Inequality and growth in the United States: is there asymmetric response at the state level?

A previous study that tried to assess the impact of economic growth on income inequality in the U.S. used state-level data and an ARDL panel model to conclude that economic growth worsens income inequality in the U.S. In this article, we use the same data set but an ARDL time-series model applied to each state in the U.S. to show that the above conclusion is only valid in 20 states. Additionally, we use a nonlinear ARDL approach to show that the effects are asymmetric in the short run as well as in the long run. Significant long-run asymmetric effects reveal that in 28 states both an increase and a decrease in real output have worsened income distribution.     

The effect of growth volatility on income inequality

This paper assesses the long-run effect of growth volatility on income inequality using a comprehensive panel of annual U.S. state-level data during the 1945 to 2004 period. Using the pooled mean group (PMG) estimator, we find evidence supporting the hypothesis that larger growth volatility positively and significantly associates with higher income inequality. Our key finding is robust to alternative lag structures, conditioning variables, inequality measures, volatility indicators, time periods, and panel estimators. Our key finding does change for asymmetric effects, where larger growth volatility positively and significantly associates with higher income inequality only for positive economic growth. The volatility effect proves positive, but insignificant, for negative economic growth.     

Inclusive institutions,unequal outcomes: Democracy,state capacity,and income inequality

Although the relationship between democratic rule and income inequality has received important attention in recent literature, the evidence has been far from conclusive. In this paper, we explore whether the redistributive effect of democratic rule is conditional on state capacity. Previous literature has outlined that pre-existing state capacity may be necessary for inequality-reducing policies under democratic rule. In contrast to that intuitive view, this study argues that democratic rule and high state capacity combined produce higher levels of income inequality over time. This relationship operates through the positive effect of high-capacity democratic context on foreign direct investment and financial development. By making use of a novel measure of state capacity based on cumulative census administration, we find empirical support for these claims using fixed-effects panel regressions with the data from 126 industrial and developing countries between 1970 and 2013.     

STATE PATTERNS IN FAMILY INCOME INEQUALITY

It is well known that U.S. income inequality began to increase in the 1970s and increased sharply in the 1980s. Yet, what is less well known is that this upward trend was not uniform across states. Some states experienced almost no increase in family income inequality, while other states experienced dramatic increases. We use the variation in state trends to examine factors that may underlie shifts in U.S. income inequality. Among numerous factors, we include variables that allow us to examine the role that state and local economic development policy may play. Also, in examining state income inequality differences that could not be explained by economic factors, we explore the possibility that cultural and social norm factors affect state income inequality.     

Entropy-based China income distributions and inequality measures

ABSTRACT

We use information theoretic information recovery methods, on a 2005 sample of household income data from the Chinese InterCensus, to estimate the income distribution for China and each of its 31 provinces and to obtain corresponding measures of income inequality. Using entropy divergence methods, we seek a probability density function solution that is as close to a uniform probability distribution of income (with the least inequality), as the data will permit. These entropy measures of income inequality reflect how the allocation and distribution systems are performing, and we show the advantages of investigating province variation in income inequality using entropy measures rather than Gini coefficients. Finally, we use a sample of data from the China Family Panel Study to recover an estimate of the 2010 and the 2016 to investigate possible directions of inequality changes using these different additional data sources, given that the 2015 Inter-Census is not yet available.     

Effects of growing wage disparities and changing family composition on the U.S. income distribution

U.S. income inequality soared after 1979. The present paper estimates the contribution of increased earnings inequality to the surge in overall income inequality between 1979 and 1996. The direct contribution of increased earnings inequality is surprisingly modest. Even if male and female earnings inequality had remained unchanged at their 1979 levels, about two thirds of the observed increase in overall U.S. inequality would have occurred. Other factors contributing to higher overall inequality include the growing correlation of husband and wife earned incomes and the increasing percentage of Americans who live in single-adult families, families that typically have much more unequal incomes than husband–wife families.     

Does income inequality hinder economic growth? New evidence using Australian taxation statistics

Using taxation statistics, we first derive consistently defined Gini coefficients for the period 1942–2013 for Australia as a whole as well as its eight states and territories. While income inequality exhibited a downward trend until 1979, it has since been on the rise not only over time, but also across states and territories. We then proceed to examine the effect of inequality on economic growth after controlling for changes arising from investment in physical and human capital using available panel data across all states and territories (1986–2013). We find that inequality adversely affects economic growth with a couple of years delay, an outcome consistent with similar studies undertaken in the United States and Europe. Our findings suggest that policymakers can address rising income inequality by implementing measures that support, and enhance, human capital accumulation given its long-run economic and social benefits.     

