Quality Growth and Okun's Law in Türkiye
DOI:
https://doi.org/10.63556/ankad.v10i3.427Keywords:
Okun’s Law, Quality Growth, Economic Growth, Unemployment, TürkiyeAbstract
This study investigates the validity of Okun's Law in Türkiye over the period 1990-2019. Significant economic, political, and social transformations experienced over the reference period in the country have caused considerable changes in the growth structure. Therefore, the Okun coefficient may not be accurate, and policies for reducing unemployment developed in this context might not be inclusive in case the estimation of the Okun coefficient solely depends on quantitative income growth. Stemming from this viewpoint, the main motivation of the study is to revise the analysis of Okun's Law in Türkiye using a quality growth index that can capture the layers of economic growth from a broader perspective. In this context, the Quality Growth Index proposed by Mlachila et al. (2017) has been calculated for Türkiye and used as a substitute for GDP growth in estimating the Okun coefficient. Empirical findings indicate that the negative effect obtained from quality growth on unemployment is greater than the negative effect of quantitative growth in magnitude. We also find that this finding is robust to different model specifications. Moreover, policy implications pertaining to the empirical results are also discussed.
References
Abdi, H., & Williams, L. J. (2010). Principal component analysis. Wiley interdisciplinary reviews: computational statistics, 2(4), 433-459. https://doi.org/https://doi.org/10.1002/wics.101
Abou-Ali, H., & Abdelfattah, Y. M. (2013). Integrated paradigm for sustainable development: A panel data study. Economic Modelling, 30, 334-342. https://doi.org/https://doi.org/10.1016/j.econmod.2012.09.016
Akram, M., Hussain, S., Raza, S. H., & Masood, S. (2014). An empirical estimation of Okun’s Law in context of Pakistan. Journal of Finance and Economics, 2(5), 173-177. https://doi.org/10.12691/jfe-2-5-7
Ali, I., & Son, H. H. (2007). Defining and measuring inclusive growth: application to the Philippines.
Ali, I., & Zhuang, J. (2007). Inclusive growth toward a prosperous Asia: Policy implications.
Anand, R., Mishra, M. S., & Peiris, M. S. J. (2013). Inclusive growth: Measurement and determinants. International Monetary Fund.
Baldacci, E., Clements, B., Gupta, S., & Cui, Q. (2008). Social spending, human capital, and growth in developing countries. World development, 36(8), 1317-1341. https://doi.org/https://doi.org/10.1016/j.worlddev.2007.08.003
Barro, R. J. (1991). Economic growth in a cross section of countries. The quarterly journal of economics, 106(2), 407-443. https://doi.org/https://doi.org/10.2307/2937943
Bilas, V., Franc, S., & Bošnjak, M. (2014). Determinant factors of life expectancy at birth in the European Union countries. Collegium antropologicum, 38(1), 1-9.
Brezina, I., Pekár, J., Čičková, Z., & Reiff, M. (2016). Herfindahl–Hirschman index level of concentration values modification and analysis of their change. Central European journal of operations research, 24(1), 49-72. https://doi.org/https://doi.org/10.1007/s10100-014-0350-y
Candès, E. J., Li, X., Ma, Y., & Wright, J. (2011). Robust principal component analysis? Journal of the ACM (JACM), 58(3), 1-37. https://doi.org/https://doi.org/10.1145/1970392.197039
Commission on Growth. (2008). The growth report: Strategies for sustained growth and inclusive development. World Bank Publications.
Cooray, A. V. (2009). The role of education in economic growth. Proceedings of the 2009 Australian Conference of Economists, 1-27.
Cutter, S. L., Burton, C. G., & Emrich, C. T. (2010). Disaster resilience indicators for benchmarking baseline conditions. Journal of Homeland Security & Emergency Management, 7(1), 1-22.
Diao, X., Rattsø, J., & Stokke, H. E. (2006). Learning by exporting and structural change: A Ramsey growth model of Thailand. Journal of Policy Modeling, 28(3), 293-306. https://doi.org/https://doi.org/10.1016/j.jpolmod.2005.10.007
Dollar, D. (1992). Outward-oriented developing economies really do grow more rapidly: evidence from 95 LDCs, 1976-1985. Economic development and cultural change, 40(3), 523-544. https://doi.org/https://www.jstor.org/stable/1154574
Dollar, D., & Kraay, A. (2002). Growth is Good for the Poor. Journal of economic growth, 7(3), 195-225. https://doi.org/https://doi.org/10.1023/A:1020139631000
Dunteman, G. H. (1989). Principal components analysis (Vol. 69). Sage.
Filmer, D., & Pritchett, L. (1997). Child mortality and public spending on health: how much does money matter? (Vol. 1864). World Bank Publications. Washington, DC. No. 1864.
Habito, C. F. (2009). Patterns of inclusive growth in developing Asia: Insights from an enhanced growth-poverty elasticity analysis.
Hanushek, E. A., & Woessmann, L. (2008). The role of cognitive skills in economic development. Journal of economic literature, 46(3), 607-668. https://doi.org/10.1257/jel.46.3.607
Hotelling, H. (1933). Analysis of a complex of statistical variables into principal components. Journal of educational psychology, 24(6), 417. https://doi.org/https://doi.org/10.1037/h0071325
Ianchovichina, E., & Lundström, S. (2009). Inclusive growth analytics: Framework and application. World Bank Policy Research Working Paper(4851).
