Determinants of Out of Pocket Health Expenditure in Turkey: Unconditional Quantile Regression

MakaleAçık Erişim
  • SDG 3 · Sağlık ve Kaliteli Yaşam
  • SDG 16 · Barış, Adalet ve Güçlü Kurumlar

Özet

Out-of-pocket health expenditures include direct and indirect payments made by individuals for health goods and services. In this study, the determinants of out-of-pocket health expenditures, which are one of the most important sources of health expenditures financing, are investigated with the data of 2003-2015 Household Budget Survey using the Unconditional Quantitative Regression method proposed by Firpo et al. (2009). This method allows to produce generalizable and interpretable results in terms of political and general society compared with conditional quantitative regression methods. The most important result obtained from the study is that conditional quantitative regression method gives more consistent results than unconditional quantitative and least squares regression methods in the analyzes based on the right-skewed distribution observations such as out-of-pocket health expenditures.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/gumushane/15932Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.17153/oguiibf.478079Yayıncı resmi DOI adresi
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WoS
4
OpenAlex
8
TR Dizin
5
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AlanDeğerDil
dc.contributor.authorIpek, Egemen
dc.date.accessioned2026-10-22T10:26:14.094907154Z
dc.date.available2026-10-22T10:26:14.094907154Z
dc.date.issued2019-08
dc.description.abstractOut-of-pocket health expenditures include direct and indirect payments made by individuals for health goods and services. In this study, the determinants of out-of-pocket health expenditures, which are one of the most important sources of health expenditures financing, are investigated with the data of 2003-2015 Household Budget Survey using the Unconditional Quantitative Regression method proposed by Firpo et al. (2009). This method allows to produce generalizable and interpretable results in terms of political and general society compared with conditional quantitative regression methods. The most important result obtained from the study is that conditional quantitative regression method gives more consistent results than unconditional quantitative and least squares regression methods in the analyzes based on the right-skewed distribution observations such as out-of-pocket health expenditures.
dc.identifier.doi10.17153/oguiibf.478079
dc.identifier.eissn1306-6293
dc.identifier.endpage420
dc.identifier.issn1306-6730
dc.identifier.issue2
dc.identifier.startpage409
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/15932
dc.identifier.volume14
dc.identifier.wosWOS:000482556700009
dc.language.isotr
dc.publisherESKISEHIR OSMANGAZI UNIV, FAC EDUCATION
dc.relation.ispartofESKISEHIR OSMANGAZI UNIVERSITESI IIBF DERGISI-ESKISEHIR OSMANGAZI UNIVERSITY JOURNAL OF ECONOMICS AND ADMINISTRATIVE SCIENCES
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectHealth Expenditure
dc.subjectHousehold
dc.subjectOut of Pocket Expenditure
dc.subjectUnconditional Quantile Regression
dc.subject.classificationEconomics
dc.subject.classificationBusiness & Economics
dc.subject.otherCARE
dc.subject.otherPAYMENTS
dc.subject.otherINSURANCE
dc.subject.otherIMPACT
dc.subject.otherPROGRAM
dc.subject.otherBURDEN
dc.titleDeterminants of Out of Pocket Health Expenditure in Turkey: Unconditional Quantile Regression
dc.typeArticle
rdl.citation.openalex8
rdl.citation.trdizin5
rdl.citation.wos4
rdl.oa.statusgold
rdl.oa.urlhttps://dergipark.org.tr/tr/download/article-file/789647
rdl.sdgSDG03
rdl.sdgSDG16
rdl.source.indexWOS
rdl.source.indexTRDIZIN
rdl.wos.indexEmerging Sources Citation Index (ESCI)