چاپ صفحه |  صفحه نخست سامانه |  چکیده مقاله |  نویسندگان |  دانلود مقاله | دانشگاه علوم پزشکی تبریز |
| Forecasting health expenditures in Iran using the ARIMA model (2016-2020) Abstract Background: Accurate economic forecast has important effects on governmental policy and economic planning, and it can help policymakers to make decisions for future and create new infrastructures for the development of new forecasting methods. This study calculated total health expenditure, public health expenditure and out of pocket (OOP) payment for 2016-2020. Methods: Autoregressive Integrated Moving Average Process (ARIMA) is one of the most important forecasting models. In this study, five-year values were forecasted using EViews8 software according to health expenditures in Iran from 1971 to 2015. Results: Applying annual data for total health expenditure, resulted in the ARIMA (1,1,1) model being the most appropriate to predict these costs. The results of this study indicate that total health expenditures will reach from about 1228338 billion IRR in 2016 to 2698346 billion IRR in 2020 and the amount of out of pocket (OOP) will become more than 41% of total health expenditure in 2020. Conclusion: Total health expenditures in 2020 will become more than two halves in 2016. These expenditures indicated there is a need for continued governmental support of this sector during the upcoming years. |
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| بهزاد نجفی | ششم |
| نام فایل | تاریخ درج فایل | اندازه فایل | دانلود |
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| Forcasting health expenditure.pdf | 1398/03/27 | 560667 | دانلود |