International Monetary Fund. (2017). Fostering Inclusive Growth. Staff Note for the discussion at the Meeting of G20.
Iqbal, J., Aziz, S., & Nosheen, M. (2022). The asymmetric effects of exchange rate volatility on US–Pakistan trade flows: New evidence from nonlinear ARDL approach. Economic Change and Restructuring, 55(1), 225-255. https://doi.org/https://doi.org/10.1007/s10644-020-09310-8
Jolliffe, I. (2011). Principal component analysis. In International encyclopedia of statistical science (pp. 1094-1096). Springer.
Kakwani, N., & Pernia, E. M. (2000). What is pro-poor growth? Asian development review, 18(01), 1-16. https://doi.org/https://doi.org/10.1142/S0116110500000014
Klasen, S. (2010). Measuring and monitoring inclusive growth: Multiple definitions, open questions, and some constructive proposals. Asian Development Bank, Working Paper Series No 12, June. .
Knotek, E. S. (2007). How useful is Okun's law? Economic Review-Federal Reserve Bank of Kansas City, 92(4), 73.
Lopez, R., Thomas, V., & Wang, Y. (2008). The quality of growth: Fiscal policies for better results. Lopez, Ramon, Vinod Thomas, Yan Wang.
Lu, C., Qiao, J., & Chang, J. (2017). Herfindahl–Hirschman Index based performance analysis on the convergence development. Cluster computing, 20(1), 121-129. https://doi.org/https://doi.org/10.1007/s10586-017-0737-3
Martinez, M. M., & Mlachila, M. M. (2013). The quality of the recent high-growth episode in Sub-Saharan Africa. International Monetary Fund.
Mekdad, Y., Dahmani, A., & Louaj, M. (2014). Public spending on education and economic growth in Algeria: Causality test. International Journal of Business and Management, 2(3), 55.
Mlachila, M., Tapsoba, R., & Tapsoba, S. (2015). A quest for quality. Finance & Development, 52(2), 14-17.
Mlachila, M., Tapsoba, R., & Tapsoba, S. J. (2017). A quality of growth index for developing countries: A proposal. Social Indicators Research, 134(2), 675-710. https://doi.org/https://doi.org/10.1007/s11205-016-1439-6
Or, Z. (2000). Determinants of health outcomes in industrialised countries: a pooled, cross-country, time-series analysis. OECD Economic studies, 53-78.
Pearson, K. (1901). LIII. On lines and planes of closest fit to systems of points in space. The London, Edinburgh, and Dublin philosophical magazine and journal of science, 2(11), 559-572. https://doi.org/https://doi.org/10.1080/14786440109462720
Perron, P., & Qu, Z. (2007). A simple modification to improve the finite sample properties of Ng and Perron's unit root tests. Economics letters, 94(1), 12-19. https://doi.org/https://doi.org/10.1016/j.econlet.2006.06.009
Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of applied econometrics, 16(3), 289-326. https://doi.org/https://doi.org/10.1002/jae.616
Petrovska, M., & Mihajlovska, E. M. (2013). Measures of financial stability in Macedonia. Journal of central banking Theory and practice, 2(3), 85-110.
Piabuo, S. M., & Tieguhong, J. C. (2017). Health expenditure and economic growth-a review of the literature and an analysis between the economic community for central African states (CEMAC) and selected African countries. Health economics review, 7(1), 23. https://doi.org/https://doi.org/10.1186/s13561-017-0159-1
Poças, A. I., & Soukiazis, E. (2010). Health status determinants in the OECD countries. A panel data approach with endogenous regressors. Estudos do GEMF(4), 1-25.
Rubio, D. J. (2011). The impact of decentralization of health services on health outcomes: evidence from Canada. Applied Economics, 43(26), 3907-3917. https://doi.org/https://doi.org/10.1080/00036841003742579
Schober, P., Boer, C., & Schwarte, L. A. (2018). Correlation coefficients: appropriate use and interpretation. Anesthesia & analgesia, 126(5), 1763-1768. https://doi.org/10.1213/ANE.0000000000002864
Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In Festschrift in honor of Peter Schmidt: Econometric methods and applications (pp. 281-314). Springer. https://doi.org/https://doi.org/10.1007/978-1-4899-8008-3_9
Sohail, M. T., Ullah, S., Majeed, M. T., & Usman, A. (2021). Pakistan management of green transportation and environmental pollution: a nonlinear ARDL analysis. Environmental Science and Pollution Research, 28(23), 29046-29055. https://doi.org/https://doi.org/10.1007/s11356-021-12654-x
Thomas, V., Dailami, M., Dhareshwar, A., Kaufmann, D., Kishor, N., López, R. E., & Wang, Y. (1999). The quality of growth. Ekistics, 13-20.
Udeagha, M. C., & Ngepah, N. (2021). The asymmetric effect of trade openness on economic growth in South Africa: a nonlinear ARDL approach. Economic Change and Restructuring, 54(2), 491-540. https://doi.org/https://doi.org/10.1007/s10644-020-09285-6
World Health Organization. (2005). Make every mother and child count: The World Health Report. World Health Organization.
Zakariene, J. (2024). The effect of macroeconomic indicators on economic growth in Lithuania. Ecoforum Journal, 13(3), 1-8.
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