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Dynamic Spatial Panel Data Models in Identifying Socio-Economic Factors Affecting the Level of Health in Selected European Countries

Orwat-Acedańska Agnieszka ()
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Orwat-Acedańska Agnieszka: University of Economics in Katowice, Department of Demography and Economic Statistics, ul. Bogucicka 3, 40-287Katowice, Poland

European Spatial Research and Policy, 2019, vol. 26, issue 1, 195-211

Abstract: The aim of the paper is to investigate the relationship between socio-economic factors and the level of health of citizens of selected European countries. Disability-adjusted life years (DALYs) were used as the measure of health. The author applied dynamic spatial panel data models with fixed effects and spatial autocorrelation of the error term. The models were estimated using a novel, modified quasi maximum likelihood method based on M-estimators. The approach is resistant to deviations from the assumptions on the distribution of initial observations. The estimation of initial observations is a severe weakness of standard methods based on the maximization of the quasi-likelihood function in the case of short panels. M-estimators are consistent and asymptotically normally distributed. The empirical analysis covers the specification, estimation, and verification of the models.

Keywords: dynamic spatial panel data models; M-estimation; fixed effects; short panels; DALYs – disability-adjusted life years; the level of health; socio-economic factors (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:eusprp:v:26:y:2019:i:1:p:195-211:n:10

DOI: 10.18778/1231-1952.26.1.10

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