ECONOMIC FREEDOM AND GROWTH IN U.S. STATE‐LEVEL MARKET INCOMES AT THE TOP AND BOTTOM

This paper investigates the relationship between economic freedom and income growth and inequality across U.S. states over the period 1979–2011. The focus is on market income at the top and bottom of the income distribution. Results show that increases in overall freedom are associated with average income growth. When viewed separately, an increase in overall freedom is associated with larger income growth rates for income earners in the bottom 90% relative to the top 10%. Interestingly, results show that increases in overall economic freedom are related to larger relative growth rates for the top 10% incomes within high‐income states and larger relative growth rates for the bottom 90% incomes within low‐income states. Top‐to‐bottom income ratio regressions suggest a negative and statistically significant relationship between economic freedom and income inequality. (JEL D63, P16, R11)     

Factor Components of Inequality: A Cross‐Country Study

This paper uses data from the Luxembourg Income Study to examine some of the forces that have driven changes in household income inequality over the last three decades of the twentieth century. We decompose inequality for six countries (Canada, Germany, Norway, Sweden, the U.K., and the U.S.) into the three sources of market income (earnings, property income, and income from self‐employment) and taxes and transfers. Our findings indicate that although changes in the distribution of earnings are an important force behind recent trends, they are not the only one. Greater earnings dispersion has in some cases been accompanied by a reduction in the share of earnings which dampened its impact on overall household income inequality. In some countries the contribution of self‐employment income to inequality has been on the rise, while in others, increases in inequality in capital income account for a substantial fraction of the observed distributional changes.     

THE INEQUALITY OF EMPLOYMENT AND SELF-EMPLOYMENT INCOMES: A DECOMPOSITION ANALYSIS FOR THE U.K.

U.K. employment and self-employment income inequality are analysed over 1979–94/95. Robust inequality decompositions reveal occupation to be a relatively important and hitherto neglected determinant of earnings inequality. In contrast, self-employment income inequality is harder to explain, although occupation is also the most important single factor in the mid-1990s. The paper also provides a novel implementation of a decomposition of changes in Kolm's inequality index.     

A new approach to the decomposition of the Gini income inequality ratio

The purpose of this research is to introduce a new approach to the decomposition of the Gini ratio into three components, supporting them with economic and statistical rigorous interpretations. The three components are: (i) the Gini inequalitywithin subpopulations; (ii) thenet contribution of the extended Gini inequalitybetween subpopulations; and (iii) the contribution of theintensity of transvariation between subpopulations. These components are weighted by the product of the population shares times the income shares of the corresponding subpopulations where the weights add to one.The decomposition introduced in this research is applied to the 1990 U.S. family income distribution. The population of families is disaggregated by types into the following subpopulations: (a) married-couple families; (b) male householder, no wife present; and (c) female householder, no husband present.     

影响我国农村居民收入差距的主要因素:从收入构成角度的分解分析

This paper attempts to explore the causes behind the change of the inequality in China rural areas at the very beginning of this century by decomposing the inequality of the total per capita income into the contributions from different income components. Furthermore, we develop the decomposition method of Gini coefficients from the income components and use it not only in the static analysis but also in comparative static analysis. Namely it can be used to explore the change of the overall inequality by decomposing the change of Gini Coefficient from income components. The empirical results show that the wage from local employment, the income from agricultural household business and the incomes from non-agricultural household business are the three income components that made the largest contributions to the inequality of the total per capita income. The total contribution to the overall inequality of non-agricultural incomes was much more than that of agricultural incomes. The incomes from agricultural household business, the incomes from non-agricultural household business and the wages from migration made the positive impact on the increase of the overall inequality. The incomes donated by relatives and friends made the most important negative impact on the increase of the overall inequality.     

Income Growth and Earnings Variations in New Zealand, 1998–2004

This article analyses changes in the distributions of working‐age individuals' earnings and total income in New Zealand over the period 1998–2004. We find that there have been broad gains in income across the distribution, suggesting the spoils of growth have been shared widely. Mean and median earnings increased 15 and 23 per cent respectively, while mean and median income increased 12–13 per cent. Inequality, as measured by the Gini coefficient, was more stable: earnings inequality fell 4 per cent, while income inequality was unchanged. The main drivers of the changes were employment and real wage growth. We estimate that roughly one‐half of the growth in average incomes was due to employment growth, and one‐quarter each to demographic changes and wage growth. The relative employment and wage contributions varied across the income distribution: employment growth dominated gains at the lower end of the distribution, while wage gains dominated changes at the higher end.     

