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.     

Reforms and education inequality in Ghana

We analyze the evolvement of education inequality and the gender gap in Ghana before and after two major education reforms. Using different measures of inequality, our findings suggest that the gender gap at the basic school level has closed following the introduction of the education expansion policies, but inequalities persist at the postbasic school levels and across regions. We further demonstrate that the educational expansion–schooling inequality nexus is best illustrated by an inverted U-shaped Kuznets curve. We find that after an average of 6 years of schooling has been reached, inequality starts to decline, and gender equality can be achieved when the average years of schooling reach 9.     

The impact of education expansion on wage inequality

The findings on education expansion and income inequality have important implications for policymakers to implement effective policies to reduce income inequality. This study attempts to explain how education expansion affects income inequality by education distribution and the rate of return to education. We decompose the effect of education expansion on wage gaps into price effect and structure effect. We compare the income inequality from 2002 to 2013 using the Chinese Household Income Project (CHIP) 2002 and CHIP2013 survey data and employ FFL decomposition method. Our findings suggest that income inequality increased in 2013 and that income inequality among the high-income groups increased even more significantly. The structure effect of education expansion on income inequality is negative, when average education increases one year, the income gap between 80th and 20th will decrease 1.2%, in other words, education expansion decreases income inequality by allowing a wide range of individuals to attend college. However, this effect is offset by the price effect, which is positive and much more significant in magnitude. One extra year of average education will increase income gap by 29% which means that the demand for high-skilled labour is increasing faster than the supply and thus lead to the increasing premium for higher education return.     

The impact of rural electrification on income and education: Evidence from Bhutan

We investigate the impact of a rural electrification program on household income and children's schooling in rural Bhutan. Using propensity score matching, we find that electrification had a statistically significant impact on nonfarm income and education. Nonfarm income increased by 61 percent and children gained 0.72 additional years of schooling and 9 minutes of study time per day. We do not observe significant effects on farm income. Results are consistent and robust to different matching algorithms. Our findings indicate that investments in reducing energy deficit may help improve human welfare in Bhutan.     

When income differences hurt or excite: The nonlinear effect of regional inequality on subjective wellbeing

Combining information from the European Union Statistics on Income and Living Conditions and the European Social Survey, we investigate the relationship between subjective well-being and income inequality using regional inequality indicators and individual data. We assume that inequality aversion and perception of social mobility affect the impact of regional inequality on subjective well-being in opposite directions. We find evidence of an inverse U-shaped effect of inequality, where inequality starts to have a positive effect on subjective well-being that becomes negative with a switch point before the average of the Gini index for the entire sample. The rationale for our nonlinear finding is that Hirschman's tunnel effect (and the positive effect of perceived social mobility) prevails for low levels of inequality, while inequality aversion and negative relative income effects are relatively stronger when inequality is higher. Robustness checks on different sample splits are consistent with the hypothesis of the two drivers.     

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.     

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.     

我国城乡教育不平等与收入差距扩大的动态研究

通过构造一个内生收入函数模型,利用省级面板数据,本文实证研究了我国城乡教育不平等与收入差距扩大的动态关系.研究发现:城乡教育不平等是收入差距扩大的一个重要原因,城乡教育差距第上升1%,城乡收入差距将上升6.4个百分点;并且随着市场化改革的深入,教育差距对收入差距的影响越来越重要.     

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.     

Income Inequality and Economic Growth: Evidence from American Data

While most cross-country studies find a negative relationship between income inequality and economic growth, studies that use panel data suggest the presence of a positive relationship between inequality and growth. This paper uses a cross-state panel for the United States to assess the relationship between inequality and growth. Using both standard fixed effects and GMM estimations, this paper does not find evidence of a positive relationship between inequality and growth but finds some evidence in support of a negative relationship between inequality and growth. The paper, however, shows that the relationship between inequality and growth is not robust and that small differences in the method used to measure inequality can result in large differences in the estimated relationship between inequality and growth.     

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, consumption, and social-status seeking

Using the Chinese Urban Household Survey data between 1997 and 2006, we find that income inequality has a negative (positive) effect on household consumption net of education expenditures (savings) even after we control for household income. We argue that people save to improve their social status when social status is associated with pecuniary and non-pecuniary benefits. Rising income inequality can strengthen the incentives of status-seeking savings by increasing the benefit of improving status, and by enlarging the wealth level required for status upgrading. We also find that the negative effect of income inequality on consumption is stronger for poorer and younger people and that income inequality stimulates more education investment, which are consistent with the status-seeking hypothesis.     

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.     

Heterogeneity in Ability and Inheritance,Disparities, and Development

This paper investigates the impact of income inequality on economic growth. A two-period overlapping generations model is developed where agents are heterogeneous in innate abilities and inheritance. In the first period, they receive their inheritance and their abilities are revealed. There are only two types of abilities: high and low. Individuals decide on their education level, and divide their inheritance between spending on education and saving. In the second period, individuals supply their labor and allocate the labor income and the return to their saving between consumption and bequests to their offsprings. Initial capital stock is owned entirely by the capitalists. In this context, a more equal distribution of income enhances economic growth if the economy is lower than a threshold capital-labor ratio, while income inequality has an insignificant effect above this threshold. The predictions of the model are tested empirically using the Hansen (1999) threshold estimation. The results, using a panel of 70 countries for the period 1971-1999, suggest that there is a statistically significant threshold income per capita, below which the coefficient on the relationship between inequality and economic growth is significantly negative and above which the estimate is not significant.     

