The effects of economic growth on income inequality in the US

The paper analyzes the relation between growth and income inequality in the US during the post-war years (1953–2008). We show that the income of the top income groups is more sensitive to growth, defined broadly as current growth and changes in expectations of future growth, compared to the income of the lower income groups. We provide evidence that this increased sensitivity arises for two reasons: (a) the top income groups receive a large portion of their income from wealth, which is more sensitive to growth than labor income and (b) the top income groups receive a large portion of their labor income in the form of pay-for-performance (equity compensation), which is also sensitive to growth. Consequently, we conclude that growth and income inequality are positively associated.     

The effect of the shape of the income distribution on two inequality measures

This letter describes the effect of skewness and kurtosis of the log-income distribution on two measures of income inequality. Positive skewness and leptokurtosis affect inequality positively.     

The effect of foreign aid on income inequality: Evidence from panel cointegration

This paper examines the long-run effect of foreign aid on income inequality for 21 recipient countries using panel cointegration techniques to control for omitted variable and endogeneity bias. We find that aid exerts an inequality increasing effect on income distribution.     

Measuring inequality change in an economy with income growth

This paper analyzes how to measure changes in inequality in an economy with income growth. The discussion distinguishes three stylized kinds of economic growth:

• 1.(1) high income sector enrichment,
• 2.(2) low income sector enrichment,
• 3.(3) high income sector enlargement, in which the high income sector expands and absorbs persons from the low income sector.

Th e two enrichment types pose no problem for assessing inequality change in the course of economic growth: for high income sector enrichment growth, inequality might reasonably be said to increase, whereas for low income sector enrichment, inequality might be said to decrease. These adjustments are non-controversial and non-problematical. Where problems arise is in the case of high income sector enlargement growth. In that case, the two alternative approaches have been shown in this paper to yield markedly results:

• 1.(1) The traditional inequality indices generate an inverted-U pattern of inequality. That is, inequality rises in the early stages of high income sector enlargement growth and falls thereafter.
• 2.(2) The new approach suggested here, based on axioms of gap inequality and numerical inequality, generates a U pattern of inequality. That is, inequality falls in the early stages of high income sector enlargement growth and rises thereafter.

The discrepancy between the familiar indices and the alternative approach based on axioms of gap inequality and numerical inequality bears further scrutiny. Two courses of action are possible. One might try to axiomatize inequality in ways that generate an inverted-U pattern in high income sector enlargement growth, thereby rationalizing the continued use of the usual inequality indices with the inverted-U property. Alternatively, one might retain the axioms proposed here, embed them into a more formal structure, and construct a family of inequality indices consistent with them. Others might wish to pursue the first course; I am at work on the second.     

Decomposing inequality change from the perspective of reranking and income growth between income groups

This paper proposes a decomposition of the change in inequality from the perspective of income groups. For every dichotomisation of the income distribution into poorer and richer parts, the decomposition allows to detect the change in the relative income gap between the two parts and the reranking between poorer and richer individuals. This decomposition approach is particularly suitable when analysts split the population between the individuals initially below the poverty line and those above the poverty line, since the decomposition allows to capture the effects of reranking and disproportional growth in income between poor and non-poor individuals and to compare these effects with those detected for the entire population. An application to Italian income data illustrates the proposed decomposition.     

The composition effects of tax-based consolidation on income inequality

Many advanced economies have recently embarked on fiscal austerity. As this has come at a time of high and rising income disparities, policy-makers have fretted about the inequality effects of fiscal consolidations. We shed new light on this issue by empirically investigating the (composition) effects of tax-based consolidations on income inequality, output and labour market conditions for a sample of 16 OECD countries over the period 1978–2012. We find that tax-based consolidations reduce income inequality, but at the cost of weaker economic activity. However, tax composition does matter. Indirect taxes reduce income inequality by more than direct taxes, possibly due to the operation of a positive labour supply channel. Higher indirect taxes increase the price of the consumption basket and create incentives for agents to increase their labour supply. We find this effect to be stronger for middle-aged women. Looking at specific instruments, general consumption taxes and personal taxes are the most suited to reduce inequality while at the same time minimizing the equity-efficiency trade-off.     

