The nonlinear dynamic effect of government expenditure on income inequality: The case of macroprudential policy switching

Lindokuhle Talent Zungu

Article ID: 2515
Vol 8, Issue 4, 2024

VIEWS - 374 (Abstract) 211 (PDF)

Abstract


A panel data analysis of nonlinear government expenditure and income inequality dynamics in a macroprudential policy regime was conducted on a panel of 15 emerging countries from 1985–2019, where there had been a non-prudential regime from 1985–1999 and a prudential regime from 2000–2019. The paper explored the validity of the nonlinearity between government expenditure and income inequality in the macroprudential policy regime as well as the threshold level at which excessive spending reduces income inequality using the Bayesian spatial lag panel smooth transition regression (BSPSTR) and fix effect models. The BSPSTR model was adopted due to its ability to address the problems of heterogeneity, endogeneity, and cross-section correlation in a nonlinear framework. Moreover, as the transition variable often varies across time and space, the effect of the independent variables can also be time- and space-varying. The results reveal evidence of a nonlinear effect between government spending and income inequality, where the minimum level of government spending is found to be 29.89 percent of GDP, above which expenditure reduces inequality in emerging countries. The findings confirmed an inverted U-shaped relationship. The focal policy recommendation is that fiscal policy decisions that will reinforce the need for more emphasis on education and public expenditure on education and health, as important tools for improving income inequality, are crucial for these economies. Caution is needed when introducing macroprudential policies, especially at a low level of government expenditure.


Keywords


BSLPSTR; government expenditure; income inequality; macroprudential policy; nonlinearity

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References


Acharya, V., Bergant, K., Crosignani, M., et al. (2020). The Anatomy of the Transmission of Macroprudential Policies. IMF Working Papers, 20(58). https://doi.org/10.5089/9781513545158.001

Alam, Z., Alter, A., Eiseman, J., et al. (2019). Digging Deeper—Evidence on the Effects of Macroprudential Policies from a New Database. IMF Working Papers, 19(66), 1. https://doi.org/10.5089/9781498302708.001

Alesina, A., & Perotti, R. (1996). Income distribution, political instability, and investment, European Economic Review. 40, 1203-1228.

Al-Jaidi, N. F., Warrad., T. M. A. (2022). Trade openness and income inequality: Empirical evidence from selected developing countries. Jerash for Research and Studies, 22, 1777-1994.

Armingeon, K., Wenger, V., Wiedemeier, F., et al. (2018). Codebook: Comparative political dataset 1960–2016.

Ayodele, O., Frederick, M., Yemesrach, W, Wilmot, R. (2017). Income inequality and population growth in Africa. Income Inequality Trends in Sub-Saharan Africa: Divergence, Determinants and Consequences. Available online: https://ssrn.com/abstract=3101800 (accessed on 17 June 2022).

Barro, R. J. (2000). Inequality and Growth in a Panel of Countries. Journal of Economic Growth. 5, 5-32.

Barro, R. J., & Lee, J. W. (2013). A new data set of educational attainment in the world, 1950–2010. Journal of Development Economics, 104, 184–198. https://doi.org/10.1016/j.jdeveco.2012.10.001

Beramendi, P., & Cusack, T. R. (2009). Diverse Disparities. Political Research Quarterly, 62(2), 257–275. https://doi.org/10.1177/1065912908319220

Berg, A., Ostry, J. D., Tsangarides, C. G., et al. (2018). Redistribution, inequality, and growth: new evidence. Journal of Economic Growth, 23(3), 259–305. https://doi.org/10.1007/s10887-017-9150-2

Biyase, M., Eita, H., Udimal, T., & Zwane, T. (2022). Military spending and inequality in South Africa: An ARDL bounds testing approach to Cointegration. EDWRG Working Paper Number 05-2022.

Blanchard, O., Dell’Ariccia, G., & Mauro, P. (2010). Rethinking Macroeconomic Policy. Rethinking Macroeconomic Policy, 10(03), 2–19. https://doi.org/10.5089/9781455224982.004.a001

Breiman, L. (2001). Random forests. Machine Learning. 45, 5-32. https://doi.org/10.1023/A:1010933404324

Breunig, R., & Majeed, O. (2020). Inequality, poverty and economic growth. International Economics, 161, 83–99. https://doi.org/10.1016/j.inteco.2019.11.005

Carpantier, J. F., Olivera, J., & Van Kerm, P. (2018). Macroprudential policy and household wealth inequality. Journal of International Money and Finance, 85, 262–277. https://doi.org/10.1016/j.jimonfin.2017.11.009

Cerutti, E., Claessens, S., & Laeven, L. (2017). The use and effectiveness of macroprudential policies: New evidence. Journal of Financial Stability, 28, 203–224. https://doi.org/10.1016/j.jfs.2015.10.004

Checchi, D., Ichino, A., & Rustichini, A. (1999). More equal but less mobile? Education financing and intergenerational mobility in Italy and in the US. Journal of Public Economics. 74, 351-393.

