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.     

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 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.     

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.     

Income inequality and income bias in voter turnout

In the era of growing income inequality around the world, it remains inconclusive how higher income inequality affects income bias in turnout (i.e., high-income citizens vote more likely than low-income citizens). Using large-scale cross-national survey data, we show that (1) strong income bias in turnout exists in many parts of the world, (2) higher income inequality is related to lower income bias in turnout by demobilizing high-income citizens and mobilizing low-income citizens, and (3) this relationship is partly explained by the pattern that vote buying is more common in societies with higher income inequality and thus mobilizes low-income citizens but decreases political efficacy among high-income citizens. Ultimately, this study suggests that growing income inequality may not exaggerate political inequality, but may challenge the legitimacy of democratic elections.     

Calculation and decomposition of income inequality in low- and middle-income countries: a survey data analysis

This article estimates income inequality in a sample of four low- and middle-income (LMI) countries namely; Albania, Nepal, Tajikistan and Tanzania using the household survey data – Nepal Living Standard Measurement Survey Second. First, we estimate the income generation function for each country and calculate the income inequality using Gini index (GI). Second, we decompose the income Gini into the determinants of income generation functions. Based on the decomposition result, socio-economic factors are the most important determinants of income inequality followed by geographic factors. Demographic factors have the least effect on income inequality in all four countries. Third, we propose a new method to quantify the effect of change in each covariate of income generation function on income Gini. That allows us to quantify the effects of change in specific policy such as increase in investment in schooling or public health to specific group of the population in society on income inequality. A carefully chosen, integrated policy can significantly reduce inequality in all four countries under study.     

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.     

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%.     

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.     

Financial development,control of corruption and income inequality

This paper examines the effect of financial development and control of corruption on income inequality in 21 Sub-Saharan African (SSA) countries over the period 1985–2011 using the pooled mean group (PMG) estimator. The empirical results show that financial development measures have positive impact on income inequality, which suggest that financial development increases income inequality. On the other hand, the coefficients of control of corruption are negative and significantly related to income inequality which implies that corruption control reduces income inequality. Further, the interaction of the financial development and the control of corruption is found to be negatively and significantly related to income inequality. Equally the interaction of the financial development and transparency index (an alternate measure of corruptibility) is found to be negatively and significantly related to income inequality. These findings suggest that the control of corruption and transparency in governance are crucial in reducing income inequality in SSA.     

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.     

Foreign direct investment,growth and income inequality in less developed countries

How does foreign direct investment (FDI) affect economic growth in less developed countries (LDCs)? What is its association with changes in the income distribution? This paper empirically examines these issues within a cross section of less developed countries between 1970 and 1989. FDI is positively associated with economic growth within this sample of countries. However, there is no strong association between FDI and changes in income inequality within these same countries and over this same time period. Hence, there is no evidence that FDI is increasing income inequality within this group of LDCs.     

Income inequality, democracy and growth reconsidered

Persson and Tabellini (Persson, T., Tabellini, G., 1992a. Growth, distribution and politics. Eur. Econ. Rev. 36, 593–602; Persson, T., Tabellini, G., 1992b. Growth, distribution and politics. In: Cukierman, A., Hercowitz, Z., Leiderman, L. (Eds.), Political Economy, Growth, and Business Cycles. MIT Press, Cambridge, MA, pp. 3–22; Persson, T., Tabellini, G., 1994. Is inequality harmful for growth? Am. Econ. Rev. 84, 600–621) as well as Alesina and Rodrik (Alesina, A., Rodrik, D., 1992. Distribution, political conflict, and economic growth. In: Cukierman, A., Hercowitz, Z., Leiderman, L. (Eds.), Political Economy, Growth, and Business Cycles. MIT Press, Cambridge, MA, pp. 23–50; Alesina, A., Rodrik, D., 1994. Distributive politics and economic growth, Q. J. Econ. 109, 465–490) have argued that income inequality reduces economic growth rates among democracies because it promotes distributional struggles. In this paper I question the supportive evidence for a number of reasons. Measures of income distribution and democracy are unreliable and permit only very tentative conclusions. Changes in data sources or recoding of some influential cases affect results. It is questionable whether equality effects on growth apply only within democracies, as a median voter interpretation of this relationship should make one expect. The general idea that distributional struggle hurts the growth prospects of nations, however, receives some empirical support.     

Land inequality and the transition to modern growth

Can the initial distribution of land, in a country's early history, affect its subsequent economic development? In this paper, I show that when land ownership is sufficiently concentrated, the landed elite will lobby the government to raise barriers to industrialization in order to protect its rents in the rural economy. I develop a small open economy model in which barriers take the form of tariffs on the imports of intermediate inputs used in industry. Such tariffs can affect both the timing and the pace of industrialization. The quantitative application of the theory is motivated by an important question in economic history: why did Argentina not replicate Canadian economic success, despite reasonable expectations to the contrary in the late 19th century? I provide evidence that Argentina had a markedly higher inequality in land ownership than Canada. Taking as given the observed differences in land distributions in the early 20th century, the model produces differences in equilibrium tariffs similar to the ones observed at the time, and the ones required to account for the Canadian–Argentine income gap until 1950. Over time however, as land becomes unimportant in production, land inequality ceases to be a source of policy disparities and income gaps.     