Inequality and the business cycle: evidence from U.S. survey data

ABSTRACT

We study the effects of macroeconomic shocks on measures of economic inequality obtained from U.S. survey data. To identify aggregate supply, aggregate demand, and monetary policy shocks, we estimate vector autoregressions and impose sign and zero restrictions on impulse response functions. We find that the effects of the macroeconomic shocks on inequality depend on the type of shock as well as on the measure of inequality considered. Contractionary monetary policy shocks increase expenditure and consumption inequality, whereas income and earnings inequality are less affected. Adverse aggregate supply and demand shocks increase income and earnings inequality, but reduce expenditure and consumption inequality. Our results suggest that different channels dominate in the transmission of the shocks. The earnings heterogeneity channel is consistent with the inequality dynamics after monetary policy shocks, but it appears to be less crucial when the economy is hit by either aggregate supply or aggregate demand shocks. Using variance decompositions, we find that although the macroeconomic shocks account for large shares of the variation in the macroeconomic variables, their contributions to the dynamics of the inequality measures are limited.     

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.     

An Investigation into the Positive Effect of an Educated Wife on Her Husband’s Earnings: The Case of Japan in the Period between 2000 and 2003

We analyze the effect of a wife??s human capital on her husband??s earnings, using individual-level data for Japan in the period 2000?C2003. We find a positive association between a wife??s education and her husband??s earnings, which can be attributed to the assortative mating effect as well as the positive effect of an educated wife on her husband??s productivity. We divide the sample into those couples with non-working wives and those with working wives, and also employ an estimation strategy proposed by Jepsen (Review of Economics of the Household 3:197?C214, 2005), attempting to control for the assortative mating effect. Our regression analysis provides suggestive evidence that educated wives increase their husbands?? productivity and earnings only when they are non-workers and have sufficient time to support their husbands.     

INTERGENERATIONAL INCOME MOBILITY IN SWEDEN: WHAT DO TAX‐DATA SHOW?

The aim of this paper is to investigate intergenerational income mobility in Sweden by means of a representative sample drawn from tax-data files. Longitudinal data on actual parent-child pairs spanning 1978–92 are employed. Regression and correlation coefficients are analyzed and transition matrices calculated in order to investigate income mobility over generations. The results achieved show high intergenerational income mobility in Sweden between fathers and sons in comparison to estimations performed in most other countries and more especially compared to the U.S. This indicates that Sweden does not only have lower cross-sectional income inequality, but also higher intergenerational income mobility than those countries. The mother's earnings influence children's earnings less than the father's. However, the mother's earnings correlate more strongly with a daughter's earnings than they do with that of a son. The major indication of immobility across generations is found in the upper income deciles.     

Inequality trends for Germany in the last two decades: A tale of two countries

In this paper we first document inequality trends in wages, hours worked, earnings, consumption, and wealth for Germany from the last twenty years. We generally find that inequality was relatively stable in West Germany until the German reunification, and then trended upwards for wages and market incomes, especially after about 1998. Disposable income and consumption, on the other hand, display only a modest increase in inequality over the same period. These trends occurred against the backdrop of lower trend growth of earnings, incomes and consumption in the 1990s relative to the 1980s. In the second part of the paper we further analyze the differences between East and West Germans in terms of the evolution of levels and inequality of wages, income, and consumption.     

USING THE P90/P10 INDEX TO MEASURE U.S. INEQUALITY TRENDS WITH CURRENT POPULATION SURVEY DATA: A VIEW FROM INSIDE THE CENSUS BUREAU VAULTS

The March Current Population Survey (CPS) is the primary data source for estimation of levels and trends in U.S. earnings and income inequality. However, time-inconsistency problems related to top coding lead many CPS users to measure inequality via the ratio of the 90th to the 10th percentile (P90/P10) rather than by more traditional summary measures. With access to public use and restricted-access internal CPS data, and by applying bounding methods, we show that using P90/P10 does not completely obviate time-inconsistency problems, especially in capturing household income inequality trends. Using internal data, we create consistent cell mean values for all top-coded public use values that, when used with public use data, closely track inequality trends in earnings and household income using internal data. But estimates of longer-term inequality trends with these corrected data based on P90/P10 differ from those based on the Gini coefficient. The choice of inequality measure still matters.     

