THE SIZE DISTRIBUTION OF INCOME: AN INTERNATIONAL COMPARISON

This paper collects and extends the available data on size distribution of income by country, and then uses these data to develop an hypothesis about the relation of stage and mode of development to the distribution of income. In particular, the author attributes the increase in income inequality which often occurs in the early stages of economic development to the uneven spread of capitalist modes of production, which leads to a dualism which separates the capitalist sector from the rest of the economy. The author goes on to discuss the role of this dualism in increasing the inequalities existing in the society. Finally, the author contrasts the income distributions found in socialist countries with those of capitalist ones, and concludes that it is not economic growth per se , but rather the capitalist mode of production, which creates income inequalities in developing countries.     

Nonlinearity in the financial development–income inequality nexus

The majority of theoretical studies on the relationship between income inequality and financial development argue that financial deepening might be a feasible instrument for improving income distribution. This paper finds that the prediction crucially depends on the stages of financial development that the country is undergoing. The benefits of financial depth only occur if the country has reached a threshold level of financial development. Below this critical value, financial development counteracts income inequality. Our policy implication is that a minimum level of financial development is a necessary precondition for achieving reduction in income inequality through financial development.     

股市发展与收入分配不平等

股市发展与收入分配状况的关系是金融理论界和业界广泛关注的问题之一。本文构造全球33个国家从1988年至2013年有关股市发展和收入分配不平等的面板数据,实证研究各国股市发展及自由化改革对其收入分配不平等程度的影响及内在机理。研究发现：首先,一国股市规模越大,由于门槛效应的存在,其收入分配状况趋于恶化,而流动性的提升将在一定程度上改善其收入分配状况。其次,一国股市的发展对不同收入阶层存在不同的影响。最后,股市自由化前后,股市对收入分配状况的影响存在显著差异：股市自由化之后,股市规模的扩大和股市流动性的提升将在一定程度上改善收入分配状况。     

Growth, income distribution and well-being in transition countries

We apply several well-being measures that combine average income with a measure of inequality to international and intertemporal comparisons of well-being in transition countries. Our well-being measures drastically change the impression of levels and changes in well-being compared to a traditional reliance on income measures. Due to low inequality and moderate income levels, socialist countries enjoyed relatively high levels of economic well-being. In the transition process, rising inequality and falling incomes have led to a dramatic absolute decline in well-being and a considerable drop in relative well-being vis-à-vis non-transition countries. We also find a close correlation between income losses and inequality increases. While the transition has been successful in expanding political and civil rights, our indicators suggest that most transition countries are still below the level of economic well-being of the late 1980s.
JEL classification: D6, O15, P27.     

LIFE SATISFACTION AND INCOME INEQUALITY

Do people care about income inequality and does income inequality affect subjective well‐being? Welfare theories can predict either a positive or a negative impact of income inequality on subjective well‐being and empirical research has found evidence of a positive, negative, or non‐significant relation. This paper attempts to determine some of the possible causes of such empirical heterogeneity. Using a very large sample of world citizens we test the consistency of the effect of income inequality in predicting life satisfaction. We find that income inequality has a negative and significant effect on life satisfaction. This result is robust to changes of regressors and estimation choices and also persists across different income groups and across different types of countries. However, this relation is easily obscured or reversed by multicollinearity generated by the use of country and year fixed effects. This is particularly true if the number of data points for inequality is small, which is a common feature of cross‐country or longitudinal studies.     

Income Inequality and Macroeconomic Volatility: An Empirical Investigation

We explore the impact of macroeconomic volatility on the distribution of income. Using a cross‐section of developed and developing countries, we find that greater output volatility, defined as the standard deviation of the rate of output growth, is associated with a higher Gini coefficient and income share of the top quintile. The coefficients suggest that a strong effect on inequality resulting from a reduction in volatility: the Gini coefficient of a country like Chile would fall by 6 points if it were to reduce its volatility to the same level as Sweden or Norway. Our results seem not to be driven by the high‐inequality/high‐volatility Latin American countries.     

State‐owned Enterprises,Inequality, and Political Ideology

State‐owned enterprises continue to play a considerable role in many economies. In this study we empirically investigate the connections between these enterprises and inequality as mediated through political ideology. Using cross‐country data on the relative size of the state‐owned enterprise sector, we find strong empirical support for an inverted U‐shaped relationship between its size and income inequality. We also find strong evidence that left‐wing (vis‐a‐vis right‐wing) governments are associated with a larger state‐owned enterprise sector in countries with higher inequality. This result is robust to using cross‐sectional vs. panel data, different identification strategies, and various controls.     

