpretation of the results. Instrumental variables method coupled with bootstrap techniques are employed for estimation and inference while the k-means algorithm is used for clustering. We find that the impact of the factors on HLY varies for different quantile orders. In general, the quantiles of low and medium orders are affected by the factors from all the three groups (socio-economic, healthcare and lifestyle). For the medium and high orders, the socio-economic factors are no longer important. We argue that the spatial quantile autoregression models offer a new perspective for studying the factors affecting HLY in the EU countries

Publisher:

Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu

Place of publication:

Date:

Resource Type:

Resource Identifier:

doi:10.15611/aoe.2019.2.05 ; oai:dbc.wroc.pl:73314

Language:

Relation:

Argumenta Oeconomica, 2019, Nr 2 (43)

Rights:

Wszystkie prawa zastrzeżone (Copyright)

Access Rights:

Dla wszystkich w zakresie dozwolonego użytku

Location:

Uniwersytet Ekonomiczny we Wrocławiu

Group publication title:

Argumenta Oeconomica

Subject and keywords:

healthy life years multivariate spatial quantile autoregression quantile regression

Object collections:

Last modified:

May 26, 2022

In our library since:

Nov 15, 2019

Number of object content hits:

398

All available object's versions:

https://dbc.wroc.pl./publication/141939

Show description in RDF format:

Show description in OAI-PMH format:

Argumenta Oeconomica

Edition name	Date
The classification of spatial quantile regression models for healthy life years in European countries	May 26, 2022

Similar

Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu

Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu

The Classification of Polish Mutual Balanced Funds Based on the Management Style - Quantile Regression Approach

Orwat-Acedańska, Agnieszka Trzpiot, Grażyna

2011

artykuł

Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu

Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu

Analiza zależności między procesami fundamentalnymi a rynkiem kapitałowym w Chinach

Osińska, Magdalena Fałdziński, Marcin Zdanowicz, Tomasz

2013

artykuł

Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu

Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu

Odporna analiza szeregów czasowych

Trzpiot, Grażyna

2011

artykuł

Operations Research and Decisions

Operations Research and Decisions

Pomiar ryzyka finansowego w warunkach niepewności

Trzpiot, Grażyna Galanc, Tadeusz. Redakcja

2006

artykuł

Operations Research and Decisions

Operations Research and Decisions

O wybranych własnościach miar i ryzyka

Trzpiot, Grażyna Galanc, Tadeusz. Redakcja

2004

artykuł

Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu

Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu

Model regresji kwantylowej a estymacja modelu czynnikowego

Trzpiot, Grażyna

2009

artykuł

Ekonometria = Econometrics

Ekonometria = Econometrics

Description of the labour market status of young people in selected countries of the European Union – the taxonomic approach

Trzpiot, Grażyna

2021

artykuł

Ekonometria = Econometrics

Ekonometria = Econometrics

Seniors in cities and senior-friendly cities analysis for selected Polish cities – robust taxonomic approach

Trzpiot, Grażyna

2020

artykuł

More

Citation style:

Chicago ISO690 APA IEEE Harvard

Contact details

Address

Wrocław University of Science and Technology (Coordinator)
Library of Wrocław University of Science and Technology
Wybrzeże Wyspiańskiego 27
50-370 Wrocław, Poland

Phone

(+48) 71-320-38-30
(+48) 71-320-47-50

E-Mail

Visit us!

https://biblioteka.pwr.edu.pl/

This page uses 'cookies'. More information