The impact of income distribution on structural transformation: The role of extensive margin

I study the impact of income distribution on structural transformation. Empirical results suggest that income inequality induces lower share of employment in services sector, and this negative effect gets stronger as income level rises. To explain these facts, I present a multi-sector model with non-homothetic preference and heterogenous agents in terms of different income levels. In equilibrium, the individuals will not consume all the goods available in the market. While the income elasticity falls as income increases at the individual level, it may not at the aggregate level. The extensive margin of consumers is important to understand this result. Within this framework, I show that income inequality may have negative effects on an industry with income elasticity larger than 1. More importantly, this effect is getting stronger as income levels increase.     

Human capital and income inequality in India: is there a non-linear and asymmetric relationship?

The article attempts to provide empirical evidence on the relationship between human capital and income inequality in India in a non-linear and asymmetric framework. To capture both long-run and short-run asymmetries, we have employed the non-linear autoregressive distributed lag approach using the relevant data from 1970 to 2016. Findings of the article suggest that education expansion acts as a major factor in reducing prevailing high income inequality, that is an increase in average years of schooling results in more equal distribution of income. In contrast, high economic growth, inflation and trade openness create unequal distribution of income. The asymmetric causality test results indicate that there is unidirectional causality running from female human capital, economic growth and inflation to income inequality. From a policy perspective, we suggest that education expansion should be used as a powerful tool to mitigate income inequality by emphasizing the quality of education. At the same time, policies geared towards social benefits, inclusive education, training for unskilled workers and price stability should be encouraged to attain fair income distribution in India.     

Inequality-growth nexus under progressive income taxation

Within heterogeneous-household extensions of Romer’s (1986) one-sector representative agent model of endogenous growth, this paper finds that changes made to the U.S. statutory income tax in the past decades account for a substantial portion of the following stylized facts: (i) U.S. income inequality significantly deteriorates since the mid-1980s; (ii) the inequality-growth nexus displays a positive slope before and after the implementation of the Tax Reform Act of 1986 (TRA-86); and (iii) the slope of the inequality-growth nexus sharply declines between the pre- and post-TRA-86-reform periods, indicating less deterioration in real GDP per capita growth when pursuing a more equal income distribution after 1986. In addition to income inequality, the responses of several other measurements of inequality to changes in the tax code parameters are also explored.     

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.     

INCOME DISTRIBUTION IN THE U.S.S.R. IN THE 1980s

In 1989 Soviet authorities released unprecedented new data on the size distribution of income in the U.S.S.R. in the 1980s, including the distributions by republics. With the goal of providing a benchmark for evaluating the effect of current and future economic reforms on income distribution in the former Soviet Union, this paper estimates inequality measures for the new data. The estimation uses a simple nonparametric technique based on the Kolmogorov-Smirnov test to fit the Soviet data to a lognormal distribution. The results suggest that, for income from official sources, (1) inequality in the Soviet Union as a whole declined throughout the 1980s-both before and after Gorbachev's accession in 1985, and (2) income inequality was greater in the poorer, southern republics of the U.S.S.R. than in the north. While the inclusion of unofficial (unreported) private income would probably reinforce the second of these two trends, its effect on the first cannot be determined on the basis of available information.     

Aggregation bias-correcting approach to the health–income relationship: Life expectancy and GDP per capita in 148 countries, 1970–2010

A large amount of data consisting of 148 countries for the years 1970 to 2010 is analysed in the context of the health–income relationship. The literature suggests that the biased income–health effect obtained with macro data can be a result of the aggregation of individual concave income functions on average health. This aggregation problem is analysed in detail, and a bias-correcting method is proposed to overcome it. The results with new model alternatives show that they correct the income effects on average health in the right direction; that is, they produce smaller parameter estimates than biased models. Augmenting the results with the quantile regression approach, which is sensitive to health differences between countries, indicates that the poorest countries’ income gradient is still much larger than that of rich countries. However, the median life expectancy effect of the log of GDP per capita across the countries decreased during the sample decennials. The results for income inequality measured with the Gini coefficient indicate that the effects of inequality on health are still significant in the poorest countries but non-significant among rich countries after the year 2000. We argue that the proposed bias-correcting method retains the interest in macro health modelling and offers new model alternatives in other contexts.     

The role of financial systems for cross-country differences in the link between income and consumption inequality

This article discusses why consumption inequality stays low despite high income inequality in the U.S; but income inequality is closely followed by consumption inequality in China. We show that different financial systems can play a critical role in shaping the cross-country different links between income and consumption inequality. This phenomenon is consistent with the cross-country different relationships between income inequality and saving rates. Consumer credit expansion in the U.S. makes inequality much less serious for consumption than for income, and this result holds to an even larger extent if more domestic credit can be financed by foreign savings. But this is not the case in China, whose financial system focuses only on investment and trade while neglecting liquidity constraints on consumption. Our assertions accord well with evidence found from the U.S., China, and other related economies.     

