Inequality-growth nexus along the development process
-
Yi-Chen Lin
,
Ho-Chuan (River) Huang
Abstract
The paper examines whether the effect of inequality on growth varies with the level of economic development. Using a comprehensive panel of annual data for the 48 contiguous US states over the period 1945–2004, we find overwhelming evidence in support of threshold effects in the relationship between inequality and growth. Our analysis shows that while the effect of inequality on growth is significantly negative at lower levels of development, this effect diminishes along the growth process and then turns significantly positive at higher levels of development. Quantitatively, the coefficient estimates imply that when real income per capita is below the threshold of $12,140 (2004 US dollar), a one standard deviation increase in the share of income held by the top 1% of the population reduces the growth rate of real per capita income by 0.6479 percentage points. In contrast, when income per capita is above the threshold of $21,065 (2004 US dollar), a one standard deviation increase in the top percentile income share raises the rate of growth of real per capita income by 0.2561 percentage points.
- 1
Borjas, Bronars, and Trejo (1992) find that more able workers tend to be attracted to states with wider income distribution. Partridge (2006) provides evidence that state-level inequality is associated with greater job growth.
- 2
See Anand and Segal (2008) for a useful source of literature review on the empirics of global income inequality.
- 3
Empirical evidences supporting the conjecture that the median voter’s preference for redistributive policies varies with the level of economic development are as follows. Using PSID data, Alesina and Le Ferrara (2005) find evidence that individuals with higher current income are more averse to redistributive policies. Using cross-sectional data for US states, Ashby and Sobel (2008) find that economic freedom, which is conductive to inequality, is positively related to both the level of income and the growth rate of income.
- 4
In contrast, country-level inequality measures are based on surveys that differ in terms of income definitions and coverage of sources of income, the comparability of inequality measures across countries is limited.
- 5
The description of the panel threshold methodology applies to the two-regime (one threshold) case. Similar reasoning can be straightforwardly applied to models with more thresholds. Interested readers are referred to Hansen (1999) for more detailed descriptions of the panel threshold strategy.
- 6
Note that in order to calculate per capita income growth rate, we are left with T=59 time series observations for each state, resulting in a total of 2832 observations in our later application.
- 7
The two variables are multiplied by 100 from the original data provided by Frank (2009).
- 8
The two human capital measures are calculated by multiplying the original data in Frank (2009) by 100 and then taking natural logarithm. Due to the value being zero in several observations, the wage and salary variable for the agriculture sector enters as log(1+agriculture).
- 9
The sum of squared deviation of variable x is separated into two categories using the following equation:
- 10
The hypothesis that credit market tends to improve as an economy develops is also used by Barro (2000) to explain his finding that inequality tends to curtail (promote) economic growth in poorer (richer) countries.
Acknowledgement
The authors are grateful to Bruce E. Hansen and Mark W. Frank for kindly sharing with us the computer code and data, respectively, used in this paper. Helpful and constructive comments from two anonymous referees are also highly appreciated. Any remaining errors are our own responsibility.
