An Empirical Test of the Institutionalist View on Income InequalityEconomic Growth within the United States

This paper analyzes the relationship between income inequality and economic growth within the United States using state level data. It describes income inequality in the U.S. since 1960, then employs a two-step causal model to test the institutionalist contention that income inequality leads to socio-political instability, which has a negative impact on economic progress. The empirical results offer support for the institutionalist view.     

Income Inequality and Economic Progress

A bstract . The institutionalist approach to income distribution and economic progress is compared to the conventional approaches such as neo classical and neo-Keynesian schools. A two step causal model reflecting the institutionalist view on the relationship of these two variables is constructed. The empirical results show that the greater the inequality in the distribution of personal incomes, the greater the level of socio- political instability , and that the greater the level of socio-political instability, the slower the economic progress.     

Uncertainty and the Economy of Exclusion: Insights from Post‐Keynesian Institutionalism

Critics of Pope Francis’s Evangelii gaudium argue that recent economic growth and reductions in inequality are evidence that his notion of the “economy of exclusion” is misguided. However, Francis alludes to another type of exclusion—increased uncertainty generated by technological change that affects citizens even in developed nations. Drawing from Post‐Keynesian institutionalist theory, this article argues that this condition is common in capitalism, and that grassroots reforms are needed to ensure shared prosperity.     

Linkages between income inequality,international remittances and economic growth in Pakistan

This paper explores the dynamic linkages between income inequality, international remittances and economic growth using time series data over the period of 1976–2006 in case of Pakistan. The cointegration analysis based on the bounds test confirms the existence of a long-run relationship between income inequality, international remittances and economic growth. Our results reveal that income inequality and international remittances enhance economic growth. The causality analysis based on innovative accounting approach shows bidirectional causal relationship between income inequality and economic growth and same is true for international remittances and income inequality. International remittances are cause of economic growth but not vice versa. Although we find support for Kuznets hypothesis but Pakistan is yet to benefit, in terms of reducing the gaps of income inequality, from the international flow of remittances and economic growth. The paper argues that, from a policy perspective, there is an urgent need for policy makers in Pakistan to reduce the widening gap of income inequality by focusing on income redistribution policies and to go beyond the traditional factors in balancing income inequality.     

THE DRIVERS OF INCOME INEQUALITY IN RICH COUNTRIES

Rising income inequality has recently come centre‐stage as a core societal concern for rich countries. The diagnosis of the forces driving inequality upwards and their relative importance remain hotly contested, notably with respect to the roles of globalization versus technology and of market forces versus institutions and policy choices. This survey provides a critical review and synthesis of recent research. The focus is on income inequality across the entire distribution, rather than only on what has been happening at the very top. We pay particular attention to include what has been learned from the analysis of micro‐data, to ensure that the coverage is not unduly US‐centric and to analyses of the interrelations between the different drivers of inequality. The marked differences in inequality trends across countries and time periods reflect how global economic forces such as globalization and technological change have interacted with differing national contexts and institutions. Major analytical challenges stand in the way of a consensus emerging on the relative importance of different drivers in how income inequality has evolved in recent decades.     

Global estimates of growth–inequality–poverty (GIP) triangle: evidence from World Bank’s classification countries

This study extended the concept of ‘growth–inequality–poverty (GIP) triangle’ by using the principle component approach which allows us to composite different poverty and inequality indicators into one single index that contains most of the useful information from the original dataset. Using the idea of GIP triangle, this study examines the long-run relationship among weighted poverty index (which comprises headcount ratio, poverty gap and squared poverty gap); weighted inequality index (i.e., Watts Index, Gini Index and MLD Index) and average monthly per capita income in the designated 138 countries according to World Bank’s classification over a period of 2005–2010. The data set mainly contain countries’ unit record household survey at least one which is conducted between the countries during the sample period. The regression model encompassing the impact of economic growth and income inequality on poverty reflects that income inequality increases poverty while economic growth decreases poverty. It indicates that the impact of inequality in increasing poverty is a somewhat greater than that of growth in average income in reducing overall poverty in a sample countries. The other regression model encompassing the impact of economic growth and poverty on income inequality showed that the poverty itself is also likely to be a barrier for poverty reduction; and inequality seems to predict lower future growth rates. The final regression model depicting the impact of poverty and income inequality on mean income of the household suggests that poverty itself reduces mean income of the household while income inequality increases economic growth. The results are interesting and simply suggest that whenever social institutions malfunction, the incidence of damage would usually be distributed unevenly over the society’s members.     

