Identifying Influential Variables on Health Expenditure of the Organisation for Economic Co-Operation and Development (OECD) Countries
Abstract
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1. OECD (2019). Health at a Glance 2019: OECD Indicators. OECD Publishing, Par-is,
2. Awais M, Khan A, Ahmad MS (2021). De-terminants of health expenditure from global perspective: A panel data analy-sis. Lib Arts Soc Sci Int J, 5(1):481–496.
3. Lee R, Miller T (2002). An approach to forecasting health expenditures, with application to the U.S. Medicare system. Health Serv Res, 37(5):1365-1386.
4. Fogel RW (2009). Forecasting the cost of U.S. Health Care in 2040. J Policy Model, 31(4):482-488.
5. Lopreite M, Mauro M (2017). The effects of population ageing on health care ex-penditure: a Bayesian VAR analysis us-ing data from Italy. Health Policy, 121(6):663-674.
6. Getzen TE (2000). Forecasting health ex-penditures: short, medium, and long (long) term. J Health Care Finance, 26(3):56-72.
7. Astolfi R, Lorenzoni L, Oderkirk J (2012). Informing policy makers about future health spending: A comparative analysis of forecasting methods in OECD coun-tries. Health Policy, 107(1) :1-10.
8. Piontkowski J (2019). Forecasting health expenses using a functional data model. Annals of Actuarial Science, 14(1):72-82.
9. Harris A, Sharma A (2018). Estimating the future health and aged care expenditure in Australia with changes in morbidity. PLoS One, 13(8):e0201697.
10. Carreras M, Ibern P, Inoriza JM (2018). Ageing and healthcare expenditures: Exploring the role of individual health status. Health Econ, 27(5):865–876.
11. Jia H, Jiang H, Yu J, Zhang J, Cao P, Yu X (2021). Total Health Expenditure and Its Driving Factors in China: A Gray Theo-ry Analysis. Healthcare (Basel), 9(2):207.
12. Caballer-Tarazona V, Guadalajara-Olmeda N, Vivas-Consuelo D (2019). Predicting healthcare expenditure by multimorbidi-ty groups. Health Policy, 123(4):427-434.
13. Nghiem SH, Connelly LB (2017). Conver-gence and determinants of health ex-penditures in OECD countries. Health Econ Rev, 7(1):29.
14. Schofield D, Rothman G (2007). “Projec-tions of Commonwealth Health Ex-penditure in Australia’s First Intergener-ational Report.” International Symposia in Economic Theory and Econometrics, in: Modelling Our Future: Population Ageing, Health and Aged Care, pages 149-168, Emerald Group Publishing Limited.
15. Rana RH, Alam K, Gow J (2020). Health expenditure and gross domestic product: causality analysis by income level. Int J Health Econ Manag, 20(1):55-77.
16. Gerdtham UG, Lothgren M (2000). On sta-tionarity and cointegration of interna-tional health expenditure and GDP. J Health Econ, 19(4):461-475.
17. Akca N, Sonmez S, Yilmaz A (2017). De-terminants of health expenditure in OECD countries: A decision tree model. Pak J Med Sci, 33(6):1490-1494.
18. Atalan A, Donmez, CC (2021). Evaluation of healthcare economics of OECD countries: Multi-objective statistical op-timization model. Acta Infologica, 5(1):197-206.
19. World Bank (2021). World development indicators. https://databank.worldbank.org/source/world-development-indicators. Ac-cessed on August 29th, 2022.
20. Kraipornsak P (2017). Factors Determining Health Expenditure in the Asian and the OECD Countries. Econ World, 5(5):407-417.
21. Zheng A, Fang Q, Zhu, Y, et al (2020). An application of ARIMA model for pre-dicting total health expenditure in China from 1978-2022. J Glob Health, 10(1):010803.
22. Jödicke AM, Zellweger U, Tomka IT, et al (2019). Prediction of health care ex-penditure increase: how does pharma-cotherapy contribute? BMC Health Serv Res, 19(1):953.
23. Linden M, Ray D (2017). Life expectancy effects of public and private health ex-penditures in OECD countries 1970–2012: Panel time series approach. Econ Anal Policy, 56:101-113.
24. Moayedfard A, Ghorbani S, Sefiddashti SE (2020). Health Expenditure and Its Hu-man Capital Determinants in Iran. Iran J Public Health, 49(11) 2189-2193.
25. Tuffery S (2011). Data mining and statistics for decision making. Wiley, Chichester.
26. Chan F, Cheing G, Chan JYC, et al (2006). Predicting employment outcomes of re-habilitation clients with orthopedic dis-abilities: A CHAID analysis. Disabil Re-habil, 28(5):257-270.
27. Giudici C, Arezzo MF, Brouard N (2013). Estimating health expectancy in pres-ence of missing data: an application us-ing HID survey. Stat Methods Appl, 22(4):517-534.
28. Karacan I, Sennaroglu B, Vayvay O (2020). Analysis of life expectancy across coun-tries using decision tree. East Mediterr Health J, 26(2):143-151.
29. Mushkin, SJ. (1962). Health as An Invest-ment. J Polit Econ, 70:129–57.
30. Schieber G, Maeda A (1999). Health Care Financing and Delivery in Developing Countries, Health Aff (Millwood), 18(3)19-205.
31. Van de Ven WPMM (1983). Effects of Cost-sharing in Health Care. Eff Health Care, 1: 47–58.
32. Sabra MM (2022). Health expenditure, life expectancy, fertility rate, CO2 emissions and economic growth Do public, pri-vate and external health expenditure matter? Theoretical and Applied Economics, 3(632):89-102
2. Awais M, Khan A, Ahmad MS (2021). De-terminants of health expenditure from global perspective: A panel data analy-sis. Lib Arts Soc Sci Int J, 5(1):481–496.
