Does real interest rate reduce income inequality in India? Evidence from multivariate framework analysis.
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This study empirically examines the impact of real interest rate on income inequality in India within a Kuznets Curve framework considering the role of economic growth, trade openness and technological innovation as the control variables. This study employs the ARDL bounds test for validating the long-run relationship over the annual data period 1995 to 2019. The results reveal the long-run relationship between the series in India. The findings suggest that the initial increase in interest rate significantly reduces income inequality. But, in a later stage, a threshold exists for such an increased interest rate to revert the prior beneficial impact. This finding further shows that Kuznets’ inverted U-shaped hypothesis is not valid for the relationship between income inequality and real interest rate in India. It shows that the real interest rate impedes income distribution in the long run. These findings are also found to be robust using FMOLS and DOLS estimators. We find that economic growth significantly reduces income inequality, whereas trade openness promotes it. Surprisingly, technological innovation enhances income inequality, but this effect vanishes in the long-run. However, these findings suggest that policymakers in India should not ignore the impeding role of real interest rates while aiming at achieving effective income distribution between haves and have-nots in the long run.
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Africa Tax and Inequality Report (2014). "Africa rising? Inequalities and the essential role of fair taxation". Retrieved from https://www.taxjusticeafrica.net/resources/publications
Aghion, P., Akcigit, U., Bergeaud, A., Blundell, R., & Hémous, D. (2018). Innovation and top income inequality. Rev Econ Stud 86(1):1-45. https://doi.org/10.1093/restud/rdy027
Aghion, P., Caroli, E., & Penalosa, C. G. (1999). Inequality and economic growth: The perspective of the new growth theories. Journal of Economic Literature, 37(4), 1615-1660. https://doi.org/10.1257/jel.37.4.1615
Agnello, L., Mallick, S. K., & Sousa, R. M. (2012). Financial reforms and income inequality. Economics Letters, 116(3), 583-587. https://doi.org/10.1016/j.econlet.2012.06.005
Ahluwalia, M. S. (1976). Inequality, poverty and development. Journal of Development Economics, 3(4), 307-342. https://doi.org/10.1016/0304-3878(76)90027-4
Alesina, A., & Rodrik, D. (1994). Distributive politics and economic growth. The quarterly journal of economics, 109(2), 465-490. https://doi.org/10.2307/2118470
Anand, S., & Kanbur, S. M. R. (1993). Inequality and development A critique. Journal of Development Economics, 41(1), 19-43. https://doi.org/10.1016/0304-3878(93)90035-L
Aneja, R., Barkha, & Banday, U. J. (2020). Regional Economic Growth and Inequality in India: A Sector-wise Decomposition Analysis. Arthaniti: Journal of Economic Theory and Practice, 0976747920910825. https://doi.org/10.1177/0976747920910825
Angeles, L. (2010). An alternative test of Kuznets' Hypothesis. The Journal of Economic Inequality, 8(4), 463-473. https://doi.org/10.1007/s10888-009-9117-4
Ansari, M. A., Villanthenkodath, M. A., Akram, V., & Rath, B. N. (2022). The nexus between ecological footprint, economic growth, and energy poverty in sub-Saharan Africa: A technological threshold approach. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-022-02377-5
Auclert, A. (2019). Monetary Policy and the Redistribution Channel. American Economic Review, 109(6), 2333-2367. https://doi.org/10.1257/aer.20160137
Bahmani-Oskooee, M., & Gelan, A. (2008). Kuznets inverted-U hypothesis revisited: A time-series approach using US data. Applied Economics Letters, 15(9), 677-681. https://doi.org/10.1080/13504850600749040
Berisha, E., Gupta, R., & Meszaros, J. (2020). The impact of macroeconomic factors on income inequality: Evidence from the BRICS. Economic Modelling, 91(C), 559-567. https://doi.org/10.1016/j.econmod.2019.12.007
Bhuyan, B., Sahoo, B. K., & Suar, D. (2020). Nutritional status, poverty, and relative deprivation among socio-economic and gender groups in India: Is the growth inclusive? World Development Perspectives, 18, 100180. https://doi.org/10.1016/j.wdp.2020.100180
Bivens, J. (2015). Gauging the Impact of the Fed on Inequality during the Great Recession. Hutchins Center on Fiscal and Monetary Policy Working Paper No.12.
