Globalization and income inequality: A panel data econometric approach for the EU27 countries

This paper investigates the relationship between income inequality and globalization, measured with both trade and financial variables. We estimate an econometric model using appropriate panel data techniques for the EU-27 countries over the period 1995–2009. The analysis is also performed at subgroups of countries within the EU27, such as the Core, Periphery, High Technology, and the New EU Member countries. Overall, the results suggest that trade openness exerts an equalizing effect, while financial globalization through FDI, capital account openness and stock market capitalization has been the driving force of inequality in the EU-27 since 1995. The highest contribution to inequality stems from FDI. Although the trade impact remained robust, disparities were observed in the financial globalization effects within a certain group or among country groups. The recent financial crisis led to a significant rise in inequality only in the EU-periphery and the New Member states. The impact from the other control variables was either minor or insignificant.     

Trade,environment, and income inequality: An optimal taxation approach

In a small open economy, how should a government pursuing both environmental and redistributive objectives design domestic taxes when redistribution is costly? And how does trade liberalization affect the economy's levels of pollution and inequalities, when taxes are optimally and endogenously adjusted? Using a general equilibrium model under asymmetric information with two goods, two factors (skilled and unskilled labor), and pollution, this paper characterizes the optimal mixed tax system (nonlinear income tax and linear commodity and production taxes/subsidies) with both production and consumption externalities. While optimal income taxes are not directly affected by environmental externalities, conditions are derived under which under‐ or over‐internalization of social marginal damage is optimal for redistributive considerations. Assuming that redistribution operates in favor of the unskilled workers and that the dirty sector is intensive in unskilled labor, simulations suggest that trade liberalization involves a clear trade‐off between the reduction of inequalities and the control of pollution when the source of externality is only production; this is not necessarily true with a consumption externality. Finally, an increase in the willingness to redistribute income toward the unskilled results paradoxically in less pollution and more income inequalities.     

A new approach to the decomposition of the Gini income inequality ratio

The purpose of this research is to introduce a new approach to the decomposition of the Gini ratio into three components, supporting them with economic and statistical rigorous interpretations. The three components are: (i) the Gini inequalitywithin subpopulations; (ii) thenet contribution of the extended Gini inequalitybetween subpopulations; and (iii) the contribution of theintensity of transvariation between subpopulations. These components are weighted by the product of the population shares times the income shares of the corresponding subpopulations where the weights add to one.The decomposition introduced in this research is applied to the 1990 U.S. family income distribution. The population of families is disaggregated by types into the following subpopulations: (a) married-couple families; (b) male householder, no wife present; and (c) female householder, no husband present.     

Exploring the link between household debt and income inequality: an asymmetric approach

We investigate the relationship between household debt and income inequality in the USA, allowing for asymmetry, using data over the period 1913–2008. We find evidence of an asymmetric cointegration between household debt and inequality for different regimes. Our results indicate household debt only responds to positive changes in income inequality, while there is no evidence of falling inequality significantly affecting household debt. The presence of this asymmetry provides further empirical insights into the emerging literature on household debt and inequality.     

A theory of persistent income inequality

This paper explores the dynamics of income inequality by studying the evolution of human capital investment and neighborhood choice for a population of families. Parents affect the conditional probability distribution of their children's income through the choice of a neighborhood in which to live. Neighborhood location affects children both through local public finance of education as well as through sociological effects. These forces combine to create incentives for wealthier families to segregate themselves into economically homogeneous neighborhoods. Economic stratification combines with strong neighborhoodwide feedback effects to transmit economic status across generations, leading to persistent income inequality.     

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.     

Inflation volatility: A Bayesian approach

The ongoing trend of high inflation across much of the world has reignited interest in inflation volatility with varying foci and methods. In this paper, we employ a Bayesian framework to estimate inflation volatility using a sample of G20 countries. Estimation results suggest persistent heterogeneity in price volatility across time and countries. Furthermore, we use the Bayesian estimates of volatility to conduct several empirical analyses on the implications of interdependence of economies, development status for uncertainty. Further analyses on the determinants of price volatility suggest that trade openness, COVID-19, and the Ukraine crisis have positive impacts on volatility. Additionally, the nature of the political institutions and the share of manufacturing in total national output are also found to affect volatility to some extent.     