Does economic freedom increase income inequality? Evidence from the EU countries

This paper examines the relationship between economic liberalization and income inequality in the EU using panel data for the 2000s. The empirical evidence suggests that economic freedom is strongly related to income inequality. However, not all areas of economic freedom affect income distribution similarly. Government size is robustly associated with inequality, and also when controlling for potential endogeneity in a dynamic panel data analysis. Regulation is linked to income inequality as well, whereas legal system and sound money have no significant effects on income distribution. In the case of freedom to trade internationally, the relationship differs between old (EU-15) and new (former socialist) EU countries.     

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.     

Infant mortality,relative income and public policy

Do health outcomes depend on relative income as well as on an individual's absolute level of income? We use infant mortality as a health status indicator and find a significant and positive link between infant mortality and income inequality using cross-national data for 93 countries. Holding constant the income of each of the three poorest quintiles of a country's population, we find that an increase in the income of the upper 20% of the income distribution is associated with higher, not the lower infant mortality. Our results are robust and not just caused by the concave relationship between income and health. The estimates imply a decrease in infant mortality by 1.5% for a one percentage point decrease in the income share of the richest quintile. The overall results are sensitive to public policy: public health care expenditure, educational outcomes, and access to basic sanitation and safe water can explain the inequality–health relationship. Thus, our findings support the hypothesis of public disinvestment in human capital in countries with high income inequality. However, we are not able to determine whether public policy is a confounder or mediator of the relationship between income distribution and health. Relative deprivation caused by the income distance between an individual and the individual's reference group is another possible explanation for a direct effect from income inequality to health.     

How Does Globalization Affect Income Inequality? A Panel Data Analysis

One of the major issues on the state of income inequality is the effect of globalization through foreign direct investment (FDI). It is well known that FDI inflows create employment opportunities for unskilled labor intensive countries. Hence, during recessionary (expansionary) periods, FDI outflows should cause an increase in a developing (developed) country’s unemployment rate, worsening income inequality. This study differs from the previous literature by employing the key variables FDI, trade volume, and GINI coefficient for a panel of three groups of countries (developed, developing, and miracle countries). We estimated panel cointegration coefficients via FM-OLS. Our results show that the effects of trade liberalization and FDI on income distribution differ for different country groups.     

Economic Growth Evens Out Happiness: Evidence from Six Surveys

In spite of the great U‐turn that saw income inequality rise in Western countries in the 1980s, happiness inequality has fallen in countries that have experienced income growth (but not in those that did not). Modern growth has reduced the share of both the “very unhappy” and the “perfectly happy.” Lower happiness inequality is found both between and within countries, and between and within individuals. Our cross‐country regression results suggest that the extension of various public goods helps to explain this greater happiness homogeneity. This new stylized fact arguably comes as a bonus to the Easterlin paradox, offering a somewhat brighter perspective for developing countries.     

The political economy of income comparisons and economic growth

The literature on income inequality has provided various explanations as to how income inequality can affect growth, with the emphasis on ideas such as investments in human capital, issues of occupational choice, or the redistributive policies of governments. Inequality not only has a direct effect on the distribution of consumption in an economy, but it also has a powerful effect on people's subjective sense of well being. This paper takes a novel approach by focusing on the way in which a government's choice of economic policy can be influenced by how individuals perceive themselves relative to other individuals, both within the country and in foreign countries. The chosen policy affects economic growth, with the assumption being that policies that promote growth also tend to result in more switching of individuals between income groups. We show that the government's optimal policy depends on the importance of both inside country and outside country income comparisons, the fraction of national income earned by the different income groups, the potential magnitude of economic growth, the probability of switching between income groups in the presence of growth, and the relative importance of the various income groups. The model predicts that a greater degree of inside country income comparison is bad for growth whereas more outside country comparison is good for growth.     

Development outcomes,resource abundance,and the transmission through inequality

The paper studies the effect of resource abundance on human development in light of two complementary hypotheses: (i) resource abundance increases the inequality of income distribution within a country and (ii) higher income inequality reduces human development. The estimation of a system of equations provides support to both hypotheses. In addition, results suggest that resource abundance might also affect human development by reducing the quality of institutions. However, while statistically significant, this effect is quantitatively small. Finally, there is evidence of a strong, negative direct effect of resource abundance on human development after controlling for inequality, institutional quality, and the level of per-capita income.     

