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  • Akademik Yaklaşımlar Dergisi
  • Volume:14 Issue:1
  • ANALYSIS OF THE SOCIAL SECURITY INSTITUTION’S HEALTH SPENDING: AN ARDL BOUNDS TEST APPROACH

ANALYSIS OF THE SOCIAL SECURITY INSTITUTION’S HEALTH SPENDING: AN ARDL BOUNDS TEST APPROACH

Authors : Yunus Emre KARATAŞ, Metin DİNÇER
Pages : 100-114
Doi:10.54688/ayd.1241757
View : 55 | Download : 51
Publication Date : 2023-06-29
Article Type : Research Paper
Abstract :ANALYSIS OF THE SOCIAL SECURITY INSTITUTION’S HEALTH SPENDING: AN ARDL BOUNDS TEST APPROACH Yunus Emre KARATAŞ, Metin DİNÇER With the health transformation program, universal health insurance was introduced. Thus, it became the most significant health service purchaser social security institution. The services provided by hospitals began to occupy an important place in the expenditures of the social security institution. Thus, the study aims to predict and model the effect of functional characteristics of health facilities on Social Security Institution insert ignore into journalissuearticles values(SSI); health expenditures in Turkey. While collecting the data used in the study, the hospital’s service levels as functional characteristics were considered, and the data between 01/2009 and 05/2020 were analyzed. Auto-Regressive Distributed Lag Model insert ignore into journalissuearticles values(ARDL); bounds test was used to analyze the presence of cointegration between variables in the short and long run. Long-run predictions show that while the secondary-level state hospitals reduce the health expenditure of the SSI, the tertiary-level state, university, and secondary-level private hospitals increase the SSI health expenditure. Measuring the services provided by hospitals and the benefits they provide to patients according to objective criteria will be the most significant indicator of the appropriateness of health expenditures. Keywords: ARDL Bounds Test, Reimbursement, Health Spending, Health Insurance, Social Security Institution Jel Codes: C32, G22, G28, H51, I13
Keywords : ARDL Bounds Test, Reimbursement, Health Spending, Health Insurance, Social Security Institution

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