Income mobility of individuals in China and the United States

Although much has been written about annual income inequality in China, little research has been conducted on longer‐run measures of income inequality and on income mobility. This paper compares income mobility of urban individuals in China and the United States in the 1990s. The following questions are taken up: To what extent are measures of annual income inequality misleading indicators of long‐run income inequality? How much income mobility was there in China in the first half of the 1990s and how did this compare with mobility in other countries? Have real income increases been greater for the poor or the rich? How important is the variation in permanent incomes in China and how has this changed?     

Sources of Inequality: Measuring the Contributions of Income Sources to Rising Family Income Inequality

We develop a simulation method for measuring the impact of changes in the distributions of the main income sources on growth in family income inequality. We simulate the entire distribution of family income under the counterfactual, “What if the distribution of each source had not changed?” The simulation method allows us to evaluate the impact of changes at any point in the distribution as well as with multiple measures of inequality. We incorporate married‐couple and single‐person families, appropriately accounting for changes in the proportion married. We apply the simulation method to investigate the impact of changes in male earnings, female earnings, and capital income on the distribution of family income in the United States between 1969 and 1999. We find that changes in the distribution of male earnings account for more of the growth in family income inequality than do changes in any other source of income. Changes in the distribution of female earnings have reduced family income inequality.     

Income Mobility and Income Inequality in Rural China

The economic literature has argued for a long time that income mobility could attenuate the degree of cross-sectional inequality by offering people opportunities to improve their socio-economic position. Using the longitudinal data from the China Health and Nutrition Survey (CHNS) from 1989 to 2011, we measure income mobility as the degree to which longer-term incomes are distributed more or less equally than yearly income. Five main results are emphasized. First, there is strong income mobility in rural China that partly offsets yearly income inequality. Second, income mobility has decreased since the 2000s, indicating that income distribution is becoming more rigid. Third, mobility is mainly associated with transitory income fluctuations, particularly in the two tails of the distribution. Fourth, income mobility has an equalizing effect on income distribution. Fifth, we show that non-agricultural income mobility has substantially increased over the period and that its equalizing nature has also recently increased. While the development of the non-agriculture sector in rural China was a crucial factor in explaining the increase in rural inequality until the mid-2000s, we suggest that the large-scale generalisation of such non-agricultural opportunities partly accounts for the decline in rural inequality observed since the mid-2000s.     

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.     

代际流动约束下生育率与收入不平等关系的国际检验

收入不平等问题和人口生育率过低问题是当下中国面临的两大难题,但目前理论界关于人口因素与收入不平等关系的研究,很少从生育率视角来考察以及考虑代际收入流动在其中的作用.文章从理论与经验两个方面来考察生育率对收入不平等的影响,理论模型表明:在关于代际收入流动的假设下,一个经济体中生育率的提高会使穷人比重提高,进而拉大收入不平等.进一步地,文章利用1970-2011年76个国家(地区)面板数据的经验研究发现:(1)总和生育率的提高会拉大收入不平等,如果每个妇女平均多生育一个孩子,将会使基尼系数增加0.025;(2)以出生率作为总和生育率替代指标的实证结果与基准结果基本一致,这说明不同生育率测算指标高度相关且可相互替代;(3)对于代际收入流动弹性越高、收入水平越低或生育率越高的国家(地区),其生育率提高对收入不平等的拉大作用越大.文章关于生育率对收入不平等影响的作用机制和异质性特征的考察,对于我国如何在实施"全面二孩"政策下寻求应对严峻的收入分配问题之策提供了国际经验和启示.     

Bounding Lifetime Income Using A Cross Section Of Data

Measures of income inequality based on current income are well known to overstate lifetime income inequality for two reasons: intracohort mobility and the shape of the age-earnings profile. Utilizing the concept of age equivalence scales along with varying assumptions concerning the extent of intracohort mobility, the method presented bounds lifetime income inequality using only cross-sectional data from the CPS, 1967–86. As a result, we are able to analyze changes in lifetime inequality over this period.     

Household Debt,Consumption, and Income Inequality

Using the Johansen and Engle–Granger cointegration tests, we show that there is one cointegrating relationship between household debt, consumption, and income inequality in the United States for the period from 1929 to 2009. Given this result, we use a Vector Error-Correction model to further understand the dynamics among the three variables. Results indicate that increases in income inequality and consumption directly contribute to increases in household debt. Interestingly, the results reveal some feedback from household debt to income inequality. We also show that debt-driven consumption should be viewed with caution as the results show that increases in household debt correspond with future declines in the rate of consumption.     