Choi, G. (2019). Revisiting the redistribution hypothesis with perceived inequality and redistributive preferences. European Journal of Political Economy, 58, 220–244. https://doi.org/10.1016/j.ejpoleco.2018.12.004

Cingano, F. (2014). Trends in Income Inequality and its Impact on Economic Growth. (2014). OECD Social, Employment and Migration Working Papers. https://doi.org/10.1787/5jxrjncwxv6j-en

Doerrenberg, P., & Peichl, A. (2014). The impact of redistributive policies on inequality in OECD countries. Applied Economics, 46(17), 2066–2086. https://doi.org/10.1080/00036846.2014.892202

Dorn, F., Fuest, C., & Potrafke, N. (2021). Trade openness and income inequality: New empirical evidence. Economic Inquiry, 60(1), 202–223. Portico. https://doi.org/10.1111/ecin.13018

Doumbia, D., & Kinda, T. (2019). Reallocating public spending to reduce income inequality: Can it work? International Monetary Fund.

Dustmann, C., Fitzenberger, B., & Zimmermann, M. (2021). Housing Expenditure and Income Inequality. The Economic Journal, 132(645), 1709–1736. https://doi.org/10.1093/ej/ueab097

Eita, H., Biyase, M., Udimal, T., & Zwane, T. (2022). Does military spending affect inequality in South Africa? A revisit. EDWRG Working Paper Number 03-2022E.

Eitrheim, Ø., Teräsvirta, T. (1996). Testing the adequacy of smooth transition autoregressive models. Journal of Economics. 74, 59-75. https://doi.org/10.1016/0304-4076 (95) 01751-8

Figini, P., & Go¨rg, H. (2011). Does Foreign Direct Investment Affect Wage Inequality? An Empirical Investigation. The World Economy, 34(9), 1455–1475. https://doi.org/10.1111/j.1467-9701.2011.01397.x

Filandri, M., & Olagnero, M. (2014). Housing Inequality and Social Class in Europe. Housing Studies, 29(7), 977–993. https://doi.org/10.1080/02673037.2014.925096

Frees, E. (1995). Assessing cross-sectional correlation in panel data. Journal of Econometrics. 69, 393-414. https://doi.org/10.1016/0304-4076(94)01658-M

Friedman, M. (1937). The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance. Journal of the American Statistical Association, 32(200), 675–701. https://doi.org/10.1080/01621459.1937.10503522

Frost, J., & van Stralen, R. (2018). Macroprudential policy and income inequality. Journal of International Money and Finance, 85, 278–290. https://doi.org/10.1016/j.jimonfin.2017.11.010

Glaeser, E., Scheinkman, J., & Shleifer, A. (2003). The injustice of inequality. Journal of Monetary Economics. 50, 199-222.

González, A., Teräsvirta, T., Dijk, D., & Yang, Y. (2017). Panel smooth transition regression models. Available online: https://EconPapers.repec.org/RePEc:hhs:hastef:0604 (accessed on 23 March 2022).

Granger, C. W. J., & Terasvirta, T. (1993). Modelling non-linear economic relationships. Available online: https://ideas.repec.org/b/oxp/obooks/9780198773207.html (accessed on 20 May 2022).

Herwartz, H., & Theilen, B. (2017). Ideology and redistribution through public spending. European Journal of Political Economy, 46, 74–90. https://doi.org/10.1016/j.ejpoleco.2016.11.002

Ivaschenko, O. (2002). Growth and Inequality: Evidence from Transitional Economies. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.322740

Iversen, T., & Soskice, D. (2001). An Asset Theory of Social Policy Preferences. American Political Science Review, 95(4), 875–893. https://doi.org/10.1017/s0003055400400079

Konstantinou, P., Rizos, A., & Stratopoulou, A. (2021). Macroprudential policies and income inequality in former transition economies. Economic Change and Restructuring, 55(2), 1005–1062. https://doi.org/10.1007/s10644-021-09333-9

Lee, C. S., Nielsen, F., & Alderson, A. S. (2007). Income Inequality, Global Economy and the State. Social Forces, 86(1), 77–111. https://doi.org/10.1353/sof.2007.0102

Martin, G., & Martin, K. (2018). Income inequality and the size of government: a causal analysis. IZA institute of Labor Economics discussion paper series. IZA DP No. 12015

Muinelo-Gallo, L., & Roca-Sagalés, O. (2013). Joint determinants of fiscal policy, income inequality and economic growth. Economic Modelling, 30, 814–824. https://doi.org/10.1016/j.econmod.2012.11.009

Niehues, J. (2010). Social Spending Generosity and Income Inequality: A Dynamic Panel Approach. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1675689

Okun, A. M. (2015). Equality and efficiency: The big trade off Brookings Institution Press.