GROWTH, POVERTY, AND INEQUALITY IN LATIN AMERICA: A CAUSAL ANALYSIS, 1970–94

Taking advantage of consistent poverty and income inequality data for 12 Latin American countries between 1970 and 1994, we analyze the determinants of changes in the incidence of urban and rural poverty and in Gini coefficients over spells of years, stressing in particular the role of aggregate income growth. We find that income growth reduces urban and rural poverty but not inequality. We also find that income growth is more effective in reducing urban poverty if the levels of inequality and poverty are lower, and the levels of secondary education higher. We show that there is an asymmetry in the impact of growth on poverty and inequality, with recession having strong negative effects on both poverty and inequality. Since growth does not reduce inequality, economic cycles create ratchet effects on the level of inequality. However, post-structural adjustment growth is quite effective at reducing poverty, particularly if inequality is low.     

Income Inequality and Political Polarization: Time Series Evidence Over Nine Decades

Rising income inequality and political polarization have led some to hypothesize that the two are causally linked. Properly interpreting such correlations is complicated by multiple factors driving these phenomena, potential feedback between inequality and polarization, measurement issues, and the statistical challenges of modeling non‐stationary variables. We find that a more precise measure of inequality (the inverted Pareto–Lorenz coefficient) is more consistently and statistically related to polarization in the short and long runs than the less precise top 1 percent share of income. We find bi‐directional causality between polarization and inequality, consistent with theoretical conjecture and less formal evidence in previous studies.     

Social security, public education and the growth-inequality relationship

We study how the relationship between economic growth and inequality depends upon the levels of funding of two of the largest government programs, public education and social security. We do this in the context of an overlapping generations economy with heterogeneous agents where the government collects a tax on labor income to finance these programs. We show that in our model an increase in government spending on social security reduces income inequality and can have a non-monotonic effect on growth. When the initial level of social security funding is low, as is the case in most poor economies, then its increase will enhance growth. When its funding level is high as is typical for developed countries, we show that its further increase can slow down growth while reducing income inequality. These results obtain regardless of whether the increase in social security funding is financed by a tax increase or by cutting the public education budget. We also find that the effects of increasing the level of public education expenditures or the overall size of the government budget (holding the budget composition fixed) are characterized by similar non-monotonic growth-inequality relationships.     

Public Education, Occupational Choice, and the Growth-Inequality Relationship

This article develops a dynamic general equilibrium model in which the occupational structure of the economy drives a wedge between the social and private returns to schooling for some workers. I study the impacts of alternative allocations of public resources between basic and higher levels of education on enrollments, income distribution, and growth. In particular, I illustrate how the growth-inequality relationship depends on the tension between two forces: (1) the "trickle-down" effects of expenditures on higher education and (2) the positive impacts on secondary enrollments generated by high-quality basic education and reduced parental inequality.     

Dynamics of the growth–inequality nexus in China: roles of surplus labor,openness, education,and technical change in province-panel analysis†

The paper examines the complex interrelationship between economic growth and the urban–rural income inequality in China by estimating a simultaneous equation system. This study uses a panel data-set that covers 29 provinces from 1988 to 2007, and compares the earlier period with the later period. It finds a robust and positive impact of the rural surplus labor on urban–rural inequality, which is consistent with Lewis’ dual economy theory. Economic growth is found to aggravate the urban–rural inequality in the earlier period, but there is no hard evidence in the later period. This implies that China has not yet, or at least by 2007, entered the second stage of the Kuznets curve. We also find no robust evidence on the impact of the inequality on growth in either period, but find robust evidence on the impact of both foreign direct investment and exports on the increasing inequality during the earlier period, whereas no significant impact in the later period is found. Finally, the spread of education reduced the inequality in the earlier period, but no such impact is robust in the later period.     

How do income and education affect health inequality: evidence from four developing countries

Using household survey data from four countries ? Albania, Nepal, Tajikistan and Tanzania ? this article calculates income-related inequality in health care utilization. We measure health disparity separately for generally and chronically ill individuals by constructing two models: one for the probability of a visit to a physician and another for the number of visits. Following model-based measurements, we decompose inequality into two major parts: one accounted for by identity-related factors and another by socioeconomic and other factors such as education, geography and distance to a clinic. We propose a new method to quantify the effect of changes in income and education on health disparity. One of our important findings suggests that health disparity is pro-rich in all our sample countries. The pro-rich disparity is prevalent among generally ill as well as chronically ill patients, in both visit probability and visit frequency models. Health inequality seems primarily driven by income differences followed by nonidentity factors. Further, the principle of equal treatment for equal need is not fulfilled in any of our countries. Among policy implications, increasing average income and education in a way that also reduces disparity in income and education, respectively, will substantially shrink inequality in health care utilization.