Wage inequality and the labor market impact of economic transformation: Croatia, 1970–2008

In this paper, we examine wage inequality and wage differentials in Croatia from 1970 to 2008 using two long aggregate time series on the distribution of income. We focus especially on changing income inequality related to educational and vocational attainment, changing income inequality within those groups, and how these two components of inequality were affected by the economic transformation from socialism to capitalism. We find that income inequality between groups rose moderately post-transformation, while overall inequality increased more sharply. This finding is consistent with a growing importance of individual rather than group productivity in labor market compensation, a change broadly consistent with the economic transformation of the Croatian labor market.     

Re-examining the relationship between economic growth and inequality in the New Member States

The link between income inequality and economic growth has raised many debates in the literature and has generated a large spectrum of results over time. This paper aims at analyzing the relationship between economic growth and income inequality, as well as their macroeconomic and institutional determinants in the New Member States, between 2000 and 2009. In the presence of a set of explicative variables, the economic growth influences the social inequality through a U-shaped relationship. Health, education and gross capital formation generate different direct and indirect effects on income inequality as the per capita GDP growths, while the transition indicators are found to be either common or specific determinants of inequality and growth.     

The Effect of Income Distribution on the Ability of Growth to Reduce Poverty: Evidence from Rural and Urban African Economies

The present study examines the extent to which income distribution affects the ability of economic growth to reduce poverty, based on 1990s data for a sample of rural and urban sectors of African economies. Using the basic‐needs approach, an analysis‐of‐covariance model is derived and estimated, with the headcount, gap, and squared gap poverty ratios serving as the respective dependent variables, and the Gini coefficient and PPP‐adjusted incomes as explanatory variables. The study finds that the responsiveness of poverty to income growth is a decreasing function of inequality, albeit at varying rates for the three poverty measures: lowest for the headcount, followed by the gap and fastest for the squared gap. The ranges for the income elasticity in the sample are estimated at: 0.02–0.68, 0.11–1.05, and 0.10–1.35, respectively, for these poverty measures. Furthermore while, on average, the responsiveness of poverty to income growth appears to be the same between the rural and urban sectors, there are substantial sectoral differences across countries. The results suggest the need for country‐specific emphases on growth relative to inequality.     

Legitimating Inequality: Fooling Most of the People All of the Time

Over the three decades leading up to the crisis of 2008, inequality dramatically increased in the United States and Great Britain. What stands out, but is seldom noted, is that this occurred within democracies where the relative losers—the overwhelming majority—could in principle have used the political system to block or reverse rising inequality. Why did they not do so? A glance at history reveals that peoples have only very infrequently contested inequality because they were led to believe that their inferior status in terms of income, wealth, and privilege was just, that it was not really so bad, or that it was necessary for their future well‐being. Ideological systems legitimated a status quo of inequality, or in more modern times even increasing inequality. This article surveys the manner in which inequality has been historically legitimated, first predominantly by religion, then predominately by economic thought. Attention is then focused on the manner in which contemporary economic science and its popular interpretations in the media have served to legitimate inequality in the U.S. since the mid‐1970s. The article concludes with a reflection on the unique conditions that enable the legitimation of inequality to be delegitimated.     

Can innovation improve income inequality? Evidence from panel data

Income inequality is a source of social instability and armed conflict, which in turn are detrimental to economic development. This study examines the role of innovation in income inequality in twenty-three developed countries, using a panel mean group estimator that takes cross-sectional dependence into consideration. Three income inequality indicators are used: the Standardized World Income Inequality Database (SWIID), the University of Texas Inequality Project (UTIP), and the Estimated Household Income Inequality (EHII). The innovation indicators are patent applications and patents granted. The empirical results based on the common correlated effect mean group (CCEMG) reveal that innovation widens income inequality. We also investigate whether the innovation–income inequality nexus is subject to a country’s level of globalization and financial development. The findings suggest that the interaction terms between innovation with these two variables have positive effects on income inequality, whereas innovation failed to reduce income inequality. Globalization and financial development are found to drive income inequality. The empirical results are robust to different income inequality and innovation measures as well as estimation techniques.     

Inequality and Crime: Separating the Effects of Permanent and Transitory Income*

Earlier studies on income inequality and crime have typically used total income or total earnings. However, it is quite likely that it is the changes in permanent rather than in transitory income that affects crime rates. The purpose of this paper is therefore to disentangle the two effects by, first, estimating region‐specific inequality in permanent and transitory income and, second, estimating crime equations with the two separate income components as explanatory variables. The results indicate that it is important to separate the two effects; while an increase in the inequality in permanent income yields a positive and significant effect on total crimes and three different property crimes, an increase in the inequality in transitory income has no significant effect. Using a traditional, aggregate, measure of income yields insignificant effects on crime.     