SOME COMPARISONS OF THE CANADIAN-U.S. INCOME DISTRIBUTIONS

This paper compares the income distribution of Canada and the United States as well as other characteristics of the population such as the labour force and income trends in the two countries in the post-war years. In both countries family income distributions show similar degrees of inequality and similar movements in real incomes through time. However, an examination of Canadian data suggests that differences do exist in underlying patterns. For example, there are greater earnings differentials between skilled and unskilled workers in Canada than in the United States while on the other hand in the United States greater differences exist between family incomes with heads in different age groups than is the case in Canada.     

Income Mobility, Inequality and Social Welfare

It is often argued that an observation of rising annual income inequality need not have negative normative implications. The argument is that if there has been a sufficiently large simultaneous increase in mobility, the inequality of income measured over a longer time period can be lower despite the rise in annual inequality. In this paper, it is shown by example that if normative implications are drawn from a standard social welfare function, the set of circumstances put forward in the above argument are not sufficient to guarantee that social welfare will improve. The reason is that even though rising mobility does reduce longer term inequality, it also increases the variability of income profiles over time and the latter has a detrimental social welfare effect. Hence, there are two types of mobility: one which reduces inequality (regression to the mean), but another that increases inequality (relative movements uncorrelated with incomes). Further, if individuals' aversion to income variabiltiy is sufficiently larger than the social welfare judge's aversion to inequality, then an increase in mobility, no matter how large, cannot offset the negative normative effect of rising annual inequality.     

Non-Linearity and Cross-Country Dependence of Income Inequality

We use top income data and the newly developed regime-switching Gaussian mixture vector autoregressive model to explain the dynamics of income inequality in developed economies within the past 100 years. Our results indicate that the process of income inequality consists of two equilibria identifiable by high inequality and high income fluctuations, and low inequality and low income fluctuations. Our results also imply that income inequality in the United States is the driver of income inequality in other developed economies. High wages and capital gains are found to be the likely channels for the U.S. influence.     

INCOME DISTRIBUTION AND ECONOMIC GROWTH IN PUERTO RICO,ARGENTINA, AND MEXICO*

Has economic growth in developing countries led to increasing inequality in the size distribution of income? Following a brief review of the advantages and deficiencies of several traditional measures of income distribution, the author examines the evidence from Puerto Rico, Argentina, and Mexico in recent years. The findings suggest that the income shares received by the lower half and by the top 5 per cent of families in Puerto Rico and Mexico have declined from 1950 to 1963, while the income shares received by the bottom nine deciles of families in Argentina have also fallen during the same period. The rising Gini ratio and standard deviation of the logs of income, both indicating greater inequality, contrast with a declining coefficient of variation for all three countries. More detailed sectoral distributions for each year reveal greater equality within agriculture than non-agriculture for Puerto Rico and Mexico, while Argentina and the United States demonstrate less equality within agriculture. The trends in the countrywide distributions are consistent with the observation of the increasing differential between sectors, the increasing weight of the more unequal sector, and the increasing level of inequality within both sectors. These trends, however, are qualified by the particular set of measures which are applied to the data. Finally, the author speculates on possible explainations for these trends in terms of changes in the crop and industry mix.     

Intergenerational Earnings and Income Mobility in Spain

This paper contributes to the large number of studies on intergenerational earnings and income mobility by providing new evidence for Spain. Since there are no Spanish surveys covering long‐term information on both children and their fathers' income or earnings, we deal with this selection problem using the two‐sample two‐stage least squares estimator. We find that intergenerational mobility in Spain is similar to that in France, lower than in the Nordic countries and Britain, and higher than in Italy and the United States. Furthermore, we use the Chadwick and Solon approach to explore intergenerational mobility in the case of daughters and we find similar results by gender.     

Accounting for United States Household Income Inequality Trends: The Changing Importance of Household Structure and Male and Female Labor Earnings Inequality

Using a shift‐share analysis on March CPS data, this paper estimates the degree to which changes in labor earnings, employment, and marriage patterns account for household income inequality growth in the United States since 1979. The factors contributing to the rapid rise in income inequality in the 1980s differ substantially from those contributing to its slower increase since that time. Unlike findings for the 1980s when changes in the correlation of spouses' earnings accounted for income inequality growth, this factor is no longer a major contributor toward its continued increase. Additionally, the 2000s business cycle is the first full business cycle in at least 30 years where changes in earnings of male household heads accounted for declines in income inequality. Instead, the continued growth in income inequality in the 2000s was accounted for primarily by increases in female earnings inequality and declines in both male and female employment.     

