OECD Ülkeleri için Kişi Başına Sağlık Harcamalarında Stokastik Yakınsama Analizi: Dalgacık Birim Kök Testi Yaklaşımı

Öz

Özet: Sağlık, ülkelerin büyüme ve gelişmesinde ve beşeri sermayenin oluşumunda temel faktörlerden biri olarak kabul edilmektedir. Sağlık sektöründeki gelişmeler ekonomik büyümeyi olumlu etkilemektedir. Gelişen teknoloji ve ilerleme ile son yıllarda hem gelişmekte olan hem de gelişmiş ülkelerde sağlık harcamalarında ciddi artışların olduğu görülmektedir. Sağlık harcamalarına yapılan yatırımlar, nüfusun fiziki yapısına katkı sağladığından, bu durum verimlilik artışını da beraberinde getirmektedir. Bu nedenle sağlık harcamalarının yakınsaması son zamanlarda iktisat literatüründe araştırmacıların odak noktası haline gelmiştir. Bu çalışma, 21 OECD üyesinin kişi başına sağlık harcamasının OECD ortalamasına yaklaşıp yaklaşmadığını inceledi. Stokastik yakınsama, Fan ve Gencay (2010) tarafından geliştirilen dalgacık birim kök testi ve geleneksel birim kök testleri (ADF, PP ve KPSS) ile 1975-2019 dönemi için test edilmiştir. Sonuçlar genel olarak değerlendirildiğinde, sabit ve sabit trendli modeller için 21 OECD ülkesinin OECD ortalamasına yakınsadığı görülmektedir. Ekonomik gelişmişlik göstergelerinden biri olan sağlık harcamalarının sürdürülebilir ekonomik büyüme için vazgeçilmez bir faktör olması nedeniyle, sağlık harcamalarının yakınsama hipotezinin geçerli olması durumunda ekonomik büyümeyi olumlu yönde etkileyeceği kaçınılmaz bir gerçektir.

Anahtar Kelimeler

• Birim Kök Testi
• Zaman Serileri
• Dalgacık
• Sağlık Harcamaları
• Yakınsama

Stochastic Convergence Analysis In Per Capita Health Expenditures for OECD Countries: Wavelet Unit Root Test Approach

Öz

Abstract: Health is considered one of the essential factors in the growth and development of countries and the formation of human capital. Advances in the health sector have a positive effect on economic growth. With the developing technology and progress, it is seen that there have been severe increases in health expenditures in both developing and developed countries in recent years. Since investments in health expenditures contribute to the physical structure of the population, this situation brings with it an increase in productivity. For this reason, health expenditure convergence has recently become the focus of researchers in the economics literature. This study examined whether the per capita health expenditure of 21 OECD members converged to the OECD average. Stochastic convergence has been tested for the period 1975-2019 with the wavelet unit root test developed by Fan and Gencay (2010) as well as conventional unit root tests (ADF, PP and KPSS). When the wavelet unit root test results, which include both time and frequency domain information with better power characteristics than conventional tests, are examined, it is concluded that nine countries converge to the OECD average. Since health expenditures, which is one of the economic development indicators, are an essential factor for sustainable economic growth, it is an inevitable fact that if the convergence hypothesis of health expenditures is valid, it will positively affect economic growth.

Anahtar Kelimeler

• Unit Root Test
• Time Series
• Wavelet
• Health Expenditures
• Convergence

Kaynakça

1. Akarsu, G., Cafri, R. & Bidirdi, H. (2019). OECD ülkelerinde sağlık harcamalarının kamu-özel bileşenleri yakınsıyor mu? Doğrusal olmayan panel birim kök testi bulguları. Sosyoekonomi, 27(41), 89-112.
2. Apergis, N. (2015). Convergence in public expenditure across a sample of emerging countries: Evidence from club convergence. Emerging Markets Finance and Trade, 51(3), 448-462.
3. Aslan, A. (2008). Convergence of per capita health care expenditures in OECD countries. International Research Journal of Finance and Economics, 24(24), 48-53.
4. Atılgan, D. & Özbek, S. (2021). G7 Ülkelerinde Sağlığın Yakınsaması Hipotezinin Geçerliliği: Panel Birim Kök Testlerinden Kanıtlar. Ekonomi İşletme ve Maliye Araştırmaları Dergisi, 3(3), 231-242.
5. Barro, R. (1991). Economic growth in a cross section of countries, Quarterly Journal of Economics, 106(2), 407–43.
6. Becker, G.S. (1993). Human capital: A theoretical and empirical analysis, with special reference to education. University of Chicago Press.
7. Bernard, A.B. & Durlauf, S.N. (1996). Interpreting tests of the convergence hypothesis. Journal of Econometrics, 71(1-2), 161-173.
8. Bloom, D.E. & Canning, D. (2000). The health and wealth of nations. Science, 287(5456), 1207-1209.