Entrepreneurship and income inequality: a spatial panel data analysis

The main objective of this paper is to empirically analyze the relationship between entrepreneurship and income inequality. We use a spatial panel data analysis for both 33 high-income countries and 39 middle- and low-income countries over a period of 11 years. Estimation results and rigorous diagnostic analysis suggest that: (i) there is a strong support for the existence of an inverted U-shaped relationship between entrepreneurship and income inequality espoused by the Kuznets Curve hypothesis; (ii) the relationship between entrepreneurship and income inequality is negatively moderated by country’s level of economic development; (iii) regardless of income inequality levels, entrepreneurship has a non-linear relationship with income per capita; (iv) gross domestic expenditure on research and development exhibits significant negative impacts on entrepreneurship; (v) significant mixed effects on the likelihood of entrepreneurial activity are observed with governance, globalization, population growth rate, and competitiveness variables; (vi) there are significant mixed feedback effects on entrepreneurship; and (vii) there are statistically significant, positive as well as negative spatial spillovers to country-level entrepreneurial activity.     

Income inequality and export prices across countries

This paper provides theory and evidence on the links between income inequality within a destination country and the patterns of trade and export prices. The theoretical framework relates income inequality to product quality and prices using a simple demand composition effect. The model predicts that a more unequal income distribution in a destination country leads to higher average prices, though the effect is nonlinear and disappears for rich enough countries. The predictions are tested using detailed firm‐level data. Controlling for income per capita, prices are systematically higher in more unequal destinations, and the strength of this effect depends on income per capita. Results are particularly important for middle‐income countries and hold only for differentiated goods, and in particular for products with a high degree of vertical differentiation.     

Education and Income Inequality: New Evidence From Cross-Country Data

This paper presents empirical evidence on how education is related to income distribution in a panel data set covering a broad range of countries for the period between 1960 and 1990. The findings indicate that educational factors—higher educational attainment and more equal distribution of education —play a significant role in making income distribution more equal. The results also confirm the Kuznets inverted–U curve for the relationship between income level and income inequality. We also find that government social expenditure contributes to more equal distribution of income. However, a significant proportion of cross–country variation in income inequality remains unexplained.     

Perceptions of inequality

Individual perceptions of (income or wealth) inequality have strong effects on their decisions as economic agents or voters. It is therefore important to know more about the relation between perceived and measured inequality. We present a novel formal framework that is based on the assumption that people typically do not observe the entire income (wealth) distribution and that their guesses about the extent of inequality are based on “self-centered” reference groups. This framework predicts that perceptions of inequality will change along positions in the income distribution and that for a specific position various dimensions of inequality perception are related to each other. First, low (high) income individuals overestimate (underestimate) their own position. Second, subjective estimates of average earnings increase with the own income position. Third, high or low income people have different perceptions about the skewness and the “shape” of the income distribution (e.g. pyramid or diamond). Fourth, the subjective perception of inequality is lower for high-income individuals. Survey data from 40 countries provide strong support for the framework.     

The relationship between inequality and innovative activity: a Schumpeterian theory and evidence from cross‐country data

This article examines the effect of inequality on technological progress when innovations are protected by patents of finite length. It provides a Schumpeterian theory of the non‐linear relationship between income distribution and innovative activity in a dynamic general equilibrium setting. Additionally, the theory is empirically tested by investigating how inequality affects innovative activities in a cross‐country setting. Using two new data sets on inequality, one linear and two non‐linear dynamic panel data models are estimated. The results are robust to two common inequality measures. They support the hypothesis that there is an overall negative relationship between inequality and innovative activity and the relationship is non‐linear but not necessarily an inverted‐U.     

Taking down the wall: Transition and inequality

In this article, we investigate the main determinants of income inequality in the transition countries of Central and Eastern Europe and the Commonwealth of Independent States during the period 1990–2018. To this end, we address a major methodological challenge that lies at the core of the cross‐country literature on income inequality: the potential endogeneity of income per capita, which is largely ignored by most empirical studies. We adopt a two‐pronged empirical strategy by (1) using trading partners’ weighted average real GDP as an instrumental variable and (2) estimating the model via the two‐stage least squares approach for static models and the generalized method of moments estimator for dynamic models. Our empirical findings are consistent with the Kuznets curve that illustrates a nonlinear relationship between income inequality and the level of economic development. We also find that the redistributive impact of fiscal policy is statistically insignificant and taxation and government spending appear to have the opposing effects on income inequality in transition economies over the sample period.