Accounting for the effect of health on cross-state income inequality in India

We perform development accounting in accordance with [Weil, 2005] and [Weil, 2007] in a cross-state analysis of India. Results of similar magnitude are found, demonstrating that health can account for 1% to 18% of income differences depending on the health measure.     

The effect of output growth volatility on output growth: empirical evidence from Turkey

This article assesses the effect of output growth volatility on output growth within a stochastic-volatility-in-mean model with a time-varying framework for an open small economy: Turkey. Until now, the empirical evidence on industrial production mainly reveals that this relationship is negative. However, in further examining different sectors and sub-sectors of industrial production, we find the sign of the relationship changes depending on the sector. Moreover, there is limited evidence that the sign of the relationship changes over time. Thus, the evidence reveals that the nature of the output growth volatility–output growth relationship is not uniform across sectors.     

Finance,income inequality and income redistribution

Using a panel fixed effects model for a large sample of countries covering 1975–2005, we test the hypothesis that income inequality caused by finance (financial development, financial liberalization and banking crises) is related to more income redistribution than inequality caused by other factors. Our results provide evidence in support of this hypothesis. We also find that the impact of inequality on redistribution is conditioned by ethno-linguistic fractionalization. Our findings are robust to the inclusion of several control variables suggested by previous studies.     

Status-seeking behavior,the evolution of income inequality,and growth

Using an overlapping generations model, this paper investigates the implications of status-seeking behavior, induced by preferences for relative income, for the evolution of income inequality. When average income rises, an individual’s marginal utility of their own income may increase (keeping up with the Joneses, or KUJ), or decrease (running away from the Joneses, or RAJ). It is shown that income inequality is shrinking over time in the KUJ economy, whereas it is expanding in the RAJ economy. We also explore the implications for long-run growth and inequality, in the existence of both KUJ and RAJ agents. I am truly grateful to Koichi Futagami for his encouragement and guidance in writing this paper. I have benefitted from comments by an anonymous referee, Been-Lon Chen, Giacomo Corneo, Akiomi Kitagawa, Kazuo Mino, Kazuhiro Yuki, and seminar participants at Osaka University, the 2006 Japanese Economic Association Autumn Meeting at Osaka City University, the Far Eastern Meeting of Econometric Society 2007 at Taipei, SER Conference 2007 at Singapore, and the European Meeting of Econometric Society 2007 at Budapest. All remaining errors are, of course, my own. The financial support from JSPS Research Fellowships for Young Scientists is greatly acknowledged.     

A refinement of the relationship between economic growth and income inequality

There is mixed evidence in the literature of a clear relationship between income inequality and economic growth. Most of that work has focused almost exclusively on developed economies. In what we believe to be a first effort, our emphasis is solely on developing economics, which we classify as high-income and low-income developing countries (HIDC and LIDC). We make such distinction on theoretical and empirical grounds. Empirically, the World Bank has classified developing economies in this manner since 1978. The data in our sample are also supportive of such classifications. We provide theoretical scaffolding that uses asymmetric credit constraints as a premise for separating developing economies in such a way. We find strong evidence of a negative relationship between income inequality and economic growth in LIDC to be in stark contrast with a positive inequality–growth relationship for HIDC. Both correlations are statistically significant across multiple econometric specifications. Using international data from 1960 to 2010, this article explores the effect of income inequality on economic growth using dynamic panel technique, such as system generalized method of moments (GMM) that is believed to mitigate endogenous problem. These results are strikingly contrasting to the previous estimation results of Forbes (2000) displaying significant positive correlation between two variables in the short to medium term.     

The measurement of inequality by components of income

Cowell (1977) considered the inequality by components of income (wages, property income, welfare, etc.). This note shows that this measurement problem can be elegantly handled in terms of informational inequality measures.     