Changing income inequality: A distributional paradigm for Canada

This paper examines the major changes in income inequality in Canada since the 1970s and collects them as a distributional paradigm for Canada. It focuses on labour market changes in terms of shares of workers and earnings shares for lower earners, middle‐class workers and higher earners in a flexible general framework. Polarization of full‐time workers, loss of middle‐class earnings share and increase in a higher earnings gap are highlighted. Changing returns to human capital, role of demographics and cohort effects and declining labour share are examined. The paper also reviews evidence of changing economic mobility and estimating the role of inequality of opportunity.     

The response of household debt to income inequality shocks: a heterogeneous approach

This article explores the impact of changes in income inequality on household indebtedness using Pedroni's heterogeneous panel VAR. As a result, we find evidence in support of large cross-country heterogeneity in the responses of household leverage to income inequality shocks. We also find that such heterogeneity stems from differences in the strength of financial regulations and supervision.     

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.     

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.     

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.     

Microfinance and income inequality: New macrolevel evidence

This paper addresses the empirical question of whether microfinance has any impact on income inequality at the macrolevel. Very little research has been conducted on the relationship between the macrolevel scale of microfinance and income inequality over time in a country and across countries. Based on panel‐data techniques, with annual data from 85 countries from 2001 to 2012 and a broad theoretical framework on microfinance and inequality, we provide empirical evidence that suggests that increases in the macrolevel scale of microcredit in a country contribute to reducing income inequality within that country over time. Finally, since microfinance may be endogenous, we used instruments from the existing literature to control for this problem.     

Growth and income inequality: a canonical model

Summary. We develop an endogenous growth model with elastic labor supply, in which agents differ in their initial endowments of physical capital. In this framework, the growth rate and the distribution of income are jointly determined. The key equilibrating variable is the equilibrium labor supply. It determines the rate of return to capital, which in turn affects both the rate of capital accumulation and the distribution of income across agents. We then examine the impact of various structural shocks on growth and distribution. We find that faster growth is associated with a more unequal, contemporaneous distribution of income, consistent with recent empirical findings.Received: 7 October 2004, Revised: 18 February 2005, JEL Classification Numbers: O17, O40.Cecilia García-Peñalosa: Correspondence toGarcía-Peñalosa would like to acknowledge the financial support received from the Institut d’Economie Publique (IDEP), Marseille. Turnovsky’s research was supported in part by the Castor endowment at the University of Washington. The paper has benefited from seminar presentations at the University of California, Riverside, and the University of Kansas, as well as from the comments of an anonymous referee.     

ICT and income inequality: a cross-national perspective

The importance of information and communications technology (ICT) for economic growth and development is widely researched and seemingly well understood, but the effect of such investments on income inequality is less well documented. On the one hand, improvements in infrastructure are expected to expand economic opportunities for previously underserved populations. On the other hand, ICT growth may exacerbate inequality due to differential access and skill premiums. We use panel data from 109 countries during the period 2001–2014 to examine the empirical connection between ICT and income inequality in a cross-national context. Our results suggest that the effect of ICT on income inequality depends both on the specific type of ICT and on the measure of income inequality. In addition, the magnitude of ICT’s effect on income inequality is comparable to that of more traditional forms of economic infrastructure. Finally, we find that the association between ICT and income inequality is conditional on other economic and political characteristics.     

A panel analysis of income inequality and energy use

This paper investigates the relationship between energy consumption and income inequality in an unbalanced panel of 144 countries over the period 1990–2018. Using fixed effect and instrumental variable panel methods and controlling for other determinants of inequality, I find a large and strong negative relationship between energy use and income inequality. The paper also demonstrates that results hold for models which divide the total sample into subsamples of economic blocs and regions. In addition, greater energy use reduces the income share of the top 10% and increases the share of the bottom 40%.