Türkiye’de Cepten Yapılan Sağlık Harcamalarının Belirleyicileri: Koşulsuz Kantil Regresyon

Year 2019, Volume: 14 Issue: 2, 409 - 420, 30.08.2019

Egemen İpek

https://doi.org/10.17153/oguiibf.478079

Cited By: 7

Abstract

Cepten yapılan sağlık harcamaları bireylerin sağlık mal ve hizmetlerine
yaptığı doğrudan ve dolaylı ödemeleri kapsamaktadır. Bu çalışmada sağlık
harcamalarının finansmanında en önemli kaynaklardan biri olan cepten yapılan
sağlık harcamalarının belirleyicileri 2003-2015 Hanehalkı Bütçe Anketi
verileriyle Firpo vd. (2009) tarafından önerilen Koşulsuz Kantil Regresyon
yöntemi kullanılarak araştırılmıştır. Bu yöntem, koşullu kantil regresyon
yöntemlerine nazaran birçok durumda; genelleştirilebilir, politik ve genel
toplum açısından yorumlanabilir sonuçlar üretmeye olanak sağlamaktadır Çalışmadan
elde edilen en önemli sonuç koşullu kantil regresyon yönteminin, koşulsuz kantil,
en küçük kareler regresyon yöntemlerine nazaran cepten yapılan sağlık
harcamaları gibi sağa çarpık dağılımlı gözlemler üzerinden yapılacak
analizlerde daha tutarlı sonuçlar verdiğidir.

Keywords

Sağlık Harcamaları, Hanehalkı, Cepten Yapılan Harcamalar, Koşulsuz Kantil Regresyon

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

Abstract

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.

Keywords

Health Expenditure, Household, Out of Pocket Expenditure, Unconditional Quantile Regression

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