Persson, T. (2007). Electoral Rules and Government Spending in Parliamentary Democracies. Quarterly Journal of Political Science, 2(2), 155–188. https://doi.org/10.1561/100.00006019

Persson, T., & Tabellini, G. (2004). Constitutions and Economic Policy. Journal of Economic Perspectives, 18(1), 75–98. https://doi.org/10.1257/089533004773563449

Pesaran, M. H. (2004). General Diagnostic Tests for Cross Section Dependence in Panels. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.572504

Sancez, A., & Perez-Corral, A. L. (2018). Government Social Expenditure and Income Inequalities in The European Union. Review of Public Economics. 227, 33-156. https://doi.org/10.7866/HPE-RPE.18.4.5

Shahbaz, M. (2010). Income inequality‐economic growth and non‐linearity: a case of Pakistan. International Journal of Social Economics, 37(8), 613–636. https://doi.org/10.1108/03068291011060652

Sidek, N. Z. M. (2021). Do government expenditure reduce income inequality: evidence from developing and developed countries. Studies in Economics and Finance, 38(2), 447–503. https://doi.org/10.1108/sef-09-2020-0393

Solt, F. (2020). Measuring Income Inequality Across Countries and Over Time: The Standardized World Income Inequality Database. https://doi.org/10.31235/osf.io/mwnje

Stiglitz, J. (2013). Inequality is a choice. The New York Times, 13.

Subarna, K., Samanta, J., & Cerf, G. (2009). Income distribution and the effectiveness of fiscal policy: Evidence from some transitional economies. Journal of Economics and Business. XII: 1.

Teräsvirta, T., (1994). Specification, Estimation, and Evaluation of Smooth Transition Autoregressive Models. Journal of the American Statistical Association, 89(425), 208–218. https://doi.org/10.1080/01621459.1994.10476462

Tzur-Ilan, N. (2016). The effect of credit constraints on housing choices: The case of LTV limits. Available online: https://www.boi.org.il/he/NewsAndPublications/PressReleases/Documents/%D7%A0%D7%99%D7%A6%D7%9F%20%D7%A6%D7%95%D7%A8%20%D7%90%D7%99%D7%9C%D7%9F.pdf (accessed on 24 May 2021).

Ulu, M. I. (2018). The effect of government social spending on income inequality in OECD: A panel data analysis. International Journal of Economics Politics Humanities and Social Sciences, 1, 3.

Wilkista, L. O., Seher, G. T. (2022). Do public and internal debt cause income inequality? Evidence from Kenya. Journal of Economics, Finance and Administrative Science, 27(53), 124–138. https://doi.org/10.1108/jefas-05-2021-0049

World Development Indicators. (2023). World Bank, Washington, D.C. Available online: http://data.worldbank.org/data-catalog/world-development-indicators (accessed on 1 January 2023).

Zinman, J. (2010). Restricting consumer credit access: Household survey evidence on effects around the Oregon rate cap. Journal of Banking & Finance, 34(3), 546–556. https://doi.org/10.1016/j.jbankfin.2009.08.024

Zungu, L. T., Greyling, L., & Mbatha, N. (2022). Nonlinear Dynamics of the Development-Inequality Nexus in Emerging Countries: The Case of a Prudential Policy Regime. Economies, 10(5), 120. https://doi.org/10.3390/economies10050120

Zungu, L. T., & Greyling, L. (2022). Government size and economic growth in African emerging economies: does the BARS curve exist? International Journal of Social Economics, 49(3), 356–371. https://doi.org/10.1108/ijse-01-2021-0016

Zungu, L. T., Greyling, L., & Mbatha, N. (2021). Economic growth and income inequality: a non-linear econometrics analysis of the SADC region, 1990–2015. African Journal of Economic and Management Studies, 12(2), 285–301. https://doi.org/10.1108/ajems-09-2020-0465

Zungu, L. T., & Mtshengu, T. R. (2023). The Twin Impacts of Income Inequality and Unemployment on Murder Crime in African Emerging Economies: A Mixed Models Approach. Economies, 11(2), 58. https://doi.org/10.3390/economies11020058




DOI: https://doi.org/10.24294/jipd.v8i4.2515

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