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.     

TRENDS IN HOUSEHOLD WEALTH IN THE UNITED STATES, 1962–83 AND 1983–89

Using the 1983 and 1989 Surveys of Consumer Finances, I find evidence of sharply increasing house-hold wealth inequality over this period. Whereas mean wealth increased by 23 percent in real terms, median wealth grew by only 8 percent. The share of the top one-half percentile rose by five percentage points, while the wealth of the bottom two quintiles showed an absolute decline. The Gini coefficient increased from 0.80 to 0.84. Almost all the growth in real wealth accrued to the top 20 percent of wealthholders. In contrast, the degree of wealth inequality was almost identical in 1983 as in 1962, and real wealth growth was more evenly distributed across the wealth distribution. There is also evidence that the sharp increase in wealth inequality from 1983 to 1989 was due to a correspondingly sharp rise in income inequality, the increase of stock prices relative to housing prices, and relatively slow inflation.     

Growth still is good for the poor

Average incomes in the poorest two quintiles on average increase at the same rate as overall average incomes. This is because, in a global dataset spanning 121 countries over the past four decades, changes in the share of income of the poorest quintiles are uncorrelated with changes in average income. The variation in changes in quintile shares is also small relative to the variation in growth in average incomes, implying that the latter accounts for most of the variation in income growth in the poorest quintiles. In addition, we find little evidence that changes in the bottom quintile shares are correlated with country-level factors that are typically considered as important determinants for growth in average incomes or for changes in inequality. This evidence confirms the central importance of economic growth for improvements in living standards at the low end of the income distribution. It also illustrates the difficulty of identifying specific macroeconomic policies that are significantly associated with the growth rates of those in the poorest quintiles relative to everyone else.     

Finance,inequality and the poor

Financial development disproportionately boosts incomes of the poorest quintile and reduces income inequality. About 40% of the long-run impact of financial development on the income growth of the poorest quintile is the result of reductions in income inequality, while 60% is due to the impact of financial development on aggregate economic growth. Furthermore, financial development is associated with a drop in the fraction of the population living on less than $ 1 a day, a result which holds when conditioning on average growth. These findings emphasize the importance of the financial system for the poor.      

税收、收入不平等和内生经济增长

企业家(通过金融中介)从家庭借贷来支撑创新。二者在企业家的努力不为外人所见的情形下双方签订信用合同分享创新带来的垄断利润(即蛋糕)。两个有代表性经济人(企业家和家庭)的存在允许人们在内生经济增长模型里研究收入不平等。本文研究发现,企业家分配份额的增加一开始会提升增长速度,但是过了一定值后会拉低增长速度;而该份额的增加一直拉大企业家和工人间的收入差距。所以降低企业家获得的蛋糕的份额的分配改革可缩小收入差距。提高企业家来自创新的收入的税率将降低他们的努力程度,从而降低增长速度,但是该税率的提高有助于降低收入不平等程度。存款收入的税率提高尽管不会改变企业家的努力程度,但是也会降低经济增长速度,而且不会降低收入不平等(如果工人有一定比例的存款)。对于劳动收入(工人工资)的税率增加会加剧工人和企业家间的收入不平等,但对经济增长速度没有影响。     

Inequality,poverty and development

Dicussion explores the nature of the relationship between the distribution of income and the process of development on the basis of cross country data on income inequality. The results presented are based on a sample of 60 countries, including 40 developing countries, 14 developed countries, and 6 socialist countries. The approach adopted is essentially exploratory. Multivariate regression analysis was used to estimate cross country relationships between the income shares of different percentile groups and selected variables reflecting aspects of the development process which are likely to influence income inequality. The estimated equations are then used as a basis for broad generalizations about the relationship between income distribution and development. There was strong support for the proposition that relative inequaltiy increases substantially in the early stages of development, with a reversal of this tendency in the later stages. The propositions held whether the sample was restricted to developing countries or expanded to include developed and socialist countries. The process was most prolonged for the poorest group. There were a number of processes occurring "pari passu" with development which were correlated with income inequality and which can plausibly be interpreted as causal. These were intersectoral shifts in the structure of production, expansion in education attainment and skill level of the labor force; and reduction in the growth of population. The operation of these processes appeared to explain some of the improvement in income distribution observed in the later stages of development, but they did not serve to explain the marked deterioration observed in the earlier stages. The cross section results failed to support the stronger hypothesis that the deterioration in relative inequality reflected a prolonged absolute impoverishment of large sections of the population in the course of development. The cross country pattern showed average absolute incomes of the lower percentile groups rising as per capita gross national product rises, although slower than for upper income groups. The cross section results failed to support the view that a faster rate of growth is systematically associated with higher inequality than can be expected given the state of development realized. An appendix identifies data sources and problems.     