Blanchard, O. J. (1999). European Unemployment: The Role of Shocks and Institutions. Cambridge MA.
Brown, J. C., Pusey, P. N., Goodwin, J. W., & Ottewill, R. H. (1975). Light scattering study of dynamic and time-averaged correlations in dispersions of charged particles. Journal of physics A: Mathematical and General, 8(5), 664. https://doi.org/10.1088/0305-4470/8/5/004
Carruth, A. A., Hooker, M. A., & Oswald, A. J. (1998). Unemployment Equilibria and Input Prices: Theory and Evidence from the United States. In The Warwick Economics Research Paper Series (TWERPS) (No. 496; The Warwick Economics Research Paper Series (TWERPS)). University of Warwick, Department of Economics. https://doi.org/10.1162/003465398557708
Coibion, O., Gorodnichenko, Y., Kueng, L., & Silvia, J. (2017). Innocent Bystanders? Monetary policy and inequality. Journal of Monetary Economics, 88, 70-89. https://doi.org/10.1016/j.jmoneco.2017.05.005
Datt, G., Ravallion, M., & Murgai, R. (2020). Poverty and Growth in India over Six Decades. American Journal of Agricultural Economics, 102(1), 4-27. https://doi.org/10.1093/ajae/aaz043
Demirguc-Kunt, A., & Levine, R. (2009). Finance and Inequality: Theory and Evidence (No. w15275). National Bureau of Economic Research. https://doi.org/10.3386/w15275
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. https://doi.org/10.1080/01621459.1979.10482531
Eusufzai, Z. (1997). The Kuznets hypothesis: An indirect test. Economics Letters, 54(1), 81-85. https://doi.org/10.1016/S0165-1765(96)00900-7
Furceri, D., Loungani, P., & Zdzienicka, A. (2017). The Effects of Monetary Policy Shocks on Inequality. Journal of International Money and Finance, 85, 168-186. https://doi.org/10.1016/j.jimonfin.2017.11.004
Galor, O., & Moav, O. (2004). From physical to human capital accumulation: Inequality and the process of development. Review of Economic Studies, 71(4), 1001-1026. https://doi.org/10.1111/0034-6527.00312
Husain, S., Sohag, K., Hasan, R., & Shams, S. M. R. (2020). Interest rate and income disparity: Evidence from Indonesia. Strategic Change, 29(6), 665-672. https://doi.org/10.1002/jsc.2381
Jha, S. K. (1996). The Kuznets curve: A reassessment. World Development, 24(4), 773-780. https://doi.org/10.1016/0305-750X(95)00165-9
Jones CI, Kim J (2018) A Schumpeterian model of top income inequality. J Polit Econ 126(5):1785-1826. https://doi.org/10.1086/699190
Kar, S., & Sakthivel, S. (2007). Reforms and Regional Inequality in India. Economic and Political Weekly, 42(47), 69-77.
Kuznets, S. (1955). Economic growth and income inequality. American Economic Review, 45(1), 1-28.