Inadequate Bivariate Measures of Health Inequality: The Impact of Income Distribution*

Bivariate measures of health inequality are influenced by changes in two variables: health and a socioeconomic variable, such as income. For these measures, what is reported as an increase in health inequality might just as well be a reduction in income inequality. In particular, several papers have found that socioeconomic health inequalities in Nordic countries are no less than in other European countries. The correct interpretation could just be that income inequality is no higher in Nordic countries than in the rest of Europe. The problem is especially profound when the causality is running from health to income.     

RANK AND QUANTITY MOBILITY IN THE EMPIRICAL DYNAMICS OF INEQUALITY

Horizontal and vertical measures of inequality are related through mobility. The paper draws attention to two types of mobility: quantity mobility, which refers to mobility in income itself, and rank mobility, which refers to mobility in the position in the distribution of income. Individually matched census data for earnings in Israel are used to illustrate these concepts empirically. Mobility is measured between 1983 and 1995. It is shown that earnings in Israel are highly mobile. The high degree of earnings mobility implies that horizontal measures of inequality considerably overstate the underlying level of inequality. The method of errors in variables is used to distinguish between current and permanent mobility and inequality. Permanent earnings are more equal than current earnings and less mobile. Finally, the methodology is applied to PSID. It is shown that earnings were more mobile in Israel than in the United States.     

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.

     

Household Income Inequality and Income Mobility: Implications Towards Equalizing Longer-Term Incomes in India

This paper addresses three important questions. First, what are the trends, levels and sources of income inequality in India? Second, how have been the patterns of income mobility? And finally, exploring the relationship between income mobility and income inequality in the context of India. Results, based on recent India Human Development Survey (IHDS) longitudinal data, advocate that not only is income inequality very high, nonetheless, it has increased – mainly attributable to different income sources – in India. The paper also focused on whether or not this income mobility equalizes longer-term incomes. Results suggest income mobility has resulted in-albeit not robust- equalizing longer-term incomes. Thus, based on imperative findings, the paper suggests, the nature of longer-term well-being is crucial to designing policy interventions to effectively tackle inequality and in this context, economic mobility can be seen as an avenue to long-term equality.     

Income Inequality and Technology Diffusion: Evidence from Developing Countries*

We study the effect of within‐country income inequality on the diffusion of mobile phones using data on market penetration in a sample of developing countries from 1985 to 1998. Mobile phones are an example of international technology, originating in industrialized countries and diffusing worldwide. We find that income inequality, as measured by the income share of the highest earning deciles, has a positive effect on the early diffusion of mobile phones and that the estimated effect becomes greater when a measure of agricultural endowments is used as an instrument. The instrumental variable results are robust to weak instruments. Our findings suggest that the diffusion of new technologies originating from industrialized countries may generate yet another channel that links inequality and development.     

A COMPARISON OF ALTERNATIVE MEASURES OF ECONOMIC WELL-BEING FOR GERMANY AND THE UNITED STATES

This paper, using six waves of data (1984-89) from the United States Panel Study of Income Dynamics (PSID) and the German Socio-Economic Panel (GSOEP), compares economic well-being using single year income, multi-year income, and wealth as measures. We find inequality to be greater in the United States than in Germany regardless of the measure used. However, the relative degree of inequality varies across measures. When we disaggregate our data by age and gender categories, in general we find greater inequality in the United States, but wealth inequality among older Germans is greater than it is among older Americans.     

Housing and Income Inequality in Europe: Distributional Effects of Non-Cash Income From Imputed Rents

This article uses survey data to estimate non-cash income from imputed rents, using a consistent methodology for all countries to assemble comparable statistics that allow for a valid inter-country comparison. We can confirm a significant impact of non-cash income and find an inequality-decreasing effect for the unconditional income distribution which highly correlates with the proportion of owner-occupiers in the respective countries. However, aggregated inequality measures are not suited to analyze the increase in the conditional income inequality between owner-occupiers and renters, who do not obtain income from imputed rents by definition. Therefore, we apply a reweighting decomposition that controls for the heterogeneous housing characteristics among European countries and allows us to decompose the distributional changes into a part that is explained by the proportion of tenure types and household size and a remaining part that reflects the relative dispersion of imputed rents along the income distribution.