Can Income Inequality be Affected by the Interaction Between ICTs and Human Capital?: The Evidence from Developing Countries

Income inequality in developing countries remains a major concern. It has been established that higher inequality makes a greater proportion of the population vulnerable to poverty. This paper aimed to analyse the effect of the interaction between ICTs and human capital on income inequality in developing countries. Covering 89 developing countries for the period 2000 to 2015 and based on panel fixed effects instrumental variables technique, this study finds that the interaction between ICTs and human capital reduces overall income inequality on the one hand, and on the other, leads to an increase in the income shares of the poorest, and in particular relative to the richest in developing countries. Furthermore, the interaction between ICTs and human capital reinforces the impact of ICTs on income inequality in developing countries. These results suggest that prioritizing the acquisition of human capital by the poorest, as well as promoting access to and use of ICTs for the benefit of the poorest would significantly contribute to reduce overall income inequality and increase income shares of the poorest in developing countries.

     

Ability transmission,endogenous fertility and educational subsidy

In this study, we attempt to investigate how educational subsidy, childcare allowance and family allowance affect economic growth and income distribution on the basis of simulation models which incorporate intergenerational ability transmission and endogenous fertility. The simulation results show that financial support for higher education can both increase economic growth and reduce income inequality, especially if the abilities of parent and child are closely correlated. In contrast with educational subsidy, raising childcare allowance or family allowance has limited impacts on growth and income inequality.     

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.     

教育体系、收入分布与经济增长

本文使用一个包含物质资本与人力资本积累的世代交叠模型,研究不同的教育体系对经济增长的影响.我们发现,在公立教育体系下,最优的教育投资水平高于私立教育体系,收入差异也将会比在私立教育体系下下降得更快.因此,与私立教育体系相比,公立教育体系更有利于人力资本积累,在公立教育体系下一个国家将会有更高的经济增长率与更为平等的收入分布.     

我国收入不平等、金融发展和消费需求波动的实证研究:1978～2001

本文考察了收入不平等与总消费需求变动之间的联系,在高收入地区,不平等程度越大似乎消费需求波动越大,而在低收入地区,收入不平等越大,消费需求波动反而较小。本文找到证据表明金融发展水平能有助于解释为什么收入分配在高收入和低收入地区中影响消费需求的短期波动是不同的,本文的政策含义是,加快低收入地区如中西部的经济和金融发展步伐,加大金融发展相机调整的力度。     

How Does Fiscal Consolidation Impact on Income Inequality?

In this paper, we assess the impact of fiscal consolidation on income inequality. Using a panel of 18 industrialized countries from 1978 to 2009, we find that income inequality significantly rises during periods of fiscal consolidation. In addition, while fiscal policy that is driven by spending cuts seems to be detrimental for income distribution, tax hikes seem to have an equalizing effect. We also show that the size of the fiscal consolidation program (in percentage of GDP) has an impact on income inequality. In particular, when consolidation plans represent a small share of GDP, the income gap widens, suggesting that the burden associated with the effort affects disproportionately households at the bottom of the income distribution. Considering the linkages between banking crises and fiscal consolidation, we find that the effect on the income gap is amplified when fiscal adjustments take place after the resolution of such financial turmoil. Similarly, fiscal consolidation programs combined with inflation are likely to increase inequality and the effects of fiscal adjustments on inequality are amplified during periods of relatively low growth. Our results also provide support for a non‐linear relationship between inequality and income and corroborate the idea that trade can promote a more equal distribution of income.     

The stork, the plow, rural social structure and tropical deforestation in poor countries?

This study is an exploration of the relationships between income, demographic pressure, technological change in agriculture, and the structure of political economies in light of cross-country differences in deforestation. The study focuses on small farmers and shifting cultivation. The analysis is based on a model developed by Larson (1994) that accounts for rural poverty, rootlessness, and distribution of landholdings. Regression equations model the average annual rate of deforestation, the relative area under forests, and a recursive model that includes both the deforestation rate and the forested area. Deforestation was reasonably well explained by a dummy variable for Asia, a rank order variable of the amount of forested area in 1980, the gross domestic product per capita in 1990, the average annual population growth rate during 1981-90, and the percentage increase in value added to agriculture during 1981-90 in 1990 dollars. Findings indicate that a 10% increase in the population growth rate increased the rate of deforestation by 10.6%. A 10% increase in income per capita increased deforestation by 49.5%. The influence of income on deforestation followed Kuznet's U-shaped curve. The turning point for reduced deforestation was income of $3500 per capita. Only Central and South America are near this income level. An increase in 1 agricultural worker per household increased deforestation by 50%. A 10% increase in smallholders' share of agricultural land reduced deforestation by 3.4%. Countries with high rural rootlessness had 23.6% less relative area under forests, suggesting that rural rootlessness rather than poverty per se leads to deforestation. The recursive model shows that demographic pressures led to deforestation and were mediated by technological change. Political economy theories of deforestation received strong empirical support.     