When income differences hurt or excite: The nonlinear effect of regional inequality on subjective wellbeing

Combining information from the European Union Statistics on Income and Living Conditions and the European Social Survey, we investigate the relationship between subjective well-being and income inequality using regional inequality indicators and individual data. We assume that inequality aversion and perception of social mobility affect the impact of regional inequality on subjective well-being in opposite directions. We find evidence of an inverse U-shaped effect of inequality, where inequality starts to have a positive effect on subjective well-being that becomes negative with a switch point before the average of the Gini index for the entire sample. The rationale for our nonlinear finding is that Hirschman's tunnel effect (and the positive effect of perceived social mobility) prevails for low levels of inequality, while inequality aversion and negative relative income effects are relatively stronger when inequality is higher. Robustness checks on different sample splits are consistent with the hypothesis of the two drivers.     

International intellectual property rights: Effects on growth, welfare and income inequality

What are the effects of strengthening developing countries’ protection for intellectual property rights on economic growth and income inequality in the global economy? To analyze this question, we develop a two-country R&;D-based growth model with wealth heterogeneity. In this growth-theoretic framework, we show that strengthening patent protection in either country increases economic growth and income inequality in both countries. Furthermore, we derive the Nash equilibrium level of patent breadth and find that it is sub-optimally low relative to globally optimal patent breadth due to the positive externality effects that are captured by a spillover parameter.     

The impact of financial development,economic growth,income inequality on poverty: evidence from India

This paper examines the impact of financial development, economic growth and income inequality on poverty in India from 1970 to 2015 by employing the autoregressive distributed lag (ARDL) bounds testing procedure. The findings reveal a robust long-run relationship between financial development, economic growth, inequality and poverty. Results show that financial development and economic growth help in poverty reduction in India, whereas income inequality and inflation aggravate poverty. Empirical evidence of the Granger-causality test supports the presence of unidirectional causality from financial development and economic growth to poverty. Moreover, bidirectional causality exists between inequality and poverty. The present study provides evidence on which the policymakers may proceed with detailed investigation of how specific financial sector policies and interventions can be deployed as effective instruments for achieving favorable economic growth and income distribution. The study recommends that policies geared toward increasing financial development and economic growth should be adopted to reduce the high level of poverty and inequality currently prevailing in India.     

Capitalist systems and income inequality

The paper investigates the relationship between compositional inequality (how the shares of capital and labor income vary along income distribution) and inter-personal income inequality. Using a new methodology and data from 47 countries covering the period 1995–2018, we show that higher compositional inequality is associated with higher inter-personal inequality. This is clearly shown by Latin American countries and India. Nordic countries are exceptional because they combine high compositional inequality with low inter-personal inequality. Their exceptionalism is attenuated when pension income received from largely government-mandated accumulated savings is added to capital income. The analysis shows the theoretical possibility of societies where low compositional inequality may be combined with high income inequality. Currently, China and the United States come closest to that position.     

Political regimes and income inequality

We construct a theoretically-motivated model of income inequality. Through a pooled regression on an international panel, we demonstrate that political regime (whether extractive, redistributive, or reinvestment-oriented) correlates with within-country income inequality.     

Educational opportunity and income inequality

Affordable higher education is, and has been, a key element of social policy in the United States with broad bipartisan support. Financial aid has substantially increased the number of people who complete university—generally thought to be a good thing. We show, however, that making education more affordable can increase income inequality. The mechanism that drives our results is a combination of credit constraints and the ‘signaling’ role of education first explored by Spence [Spence, A. Michael, 1973. Job Market Signalling, Quarterly Journal of Economics, 87(3) Aug., 355–374]. When borrowing for education is difficult, lack of a college education could mean that one is either of low ability or of high ability but with low financial resources. When government programs make borrowing or lower tuition more affordable, high-ability persons become educated and leave the uneducated pool, driving down the wage for unskilled workers and raising the skill premium.     

Technological progress and income inequality

Summary This paper examines the effects of Hicks-neutral, Harrod-neutral, and Solow-neutral technological improvements on the distribution of income in an overlapping generations economy with endogenous labor supply and a bequest motive. Income inequality in this model is generated by a stochastic process representing random variations in intergenerational transfers and pure luck. The comparative dynamics analysis trace the effects of the aforementioned technological changes in each and every period after they occur. These effects depend on the nature of the technological change and on the elasticity of substitution.We thank Carl Davidson, James Foster, and two anonymous referees for their useful comments.