Latvijas un Eiropas iedzīvotāju pašnovērtētās veselības modelis un veselības riska faktori
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Latvijas Universitāte
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lav
Abstract
Latvijas un Eiropas iedzīvotāju pašnovērtētās veselības modelis un veselības riska
faktori
Darbā tiek novērtēta sociālekonomisko determinantu un veselības riska faktoru ietekme uz
Latvijas un Eiropas iedzīvotāju veselību.
Tiek piedāvāta jauna pieeja pašnovērtētās veselības modelēšanai. Pēc autores domām, veselības
koncepcija ir pārāk sarežģīta, lai izmantotu viendimensijas ekonometriskos modeļus veselības
determinantu efektu novērtēšanai. Darbā daudzdimensiju stereotipa logit (DSL) modelis tiek
adaptēts veselības modelēšanas problemātikai. DSL ļauj noteikt faktoru efektu nemonotonitāti un
atklāt nozīmīgos faktoru efektus tur, kur viendimensijas modeļi, piemēram, sakārtotais logit un
probit, tos „neredz”. Modelējot pašnovērtēto veselību ar DSL metodoloģiju tiek sasniegti
augstāki modeļu ticamības un kvalitātes rādītāji nekā pielietojot literatūrā plaši izmantojamo
sakārtoto probit modeli.
Atslēgas vārdi: daudzdimensiju stereotipa logit modelis; pašnovērtētā veselība;
sociālekonomiskie determinanti; veselības riski
Self-Assessed Health Model and Health Risk Factors of Latvia’s and Europe’s Population This research aims at estimating impact of socioeconomic determinants and health risk factors on health outcomes in Latvia and Europe. The work proposes new approach for modelling self-assessed health. We find that concept of health is too complicated to measure effects of health determinants using one-dimensional econometric models. We adapt multi-dimensional stereotype logit to the problem of modelling health; the model allows capturing nonmonotonicity in effects of factors and revealing significant effects significant effects that remain unseen if single dimension models, such as ordered logit and probit, are used. Modelling self-assessed health using multi-dimensional stereotype logit provides higher model goodness of fit and quality measures in comparison with widely used ordered probit model. Keywords: multi-dimensional stereotype logit; self-assessed health; socioeconomic determinants; health risks.
Self-Assessed Health Model and Health Risk Factors of Latvia’s and Europe’s Population This research aims at estimating impact of socioeconomic determinants and health risk factors on health outcomes in Latvia and Europe. The work proposes new approach for modelling self-assessed health. We find that concept of health is too complicated to measure effects of health determinants using one-dimensional econometric models. We adapt multi-dimensional stereotype logit to the problem of modelling health; the model allows capturing nonmonotonicity in effects of factors and revealing significant effects significant effects that remain unseen if single dimension models, such as ordered logit and probit, are used. Modelling self-assessed health using multi-dimensional stereotype logit provides higher model goodness of fit and quality measures in comparison with widely used ordered probit model. Keywords: multi-dimensional stereotype logit; self-assessed health; socioeconomic determinants; health risks.