Individualism and Institutionalism Revisited: A Response to Professor Bush

A bstract . In the book which provoked individualist/institutionalist controversy in several journals, including this one, the author emphasized aspects of "muddled" thinking in the work of Clarence E. Ayres which he believes has brought forth neo-institutionalist contributions that are a "hodge-podge." Neo-institutionalism, he is convinced, is a form of historicism in Karl R. Popper's terms. Lord Robbins is quoted to prove that individualists do not necessarily espouse laissez-faire capitalism and extreme income inequality. F. A. Hayek is a conservative but some individualists are socialists. The distinction on which individualists base interpersonal comparisons of utility is not between normative and positive but between science and philosophy; Thorstein Veblen never attempted to build a bridge between science and value. The real issue between individualists and neo-institutionalists is individualism vs. collectivism.     

Inequality for Wage Earners and Self‐Employed: Evidence from Panel Data*

In this paper we highlight the importance of analysing the evolution of income inequality separately for employees and self‐employed workers. Using Spanish panel data on income and consumption for the period 1987–96, we find noticeable differences across these groups in the evolution of income inequality, and in the relative importance of the transitory and permanent components of income variance. The evolution of inequality is mainly explained by movements in the transitory component for the self‐employed and by the permanent component for the employees. Our results suggest that different policies should be implemented for each group.     

IFRS,financial development and income inequality: An empirical study using mediation analysis

Income inequality continues to be an issue of concern. Early work on economic development suggested that, as a country’s economy grows, incomes would rise and reduce any income disparities. However, there is growing evidence that as countries develop, income inequality actually worsens. Some studies argue that this is the result of financial development and the growth of the financial sector. Although there is a good deal of empirical research on the relationship between financial development and income inequality, there is no prior work that examines how accounting standards, in particular International Financial Reporting Standards (IFRS), might influence this relationship. This study examines the relationship of IFRS and financial development with income inequality using mediation analysis over the period from 1998 to 2018. The results indicate that the impact of IFRS on income inequality is mediated by financial development. Moreover, there is a direct relationship between IFRS and inequality.     

EFFECTS OF LABOR REALLOCATION ON PRODUCTIVITY AND INEQUALITY—INSIGHTS FROM STUDIES ON TRANSITION

From a theoretical perspective, the link between the speed and scope of rapid labor reallocation and productivity growth or income inequality is ambiguous. Do reallocations with more flows tend to produce higher productivity growth? Does such a link appear at the expense of higher income inequality? We explore the rich evidence from earlier studies on worker flows in the period of massive and rapid labor reallocation, that is, the economic transition from a centrally planned to a market-oriented economy in CEE. We have collected over 450 estimates of job flows from the literature and used these inputs to estimate the short-run and long-run relationship between labor market flows, labor productivity, and income inequality. We apply the tools typical for a meta-analysis to verify the empirical regularities between labor flows and productivity growth as well as income inequality. Our findings suggest only weak and short-term links with productivity, driven predominantly by business cycles. However, data reveal a strong pattern for income inequality in the short run—more churning during reallocation is associated with a level effect toward increased Gini indices.     

Natural inequality,production and economic growth

This paper explains why the effect of income inequality on productivity and growth is ambiguous. When income distribution exhibits inequality levels that are compatible with accepted criteria, productivity and growth ensue. When the divergence from an acceptable level of inequality occurs, then under certain conditions, we may expect lower (higher) production levels and lower (higher) levels of economic growth.     

Challenging The Spirit Level: Is There Really a Relationship between Inequality and Obesity?

This paper examines the proposition, set out in The Spirit Level, that inequality is associated with high levels of obesity. It reviews existing literature and uses British Household Panel Survey data to study how district‐level and regional‐level income inequality is related to obesity in the UK. This is likely to be the first study of its type that uses individual‐level data that is representative of the UK population. We find little evidence to support policies that reduce income inequality with the aim of reducing obesity levels in the UK.     

Distribution of income and expenditures across nations

This paper outlines a premise that state social and economic planning in recent decades were the outgrowth of Marxist doctrine, even though Marxism as an economic system failed to materialize. The paper addresses the rise of the New Left with its doctrine of radical economics and its influence for state planning. For this purpose, the paper compares 126 countries grouped by income distribution and income inequality. The findings indicate that richer economies perform better than economies of lesser income in the distribution and equality of income.     

Does GINI respond to income volatility in an asymmetric manner? Evidence from 41 countries

Previous studies that assessed the impact of income volatility (as a measure of economic uncertainty) on income inequality relied upon either cross-sectional data or panel data, mostly due to the lack of sufficient time-series observations. Now that enough time-series observations are available for many countries, we revisit the issue and assess the possible asymmetric effects of income volatility on income inequality in each of the 41 countries. We find short-run asymmetric effects in almost all countries, short-run impact asymmetric effects in 20 countries, and long-run asymmetric effects in 21 countries. There was much less support when we engaged only in symmetric analysis.