References
Alesina, A., and D. Rodrik. 1994. “Distributive Politics and Economic Growth.” Quarterly Journal of Economics 109: 465–490.10.2307/2118470Suche in Google Scholar
Alesina, A., and R. Perotti. 1996. “Income Distribution, Political Instability, and Investment.” European Economic Review 40: 1203–1228.10.1016/0014-2921(95)00030-5Suche in Google Scholar
Alesina, A., and G. La Ferrara. 2005. “Preferences for Redistribution in the Land of Opportunities.” Journal of Public Economics 89: 897–931.10.1016/j.jpubeco.2004.05.009Suche in Google Scholar
Anand, S., and P. Segal. 2008. “What Do We Know about Global Income Inequality?” Journal of Economic Literature 46: 57–94.10.1257/jel.46.1.57Suche in Google Scholar
Ashby, N., and R. Sobel. 2008. “Income Inequality and Economic Freedom in the U.S. States.” Public Choice 134: 329–346.10.1007/s11127-007-9230-5Suche in Google Scholar
Bandyopadhyay, D., and P. Basu. 2005. “What Drives the Cross-country Growth and Inequality Correlation?” Canadian Journal of Economics 38(4): 1272–1297.10.1111/j.0008-4085.2005.00325.xSuche in Google Scholar
Banerjee, A., and E. Duflo. 2003. “Inequality and Growth: What can the Data Say?” Journal of Economic Growth 8(3): 267–299.10.1023/A:1026205114860Suche in Google Scholar
Barro, R. J. 2000. “Inequality and Growth in a Panel of Countries.” Journal of Economic Growth 5: 5–32.10.1023/A:1009850119329Suche in Google Scholar
Bell, L., and R. Freeman. 2001. “The Incentive for Working Hard: Explaining Hours Worked Differences in the US and Germany.” Labour Economics 8: 181–202.10.1016/S0927-5371(01)00030-6Suche in Google Scholar
Bénabou, R. 1996. “Inequality and Growth.” NBER Macroeconomics Annual 11: 11–92.10.1086/654291Suche in Google Scholar
Bhattacharya, J. 1998. “Credit Market Imperfections, Income Distribution, and Capital Accumulation.” Econometric Theory 11: 171–200.10.1007/s001990050183Suche in Google Scholar
Bjørnskov, C. 2008. “The Growth-Inequality Association: Government Ideology Matters.” Journal of Development Economics 87: 300–308.10.1016/j.jdeveco.2007.04.002Suche in Google Scholar
Borjas, G. J., S. G. Bronars, and S. J. Trejo. 1992. “Self-Selection and Internal Migration in the United States.” Journal of Urban Economics 32: 159–185.10.1016/0094-1190(92)90003-4Suche in Google Scholar
Edin, P.-A., and R. Topel. 1997. “Wage Policy and Restructuring: The Swedish Labor Market since 1960.” In The Welfare State in Transition, Reforming the Swedish Model, edited by R. Freeman, R. Topel, and B. Swedenborg, 155–201. Chicago: University of Chicago Press.Suche in Google Scholar
Fallah, B.N., and M. Partridge. 2007. “The Elusive Inequality-Economic Growth Relationship: Are there Differences between Cities and the Countryside?” Annals of Regional Science 41: 375–400.10.1007/s00168-006-0106-2Suche in Google Scholar
Frank, M. W. 2009. “Inequality and Growth in the United States: Evidence from a New State-Level Panel of Income Inequality Measures.” Economic Inquiry 47: 55–68.10.1111/j.1465-7295.2008.00122.xSuche in Google Scholar
Forbes, C. 2000. “A Reassessment of the Relationship between Inequality and Growth in the United States: Evidence from a New State-level Panel of Income Inequality Measures.” American Economic Review 90(4): 869–887.10.1257/aer.90.4.869Suche in Google Scholar
Galor, O. 2000. “Income Distribution and the Process of Development.” European Economic Review 44: 706–712.10.1016/S0014-2921(99)00039-2Suche in Google Scholar
Galor, O., and J. Zeira. 1993. “Income Distribution and Macroeconomics.” Review of Economic Studies 60(1): 35–52.10.2307/2297811Suche in Google Scholar
Galor, O., and D. Tsiddon. 1997. “Technical Progress, Mobility, and Economic Growth.” American Economic Review 87(3): 363–382.Suche in Google Scholar
Galor, O., and O. Moav. 2004. “From Physical to Human Capital Accumulation: Inequality and the Process of Development.” Review of Economic Studies 71: 1001–1026.10.1111/0034-6527.00312Suche in Google Scholar
Hansen, B. E. 1996. “Inference When a Nuisance Parameter is not Identified under the Null Hypothesis.” Econometrica 64: 413–430.10.2307/2171789Suche in Google Scholar