9. Clemente, J., Lázaro-Alquézar, A. & Montañés, A. (2020). Does the Great Recession contribute to the convergence of health care expenditures in the US States? International Journal of Environmental Research and Public Health, 17(2), 554.
10. Çalışkan, Z. (2009). OECD Ülkelerinde Sağlık Harcamaları: Panel Veri Analizi. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, (34), 117-137.
11. Dhesi, A. S. & Dhariwal, M. S. (1990). Health Expenditure, Labour Supply and Productivity of Workers: A Simultaneous Equation Approach. Canadian Journal of Development Studies / Revue Canadienne D’études Du Développement, 11(2), 311–324.
12. Dickey, D.A. & Fuller, W.A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366a), 427-431.
13. Durlauf, S.N. & Johnson, P.A. (1995). Multiple regimes and cross‐country growth behaviour. Journal of Applied Econometrics, 10(4), 365-384.
14. Elliott, G., T.J. Rothenberg, & J.H. Stock (1996) Efficient tests for an autoregressive unit root. Econometrica 64, 813–836.
15. Fallahi, F. (2011). Convergence of total health expenditure as a share of GDP: Evidence from selected OECD countries. MPRA Paper. No: 51324: 1-22.
16. Fan, Y. & Gençay, R. (2010). Unit root tests with wavelets. Econometric Theory, 26(5), pp.1305-1331.
17. Foon Tang, C. (2011). Multivariate granger causality and the dynamic relationship between health care spanding, income and relative price of health care in Malaysia, Hitotsubashi Journal of Economics, 52, 199–214.
18. Furuoka, F. (2017). A new approach to testing unemployment hysteresis. Empirical economics, 53(3), 1253-1280.
19. Granger, C.W. (1966). The typical spectral shape of an economic variable. Econometrica: Journal of the Econometric Society, 150-161.
20. Grossman, M. (1976). The correlation between health and schooling’, in Household Production and Consumption, ed. N. Terleckyj. NBER & Columbia University Press, New York.
21. Hitiris, T. & Nixon, J. (2001). Convergence of health care expenditure in the EU countries. Applied Economics Letters, 8(4), 223-228.
22. Huber, M. & Orosz, E. (2003). Health expenditure trends in OECD countries, 1990-2001. Health Care Financing Review, 25(1), 1-23.
23. Im, K.S., Pesaran, M.H. & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53-74.
24. Kamacı, A., & Uğurlu Yazıcı, H. (2017). OECD Ülkelerinde Sağlik Harcamalarinin Ekonomik Büyüme Üzerindeki Etkisinin Ekonometrik Analizi. Sakarya İktisat Dergisi, 6(2), 52-69.
25. Kenkel, D. (1990). Consumer health information and the demand for medical care. The Review of Economics and Statistics, 72(4), 587-595.
26. Kerem, K., Puss, T., Viies, M. & Maldre, R. (2008). Health and convergence of health care expenditure in EU. International Business & Economics Research Journal (IBER), 7(3), 29-44.
27. Kızılkaya, F. & Dağ, M. (2021). OECD Ülkelerinde sağlık harcamalarının yakınsaması: kırılmalı Fourier birim kök testinden bulgular. Yaşar Üniversitesi E-Dergisi, 16(62), 587-600.
28. Lau, C.K.M., Fung, K.W.T. & Pugalis, L. (2014). Is health care expenditure across Europe converging? Findings from the application of a nonlinear panel unit root test. Eurasian Business Review, 4(2), 137-156.
29. Lee, J. & Strazicich, M.C. (2003). Minimum Lagrange multiplier unit root test with two structural breaks. Review of Economics and Statistics, 85(4), 1082-1089.
30. Narayan, P.K. (2007). Do health expenditures ‘catch‐up’? Evidence from OECD countries. Health Economics, 16(10), 993-1008.
31. Nelson, C.R. & Plosser, C.R. (1982). Trends and random walks in macroeconmic time series: some evidence and implications. Journal of Monetary Economics, 10(2), 139-162.
32. Newey, W.K. & West, K.D. (1987). Hypothesis testing with efficient method of moments estimation. International Economic Review, 777-787.