Testing structural benefit transfer: The role of income inequality

How the valuation of environmental goods is related to income is a key question for economics, but the role of income inequality is often neglected. We study how income inequality affects the international transfer of the estimated value of environmental goods from a study to a policy site—a practice called value or benefit transfer. Specifically, we apply theory-driven, structural transfer factors to test whether adjusting for income inequality affects errors made in benefit transfer, drawing on a multi-country valuation study on water quality improvement. Our convergent validity analysis shows that the structural income inequality adjustment reduces benefit transfer errors by between 1.5 and 1.8 percentage points on average across all transfers. We therefore find that adjusting for income inequality offers only a minor improvement of benefit transfers as compared to adjusting for differences in mean income. Overall, our results shed light on the potential of structural approaches to benefit transfer for environmental valuation and public policy appraisal.     

Poverty decompositions with counterfactual income and inequality dynamics

Traditional poverty accounting decomposes changes in a country's poverty headcount ratio into changes in income and inequality. We argue that this approach is unsatisfactory from the perspective of policy analysis because it compares a country in two points of time without taking the country's initial situation, and hence its potential for poverty reduction, into account. We thus suggest comparing traditional poverty decompositions with a counterfactual situation. This counterfactual indicates what a country starting from its initial situation could be expected to achieve in terms of income, inequality, and, hence, poverty developments. We construct those counterfactuals by modeling income and inequality trends characterized by convergence and a “Kuznets” relationship between inequality and development. Parameters in those relationships are estimated using PovcalNet survey data from 144 countries and we construct our counterfactual poverty predictions for 71 developing countries. While there is overall a tight relationship between actual developments and counterfactuals, we identify several cases, where both deviate from each other and discuss the policy implications. We also check for commonalities in differently performing countries and find that those who fell particularly short of expectations often underwent political transition and state fragility.     

Fuzzy measurement of income inequality: Some possibility results on the fuzzification of the lorenz ordering

Summary This paper starts from the premise that the concept of income inequality is ill-defined, and hence, it studies the measurement of income inequality from a fuzzy set theoretical point of view. It is argued that the standard (fuzzy) transitivity concepts are not compatible with fuzzy inequality orderings which respect Lorenz ordering. For instance, we show that there does not exist a max-min transitive fuzzy relation on a given income distribution space which ranks distributions unambiguously according to the Lorenz criterion whenever they can actually be ranked by it. Weakening the imposed transitivity concept, it is possible to escape from the noted impossibility theorems. We introduce some alternative transitivity concepts for fuzzy relations, and subsequently, construct a class of fuzzy orderings which preserve Lorenz ordering and satisfy these alternative transitivities. It is also shown that fuzzy measurement can be used to construct confidence intervals for the crisp conclusions of inequality indices.I wish to thank Ashish Banerjee, Kaushik Basu, Larry Blume, Gary Fields, Semih Koray, Tapan Mitra, Antony Shorrocks, Sinan Unur and two anonymous referees of this journal for insighthul comments and suggestions. I am also grateful to the participants of the 1993 Midwest Mathematical Economics Conference held in University of Wisconsin at Madison and the 2nd International Meeting of the Society for Social Choice and Welfare held in University of Rochester.     

Corporate profit tax,firm entry with unemployment,and income inequality

In this paper, we provide a general equilibrium analysis of corporate profit tax on income distribution, unemployment, and wage inequality. With firm dynamics in industrial sector, we identify a new channel through which profit tax affects income and wage inequality: profit tax cut will widen not only the wage gap between skilled and unskilled labor, but also exacerbate the wage inequality of unskilled labor among different sectors. The welfare effect of profit tax cut depends on unemployment deepening (labor-distortion effect) and more manufacturing firms enter the market (business-creation effect), eroding the market share of incumbent firms (business-stealing effect).     

Industrialization and spatial income inequality in rural China, 1986-921

Rural industrialization has been a dominant factor responsible for China's rapid economic growth over the last 18 years, but it has been accompanied by increased inter-regional income inequality. Using the most recent rural income data and two alternative Gini coefficient decomposition methods, this study finds that income inequality, especially inter-regional income inequality increased significantly in the period 1986-92. More than half of national income inequality was due to its inter-provincial component, and three quarters of inter-provincial inequality was due to its inter-zonal component. Uneven development of township and village enterprises has been a major cause of increased regional income inequality.     

Political capitalism: The interaction between income inequality,economic freedom and democracy

We study the relationship between income inequality and economic freedom for a panel of 100 countries for the 1971–2010 period. Using a panel Granger non-causality approach, we reject the null hypothesis of Granger non-causality running from income inequality to economic freedom, but not vice versa. From a series of dynamic panel estimations we show that the effect of income inequality on economic freedom is negative and robust to the inclusion of additional controls. In particular, inequality is negatively associated with those components of economic freedom related to international trade, domestic market regulation as well as the rule of law and property rights protection. We argue that the negative effect of inequality on economic freedom is due to the economic elite converting its economic power into de facto political power to defend its economic interests; these interests run counter to economic freedom, discouraging innovation and competition as well as protecting the elite's rents. Finally, we show that economic freedom decreases with income inequality even in democratic countries, suggesting that democratic institutions do not prevent economic freedom from eroding. We argue that the latter finding corresponds to a system of political capitalism or captured democracy, where a powerful economic elite can nevertheless exercise de facto political power by cooperating with politicians and other decision-makers for their mutual benefit.