ANALYSIS WITH NESTED MULTINOMIAL LOGIT MODEL OF DEMAND FOR HEALTHCARE: AN APPLICATION IN KAYSERI PROVINCE
Determining the factors affecting the demand for healthcare services are important in terms of providing health services more effectively and a more efficient health system. In addition, effective provision of healthcare services is an important element in terms of basic socio-economic development o...
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Mehmet Akif Ersoy University
2019-08-01
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Series: | Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi |
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Online Access: | https://dergipark.org.tr/tr/pub/makuiibf/issue/48147/520696 |
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doaj-0283452e93734f9987032d988c56a0882021-03-26T09:21:38ZengMehmet Akif Ersoy UniversityMehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi2149-16582019-08-016227328510.30798/makuiibf.520696273ANALYSIS WITH NESTED MULTINOMIAL LOGIT MODEL OF DEMAND FOR HEALTHCARE: AN APPLICATION IN KAYSERI PROVINCEEyyup EcevitZeynep Öztürk YaprakDetermining the factors affecting the demand for healthcare services are important in terms of providing health services more effectively and a more efficient health system. In addition, effective provision of healthcare services is an important element in terms of basic socio-economic development of countries. The primary aim of this study is to determine the factors which affect the demand for healthcare services. In that framework, factors related to household’s choice of applying to a healthcare facility because of a health problem and the factors related to household’s healthcare facility choice are investigated using the data collected in Kayseri province with survey method. Within the scope of the study, Nested Logit Model was implemented to the data set using Full Information Maximum Likelihood (FIML) technique which estimates both decision levels simultaneously. According to the results obtained, the factors which affect the choice of applying to the healthcare facility were found as the educational level of the household head, severity of the disease and some health problem complaints. Among the factors which affect healthcare facility choice, educational level of the patient reduces the likelihood of applying to both public and private healthcare facilities. Furthermore, likelihood of applying to public healthcare facilities reduces with the age of the patient.https://dergipark.org.tr/tr/pub/makuiibf/issue/48147/520696sağlıksağlık hizmetleri talebikesikli tercih modellerinested multinominal logit modelkayseriturkeyhealthdemand for healthcarediscrete choice modelschoice modelsnested multinomial logit modelkayseriturkey |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Eyyup Ecevit Zeynep Öztürk Yaprak |
spellingShingle |
Eyyup Ecevit Zeynep Öztürk Yaprak ANALYSIS WITH NESTED MULTINOMIAL LOGIT MODEL OF DEMAND FOR HEALTHCARE: AN APPLICATION IN KAYSERI PROVINCE Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi sağlık sağlık hizmetleri talebi kesikli tercih modelleri nested multinominal logit model kayseri turkey health demand for healthcare discrete choice models choice models nested multinomial logit model kayseri turkey |
author_facet |
Eyyup Ecevit Zeynep Öztürk Yaprak |
author_sort |
Eyyup Ecevit |
title |
ANALYSIS WITH NESTED MULTINOMIAL LOGIT MODEL OF DEMAND FOR HEALTHCARE: AN APPLICATION IN KAYSERI PROVINCE |
title_short |
ANALYSIS WITH NESTED MULTINOMIAL LOGIT MODEL OF DEMAND FOR HEALTHCARE: AN APPLICATION IN KAYSERI PROVINCE |
title_full |
ANALYSIS WITH NESTED MULTINOMIAL LOGIT MODEL OF DEMAND FOR HEALTHCARE: AN APPLICATION IN KAYSERI PROVINCE |
title_fullStr |
ANALYSIS WITH NESTED MULTINOMIAL LOGIT MODEL OF DEMAND FOR HEALTHCARE: AN APPLICATION IN KAYSERI PROVINCE |
title_full_unstemmed |
ANALYSIS WITH NESTED MULTINOMIAL LOGIT MODEL OF DEMAND FOR HEALTHCARE: AN APPLICATION IN KAYSERI PROVINCE |
title_sort |
analysis with nested multinomial logit model of demand for healthcare: an application in kayseri province |
publisher |
Mehmet Akif Ersoy University |
series |
Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi |
issn |
2149-1658 |
publishDate |
2019-08-01 |
description |
Determining the factors affecting the demand for
healthcare services are important in terms of providing health services more
effectively and a more efficient health system. In addition, effective
provision of healthcare services is an important element in terms of basic
socio-economic development of countries. The primary aim of this study is to
determine the factors which affect the demand for healthcare services. In that
framework, factors related to household’s choice of applying to a healthcare
facility because of a health problem and the factors related to household’s
healthcare facility choice are investigated using the data collected in Kayseri
province with survey method. Within the scope of the study, Nested Logit Model
was implemented to the data set using Full Information Maximum Likelihood
(FIML) technique which estimates both decision levels simultaneously. According
to the results obtained, the factors which affect the choice of applying to the
healthcare facility were found as the educational level of the household head,
severity of the disease and some health problem complaints. Among the factors
which affect healthcare facility choice, educational level of the patient
reduces the likelihood of applying to both public and private healthcare
facilities. Furthermore, likelihood of applying to public healthcare facilities
reduces with the age of the patient. |
topic |
sağlık sağlık hizmetleri talebi kesikli tercih modelleri nested multinominal logit model kayseri turkey health demand for healthcare discrete choice models choice models nested multinomial logit model kayseri turkey |
url |
https://dergipark.org.tr/tr/pub/makuiibf/issue/48147/520696 |
work_keys_str_mv |
AT eyyupecevit analysiswithnestedmultinomiallogitmodelofdemandforhealthcareanapplicationinkayseriprovince AT zeynepozturkyaprak analysiswithnestedmultinomiallogitmodelofdemandforhealthcareanapplicationinkayseriprovince |
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1724202518842441728 |