33. Nghiem, S.H. & Connelly, L.B. (2017). Convergence and determinants of health expenditures in OECD countries. Health Economics Review, 7(1), 1-11.
34. Ng, S. & P. Perron, (2001) Lag length selection and the construction of unit root tests with good size and power. Econometrica 69, 1519–1554.
35. Nixon, J. (2000). Convergence of health care spending and health outcomes in the EUropean Union, 1960-95. University of York, Centre for Health Economics. Working Papers 183 1-25.
36. Odhiambo, S.A., Wambugu, A. & Kiriti-Ng’ang’a, T. (2015). Convergence of health expenditure in Sub-Saharan Africa: Evidence from a dynamic panel. Journal of Economics and Sustainable Development, 6(6), 185-205.
37. OECD (2019). Health at a Glance, https://www.oecd-ilibrary.org/docserver/4dd50c09-en.pdf?expires=1699644330&id=id&accname=guest&checksum=00B0131727D366BEF9267AEC1D98320A OECD Data (2023). https://data.oecd.org/
38. Okunade, A. A., Karakus, M. C., & Okeke, C. (2004). Expenditure growth of the OECD countries: jackknife resampling plan estimates. Health Care Management Science. 7: 173–183.
39. Oyedele, O. & Adebayo, A. (2015). Convergence of health expenditure and health outcomes in ecowas countries. International Journal, 4(2), 46-53.
40. Panopoulou, E. & Pantelidis, T. (2012). Convergence in per capita health expenditures and health outcomes in the OECD countries. Applied Economics, 44(30), 3909-3920.
41. Payne, J.E., Anderson, S., Lee, J. & Cho, M.H. (2015). Do per capita health care expenditures converge among OECD countries? Evidence from unit root tests with level and trend-shifts. Applied Economics, 47(52), 5600-5613.
42. Pekkurnaz, D. (2015). Convergence of health expenditure in OECD countries: evidence from a nonlinear asymmetric heterogeneous panel unit root test. Journal of Reviews on Global Economics, 4, 76-86.
43. Perović, L.M., Golem, S. & Kosor, M.M. (2016). Convergence in government spending components in EU15: A spatial econometric perspective. Amfiteatru Economic Journal, 18(42), 240-254.
44. Phillips, P.C. & Sul, D. (2007). Transition modeling and econometric convergence tests. Econometrica, 75(6), 1771-1855.
45. Rassekh, F. (1998). The convergence hypothesis: History, theory, and evidence. Open Economies Review, 9(1), 85-105.
46. Reese, S., & Westerlund, J. (2016). Panicca: Panic on cross‐section averages. Journal of Applied Econometrics, 31(6), 961-981.
47. Solow, R.M. (1956). A contribution to the theory of economic growth. The Quarterly Journal of Economics, 70(1), 65-94.
48. Stańczyk, R. (2016). Convergence of health status in the European Union: a spatial econometric approach. Athens Journal of Health, 3(1), 95-112.
49. Schultz, T. (1961). Investment in human capital, The American Economic Review, 51(1), 1-17.
50. Şahin, D. (2018). Türkiye ve MENA Ülkelerinde Sağlığın Yakınsaması: Panel Birim Kök Testi. Karadeniz Teknik Üniversitesi Sosyal Bilimler Enstitüsü Sosyal Bilimler Dergisi, 8(16), 235-252.
51. Şen, A. & Pehlivan, C. (2018). Türkiye ve Brics Ülkelerinde Teknoloji ve Beşeri Sermayenin Ekonomideki Etkinliği: Panel Veri Analizi. Fiscaoeconomia Dergisi, 2(3), 198-225.
52. Şenol, N. & Onaran, S. (2022). The Relationship Between Economic Growth and Health, R&D Expenditures and Unemployment In Turkey. Uluslararası Ekonomi İşletme ve Politika Dergisi, 6(1), 141-155.
53. Tiraş, H.H. & Türkmen, S. (2020). Sağlık harcamalarının belirleyicilerine yönelik bir araştırma; AB ve Türkiye örneği. Bingöl Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 4(1), 107-139.
54. Tülümce, S.Y. & Zeren, F. (2013). OECD Ülkelerinde Sağlığın Yakınsamasının Analizi: Panel Birim Kök Testi. Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 18(2), 287-300.