Hansen, B. E. 1999. “Threshold Effects in Non-Dynamic Panels: Estimation, Testing, and Inference.” Journal of Econometrics 93: 345–368.10.1016/S0304-4076(99)00025-1Suche in Google Scholar
Hanushek, E. A. 1996. “Measure Investment in Education.” Journal of Economic Perspectives 10(4): 9–30.10.1257/jep.10.4.9Suche in Google Scholar
Hoxby, C. M. 1996. “How Teachers’ Unions Affect Education Production.” Quarterly Journal of Economics 111(3): 671–718.10.2307/2946669Suche in Google Scholar
Kalsor, N. 1960. Essays on Values and Distribution. Glencoe, IL: The Free Press.Suche in Google Scholar
Lensink, R., and N. Hermes. 2004. “The Short-Term Effects of Foreign Bank Entry on Domestic Bank Behaviour–Does Economic Development Matter?” Journal of Business & Finance 28: 553–568.10.1016/S0378-4266(02)00393-XSuche in Google Scholar
Li, H., and H. Zou. 1998. “Income Inequality is not Harmful for Growth: Theory and Evidence.” Review of Development Economics 2: 318–334.10.1111/1467-9361.00045Suche in Google Scholar
Lin, S., H. Huang, D. Kim, and C. Yeh. 2009. “Nonlinearity between Inequality and Growth.” Studies in Nonlinear Dynamics and Econometrics 13(2): article 3.10.2202/1558-3708.1635Suche in Google Scholar
Partridge, M. 1997. “Is Inequality Harmful for Growth? Comment.” American Economic Review 87(5): 1019–1032.Suche in Google Scholar
Partridge, M. 2006. “The Relationship between Inequality and Labor Market Performance: Evidence from U.S. States.” Journal of Labor Research 27: 1–20.10.1007/s12122-006-1007-ySuche in Google Scholar
Perotti, R. 1994. “Income Distribution and Investment.” European Economic Review 38(3–4): 827–835.10.1016/0014-2921(94)90119-8Suche in Google Scholar
Perotti, R. 1996. “Growth, Income Distribution and Democracy: What the Data Say.” Journal of Economic Growth 1(2): 149–187.10.1007/BF00138861Suche in Google Scholar
Persson, T., and G. Tabellini. 1994. “Is Inequality Harmful for Growth?” American Economic Review 84(3): 600–621.Suche in Google Scholar
Piketty, T. 1997. “The Dynamics of the Wealth Distribution and Interest Rates with Credit Rationing.” Review of Economic Studies 64: 173–189.10.2307/2971708Suche in Google Scholar
Piketty, T., and E. Saez. 2006. “The Evolution of Top Incomes: A Historical and International Perspective.” American Economic Review Papers and Proceedings 96: 200–205.10.1257/000282806777212116Suche in Google Scholar
Robinson, J. 1952. “The Generalization of the General Theory.” In The Rate of Interest and Other Essays. London: Macmillan.Suche in Google Scholar
Saint-Paul, G., and T. Verdier. 1993. “Education, Democracy, and Growth.” Journal of Development Economics 42: 399–407.10.1016/0304-3878(93)90027-KSuche in Google Scholar
Siebert, H. 1998. “Commentary: Economic Consequences of Income Inequality.” Symposium of the Federal Reserve Bank of Kansas City on Income Inequality: Issues and Policy Options 265–281.Suche in Google Scholar
Voitchovsky, S. 2005. “Does the Profile of Inequality Matter for Economic Growth?” Journal of Economic Growth 10: 273–296.10.1007/s10887-005-3535-3Suche in Google Scholar
©2014 by Walter de Gruyter Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- The effects of the monetary policy stance on the transmission mechanism
- Inequality-growth nexus along the development process
- Estimating the Wishart Affine Stochastic Correlation Model using the empirical characteristic function
- Inventories, business cycles, and variable capital utilization
- Factor-based forecasting in the presence of outliers: Are factors better selected and estimated by the median than by the mean?
- Estimating VAR-MGARCH models in multiple steps
Artikel in diesem Heft
- Frontmatter
- The effects of the monetary policy stance on the transmission mechanism
- Inequality-growth nexus along the development process
- Estimating the Wishart Affine Stochastic Correlation Model using the empirical characteristic function
- Inventories, business cycles, and variable capital utilization
- Factor-based forecasting in the presence of outliers: Are factors better selected and estimated by the median than by the mean?
- Estimating VAR-MGARCH models in multiple steps