Factor mobility and skilled–unskilled wage inequality in the presence of internationally traded product varieties

Most existing studies examine the issue of skilled–unskilled wage inequality by using models that are relevant only in the long-run. In addition, studies that utilise product variety models assume that varieties of producer services are non-traded. Using a product variety model, this paper examines the issue of the skilled–unskilled wage inequality when producer services are internationally traded. The paper shows that, irrespective of the size of income share of capital, inflow of capital (which can also be interpreted as foreign direct investment) has no effect on skilled–unskilled wage inequality in the short-run. However, in the long-run, inflow of capital can decrease the skilled–unskilled wage inequality. An increase in the price of the agricultural good can decrease the skilled–unskilled wage inequality in the short-run.     

Inequality and economic growth: the role of initial income

We estimate a panel model where the relationship between inequality and GDP per capita growth depends on countries’ initial incomes. Estimates of the model show that the relationship between inequality and GDP per capita growth is significantly decreasing in countries’ initial incomes. Results from instrumental variables regressions show that in Low Income Countries transitional growth is boosted by greater income inequality. In High Income Countries inequality has a significant negative effect on transitional growth. For the median country in the world, that in the year 2015 had a PPP GDP per capita of around 10000USD, IV estimates predict that a 1 percentage point increase in the Gini coefficient decreases GDP per capita growth over a 5-year period by over 1 percentage point; the long-run effect on the level of GDP per capita is around ??5%.     

贫富差别、城市化与经济增长——一个基于需求因素的经济学分析

贫富不均是近几年来我国经济发展相伴而来的一个重要现象。我们除了对它作价值判断,讨论公平与否之外,更加重要的是,确切地了解它对经济增长和经济效率的客观影响。本文从需求分析的角度讨论贫富差距扩大对经济增长的影响。我们引入熊彼特的观点,认为经济增长的动力来自于创新性研究,它可以提高商品质量并推动经济增长。通过构建一个基于二元结构(城市和农村)的两部门(消费者和厂商)模型,贫富差距就可以由农民的人口比例β和农民的相对贫穷程度d来衡量。由于高收入者对于优质商品有更强的支付意愿,收入分配状况影响在普通商品和优质商品之间进行的消费决策和厂商选择,进而影响为生产优质商品而进行的创新活动。结论是:在达到分离型均衡时,减少低收入者数量所引致的贫富差距缩小有利于创新,而提高低收入者收入所导致的贫富差距缩小则不利于创新。因此,推进城市化以减少农村人口比单纯增加农民收入更有利于经济的发展,是解决三农问题的根本方法。在经济发展水平和基尼系数给定的情况下,对跨国数据实证分析也支撑了我们的理论结果。     

GROWTH, INEQUALITY, AND POVERTY: A CAUTIONARY NOTE

Economic growth had less impact on poverty rates in the 1980s than in the 1960s. Could this be explained by Locke Anderson's observation that the higher median income, the greater the amount of growth needed to achieve a percentage point fall in the poverty rate? No, higher poverty rates are due instead to the rise in income inequality. With higher inequality, however, trickle down could be as effective in the 1990s as it was in the late 1960s. More generally, assessments of anti-poverty policy must recognize that inequality is as vital to changes in the poverty rate as growth in mean income.     

THE DISTRIBUTION OF INCOME AND WEALTH IN JAPAN

This paper reviews research on the distribution of income and wealth in Japan, identifies sources of data on income and wealth, and describes limitations of these data. Evidence that Japan's poorest income groups are relatively well-off is convincing, but there is less evidence that the overall distribution of income in Japan is more equal than in other OECD countries. Agricultural policy, social welfare policy, the tax system, trends in earnings differentials, and the role of the Japanese family are among the many factors that have shaped Japan's income distribution. The rapid appreciation of the stock market and land prices during the late 1980s led to greater inequality in the distribution of wealth. Rapid population aging is expected to lead to an increase in total national wealth relative to national income which may have an adverse impact on the distribution of income.     

Inequality,Redistribution, and the Financial Crisis: Evidence from Distributional National Accounts for Austria

In this paper, we provide novel findings regarding the distributional effects of the global financial and economic crisis and how redistribution operated during this time, using detailed data for Austria. We construct distributional national accounts for the period 2004–2016 by combining survey data, tabulated tax data, and detailed national accounts data. The comprehensive data set allows us to analyze the distribution of macroeconomic income growth across the income distribution and to explore the evolution of income inequality over time. Our results suggest that as the distribution of growth changed over time, this had considerable repercussions for inequality, which started to decline at the very beginning of the economic and financial crisis, but increased again after 2012. We find that capital income largely determined both the level and the dynamics of income inequality. Government spending was found to play a key role for redistributive effects across the income distribution. In particular, in-kind transfers redistributed pre-tax income to a large extent. Our results show further that individuals with lower educational levels and younger individuals faced negative growth in pre-tax income over the years and also benefited considerably from redistribution.