Income inequality and FDI: evidence with Turkish data

This article explores how foreign direct investment (FDI) and other determinants impact income inequality in Turkey in the short- and long-run. We apply the nonlinear auto-regressive distributed lag (ARDL) modelling approach, which is suitable for small samples. The data for the study cover the years from 1970 to 2008. The empirical results indicate the existence of a co-integration relationship among the variables with asymmetric adjustment of the income distribution in the short- and long-run. The negative impact of FDI on the Gini coefficient, decreasing income inequality, is statistically significant in the short- and long-run, though with a quantitatively small impact in both cases. In the short run, GDP growth increases inequality initially, an effect that is reversed in the next period, increases in domestic gross capital formation decreases inequality, and increases in the literacy rate have very minor adverse effects on income equality. However, in the long run these variables have no statistically significant effects on the Gini coefficient. A reduction in the population growth rate reduces inequality in the short run but has no effect in the long run, whereas an increase in the rate reduces inequality in the long run but has no effect in the short run.     

Persistence and determinants of income inequality: The Brazilian case

Latin America, which is a region known for its high and persistent income inequality levels, experienced a significant decline in income inequality since the second half of the 1990s. Brazil is a particularly interesting case in Latin America. While the country presented notable economic growth and improvements in income distribution in the early 2000s, Brazil continues to experience high levels of income inequality in comparison with other Latin American or advanced economies. This research contributes to the literature by examining the key drivers of income distribution and the degree of persistence of income inequality among Brazilian states. This research also improves upon previous works by using more recent and comprehensive data and addressing concerns regarding heterogeneity and endogeneity by using the system GMM estimation method. Our findings show that income inequality is highly persistent across Brazilian states and that government policies including income transfer programs made important contributions to reduce income inequality in Brazil. This study also shows that the decline in labor income ratios between different ethnic groups and the increase of the share of formal jobs in the labor market contributed to reduce income inequality.     

The relationship between income inequality and aggregate saving: an empirical analysis using cross-country panel data

If the rich save more than the poor, an increase in income inequality raises aggregate saving. We investigate whether income inequality is positively related to aggregate saving ratio by estimating a fixed-effect model based on a panel data of 48 countries for the period 1991–2010. We find evidence that aggregate saving ratio increases with income inequality using various inequality measures. In particular, the effect of income distribution on saving is greater and statistically more significant with in financially developed, rich and OECD countries. It suggests that the rich save much more than the poor under advanced financial system and in a rich country. We also find that the relationship between income inequality and saving ratio is closer in the 2000s than the 1990s. This finding may result from financial development and the high income level in the 2000s.     

ECONOMIC FREEDOM AND INCOME INEQUALITY REVISITED: EVIDENCE FROM A PANEL ERROR CORRECTION MODEL

We investigate the causal relationship between income inequality and economic freedom using data from U.S. states over the period 1981 to 2004 within a panel error correction model framework. The results indicate bidirectional causality between income inequality and economic freedom in both the short and the long run. These results suggest that high income inequality may cause states to implement redistributive policies causing economic freedom to decline. As economic freedom declines, income inequality rises even more. In other words, it is quite possible for a state to get caught in a vicious circle of high income inequality and heavy redistribution. (JEL D63, H11)     

Reexamining the permanent income hypothesis with uncertainty in permanent and transitory innovation states

In this paper, we reexamine the permanent income–consumption relationship analytically and empirically, based on the innovation regime-switching (IRS) model developed in [Kuan, C.M., Huang, Y.L., Tsay, R.S., 2005. An unobserved component model with switching permanent and transitory innovations. Journal of Business and Economic Statistics, 23, 443–454]. A novel feature of the IRS model is that it explicitly allows for uncertainty in innovation states. When the labor income follows an IRS process, it is shown that the agent’s perception on the likelihoods of income innovations being permanent and transitory plays a crucial role in determining the optimal forecasts on the change of consumption. The effect of a current labor income innovation on consumption is a weighted average of two distinct effects resulting from permanent and transitory innovations with the weights equal to the perceived likelihoods of the respective states. Also, past innovations may affect consumption when there are revisions in the perceived likelihoods of previous states. Our empirical study on US data shows that consumption indeed reacts significantly to the perceived likelihoods of innovation states. However, even after controlling for the effect of state uncertainty, we find consumption vastly underreacts to permanent innovations in labor income but reacts about the right magnitude to transitory ones when compared with the prediction of the permanent income hypothesis. This evidence is similar to [Elwood, S.K., 1998. Testing for excess sensitivity in consumption: A state-space unobserved components approach. Journal of Money, Credit, and Banking, 30, 64–82] but in sharp contrast with that found in [Hall, R.E., Mishkin, F.S., 1982. The sensitivity of consumption to transitory income: Estimates from panel data on households. Econometrica, 50, 461–480].