Mallick, H., Mahalik, M. K., & Padhan, H. (2020). Does globalization exacerbate income inequality in two largest emerging economies? The role of FDI and remittances inflows. International Review of Economics, 1-38. https://doi.org/10.1007/s12232-020-00350-0
Martín-Legendre, J. I., Castellanos-García, P., & Sánchez-Santos, J. M. (2020). Monetary Policy and Income Distribution: Empirical Evidence for the EU-15. Journal of World Economy 55, 121-142. https://doi.org/10.33776/rem.v0i55.3820
Minami, R. (1998). Economic development and income distribution in Japan: An assessment of the Kuznets hypothesis. Cambridge Journal of Economics, 22(1), 39-58. https://doi.org/10.1093/oxfordjournals.cje.a013704
Mumtaz, H., & Theophilopoulou, A. (2017). The Impact of Monetary Policy on Inequality in the UK. An Empirical Analysis. European Economic Review, 98, 410-423. https://doi.org/10.1016/j.euroecorev.2017.07.008
Narayan, P. K. (2005). The saving and investment nexus for China: Evidence from cointegration tests. Applied Economics, 37(17), 1979-1990. https://doi.org/10.1080/00036840500278103
O'Farrell, R., & Rawdanowicz, L. (2017). Monetary Policy and Inequality: Financial Channels. International Finance, 20(2), 174-188. https://doi.org/10.1111/infi.12108
Pal, S., Villanthenkodath, M. A., Patel, G., & Mahalik, M. K. (2022). The impact of remittance inflows on economic growth, unemployment and income inequality: An international evidence. International Journal of Economic Policy Studies, 16(1), 211–235. https://doi.org/10.1007/s42495-021-00074-1
Papanek, G. F., & Kyn, O. (1986). The effect on income distribution of development, the growth rate and economic strategy. Journal of Development Economics, 23(1), 55-65. https://doi.org/10.1016/0304-3878(86)90079-9
Pedroni, P. (2001). Fully modified OLS for heterogeneous cointegrated panels. In Nonstationary panels, panel cointegration, and dynamic panels. Emerald Group Publishing Limited.
Perron, P. (1989). The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis. Econometrica, 57(6), 1361-1401. https://doi.org/10.2307/1913712
Persson, T., & Tabellini, G. (1994). ls lnequality Harmful for Growth. American Economic Review, 84(3), 600-621.
Pesaran, M. H., & Shin, Y. (1999). An Autoregressive Distributed-Lag Modelling Approach to Cointegration Analysis. In S. Strøm (Ed.), Econometrics and Economic Theory in the 20th Century: The Ragnar Frisch Centennial Symposium (pp. 371-413). Cambridge University Press. https://doi.org/10.1017/CCOL0521633230.011
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/10.1002/jae.616
Phelps, E. S. (1994). Structural slumps: The modern equilibrium theory of unemployment, interest, and assets. Harvard University Press.
Piketty, T., & Saez, E. (2006). The evolution of top incomes: a historical and international perspective. American Economic Review, 96(2), 200-205. https://doi.org/10.1257/000282806777212116
Saez, E. (2017). Income and Wealth Inequality: Evidence and Policy Implications. Contemporary Economic Policy, 35(1), 7-25. https://doi.org/10.1111/coep.12210
Saiki, A., & Frost, J. (2014). Does Unconventional Monetary Policy Affect Inequality? Evidence from Japan. Applied Economics, 46(36), 4445-4454. https://doi.org/10.1080/00036846.2014.962229
Serneels, P., & Dercon, S. (2021). Aspirations, Poverty, and Education. Evidence from India. The Journal of Development Studies, 57(1), 163-183. https://doi.org/10.1080/00220388.2020.1806242
Shameem P, M., Villanthenkodath, M. A., & Chittedi, K. R. (2022). Economic growth and sectoral level electricity consumption nexus in India: New evidence from combined cointegration and frequency domain causality approaches. International Journal of Sustainable Energy, 0(0), 1–18. https://doi.org/10.1080/14786451.2022.2095386
Stock, J. H., & Watson, M. W. (1993). A simple estimator of cointegrating vectors in higher order integrated systems. Econometrica: journal of the Econometric Society, 783-820. https://doi.org/10.2307/2951763
Villanthenkodath, M. A., & Mahalik, M. K. (2022). Did the COVID-19 Outbreak Asymmetrically Affect the Spot Electricity Price in India? Energy RESEARCH LETTERS, 3(2), 32615.
Villanthenkodath, M. A., & Mohammed, S. P. (2022). Examining the impact of electricity production on economic growth and environmental quality in Japan: A disaggregated level analysis. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-022-22125-6
Villanthenkodath, M. A., Ansari, M. A., Kumar, P., & Raju, Y. N. (2022). Effect of information and communication technology on the environmental sustainability: An empirical assessment for South Africa. Telematics and Informatics Reports, 7, 100013. https://doi.org/10.1016/j.teler.2022.100013
Villanthenkodath, M. A., Mahalik, M. K., & Patel, G. (2022). Effects of foreign aid and energy aid inflows on renewable and non-renewable electricity production in BRICS countries. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-022-22730-5