3. Lee R, Miller T (2002). An approach to forecasting health expenditures, with application to the U.S. Medicare system. Health Serv Res, 37(5):1365-1386.
4. Fogel RW (2009). Forecasting the cost of U.S. Health Care in 2040. J Policy Model, 31(4):482-488.
5. Lopreite M, Mauro M (2017). The effects of population ageing on health care ex-penditure: a Bayesian VAR analysis us-ing data from Italy. Health Policy, 121(6):663-674.
6. Getzen TE (2000). Forecasting health ex-penditures: short, medium, and long (long) term. J Health Care Finance, 26(3):56-72.
7. Astolfi R, Lorenzoni L, Oderkirk J (2012). Informing policy makers about future health spending: A comparative analysis of forecasting methods in OECD coun-tries. Health Policy, 107(1) :1-10.
8. Piontkowski J (2019). Forecasting health expenses using a functional data model. Annals of Actuarial Science, 14(1):72-82.
9. Harris A, Sharma A (2018). Estimating the future health and aged care expenditure in Australia with changes in morbidity. PLoS One, 13(8):e0201697.
10. Carreras M, Ibern P, Inoriza JM (2018). Ageing and healthcare expenditures: Exploring the role of individual health status. Health Econ, 27(5):865–876.
11. Jia H, Jiang H, Yu J, Zhang J, Cao P, Yu X (2021). Total Health Expenditure and Its Driving Factors in China: A Gray Theo-ry Analysis. Healthcare (Basel), 9(2):207.
12. Caballer-Tarazona V, Guadalajara-Olmeda N, Vivas-Consuelo D (2019). Predicting healthcare expenditure by multimorbidi-ty groups. Health Policy, 123(4):427-434.
13. Nghiem SH, Connelly LB (2017). Conver-gence and determinants of health ex-penditures in OECD countries. Health Econ Rev, 7(1):29.
14. Schofield D, Rothman G (2007). “Projec-tions of Commonwealth Health Ex-penditure in Australia’s First Intergener-ational Report.” International Symposia in Economic Theory and Econometrics, in: Modelling Our Future: Population Ageing, Health and Aged Care, pages 149-168, Emerald Group Publishing Limited.
15. Rana RH, Alam K, Gow J (2020). Health expenditure and gross domestic product: causality analysis by income level. Int J Health Econ Manag, 20(1):55-77.
16. Gerdtham UG, Lothgren M (2000). On sta-tionarity and cointegration of interna-tional health expenditure and GDP. J Health Econ, 19(4):461-475.
17. Akca N, Sonmez S, Yilmaz A (2017). De-terminants of health expenditure in OECD countries: A decision tree model. Pak J Med Sci, 33(6):1490-1494.
18. Atalan A, Donmez, CC (2021). Evaluation of healthcare economics of OECD countries: Multi-objective statistical op-timization model. Acta Infologica, 5(1):197-206.
19. World Bank (2021). World development indicators. https://databank.worldbank.org/source/world-development-indicators. Ac-cessed on August 29th, 2022.
20. Kraipornsak P (2017). Factors Determining Health Expenditure in the Asian and the OECD Countries. Econ World, 5(5):407-417.
21. Zheng A, Fang Q, Zhu, Y, et al (2020). An application of ARIMA model for pre-dicting total health expenditure in China from 1978-2022. J Glob Health, 10(1):010803.
22. Jödicke AM, Zellweger U, Tomka IT, et al (2019). Prediction of health care ex-penditure increase: how does pharma-cotherapy contribute? BMC Health Serv Res, 19(1):953.
23. Linden M, Ray D (2017). Life expectancy effects of public and private health ex-penditures in OECD countries 1970–2012: Panel time series approach. Econ Anal Policy, 56:101-113.
24. Moayedfard A, Ghorbani S, Sefiddashti SE (2020). Health Expenditure and Its Hu-man Capital Determinants in Iran. Iran J Public Health, 49(11) 2189-2193.
25. Tuffery S (2011). Data mining and statistics for decision making. Wiley, Chichester.
26. Chan F, Cheing G, Chan JYC, et al (2006). Predicting employment outcomes of re-habilitation clients with orthopedic dis-abilities: A CHAID analysis. Disabil Re-habil, 28(5):257-270.
27. Giudici C, Arezzo MF, Brouard N (2013). Estimating health expectancy in pres-ence of missing data: an application us-ing HID survey. Stat Methods Appl, 22(4):517-534.
28. Karacan I, Sennaroglu B, Vayvay O (2020). Analysis of life expectancy across coun-tries using decision tree. East Mediterr Health J, 26(2):143-151.
29. Mushkin, SJ. (1962). Health as An Invest-ment. J Polit Econ, 70:129–57.
30. Schieber G, Maeda A (1999). Health Care Financing and Delivery in Developing Countries, Health Aff (Millwood), 18(3)19-205.
31. Van de Ven WPMM (1983). Effects of Cost-sharing in Health Care. Eff Health Care, 1: 47–58.
32. Sabra MM (2022). Health expenditure, life expectancy, fertility rate, CO2 emissions and economic growth Do public, pri-vate and external health expenditure matter? Theoretical and Applied Economics, 3(632):89-102
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Issue | Vol 53 No 8 (2024) | |
Section | Original Article(s) | |
DOI | https://doi.org/10.18502/ijph.v53i8.16290 | |
Keywords | ||
CHAID decision tree Regression Health expenditure |
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How to Cite
1.
Issever T, Sennaroglu B, Donmez C, Corum A. Identifying Influential Variables on Health Expenditure of the Organisation for Economic Co-Operation and Development (OECD) Countries. Iran J Public Health. 2024;53(8):1847-1857.