The benefits and costs of the deferral of U.S. Taxes on retained earnings of controlled foreign corporations

This paper develops and applies a model to measure the effects of deferral on world and U.S. incomes. It is assumed that elimination of deferral would be accompanied by a compensating reduction in the U.S. corporate income tax rate which would leave the overall tax burden of corporations unchanged. The results of the model support several conclusions: Deferral has a positive net effect on world income, but has a negative effect on U.S. income; over two-thirds of the income gains of foreign countries due to deferral goes to developed or oil-exporting countries; and the Tax Reform Act of 1976 has roughly doubled the importance of deferral.     

Can the link between functional and personal income distribution enhance the analysis of inequality?

The aim of this paper is to present a framework which links functional and personal income distribution. In the first part of the paper, Piketty’s book “Capital in the XXI Century” is briefly reviewed. Piketty’s framework is discussed arguing that it can only partially explain levels and changes within personal income distribution. Piketty links the returns from capital r to the rate of growth of national income g in a very innovative way comparing them within a macroeconomic framework. He claims that when returns on capital rise more quickly than the overall economy and taxes on capital remain low, a vicious circle of ever-growing dynastic wealth and growing concentration of wealth takes place. However, the rise in the inequality of personal income distribution cannot only be explained by the rise of capital incomes. An analysis of the generation of personal incomes, and consequently of inequality, requires a suitable framework that links incomes at the macroeconomic level (national accounts) and incomes at the level of the individual/household. It is possible to set up this framework starting from individual endowments and their link to the productive structure: that is to what can be called the “generating function of personal income.” This function transforms personal endowments into personal earnings, given the productive structure, the technologies, and the market rules that determine the functional distribution. Personal income distribution and its inequality are linked to the functional one through the shares of capital and labor owned by each individual. The framework introduced here seems to be a suitable tool to account for the fact that personal income distribution is inextricably tied up to different sources of inequality in the distribution of national income. Sources come from institutional and productive structures (matrix Y), but also from the distribution of endowments and of individual/household entitlements (matrix S). This approach, we argue, allows for the assessment and evaluation of the effects of “ambitious new policies,” aimed at reducing poverty and inequality ex-ante, as suggested by Atkinson in his last book.     

Spain is different: Falling trends of inequality

In this article we characterize the evolution of inequality in hourly wages, hours of work, labor earnings, household disposable income and household consumption for Spain between 1985 and 2000. We look at both the Encuesta Continua de Presupuestos Familiares and the European Household Community Panel. Our analysis shows that inequality in individual net labor earnings and household net disposable income has decreased substantially. The decreases in the tertiary education premium and in the unemployment rate have been key ingredients to understand this falling trend. Public transfers have played a crucial role in smoothing out the inequality arising in the labor market, but instead the Spanish family does not seem to have been an important insurance mechanism. Regarding household consumption, inequality has fallen much less than inequality in household net disposable income, with the decrease mostly concentrated in the second half of the eighties. This suggests that the reduction in income inequality has affected the sources of permanent differences between households only during the second half of the eighties. Our estimates of the earnings process for the period are consistent with this view.     

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.     

INEQUALITY OF WAGE RATES,EARNINGS AND FAMILY INCOME IN THE UNITED STATES, 1975–2002

This paper analyzes distributional changes over the last quarter of the twentieth century. We focus on four distinct distributions: the distribution of hourly wage rates, the distribution of annual earnings of individuals, the distribution of annual earnings of families, and the distribution of total family income adjusted for family size. Both male wage rate inequality and family income inequality accelerated during the early 1980s, increased at a slower rate through the early 1990s and then stabilized at a high level through the early 2000s. The similarity in the timing of changes in these two distributions has been used as evidence that increased family income inequality primarily reflects increased inequality of wage rates. We show that other important factors were also at work.     

Multidimensional Inequality Across Three Developed Countries

This paper produces comparable estimates of multidimensional inequality for the U.S., Germany, and Australia. Two alternative approaches with differing interpretations are employed. The first method projects all facets of welfare onto a single variable which is then analyzed using standard univariate techniques. The second approach establishes equivalent‐income distributions that would lead to an equalization of welfare, such that the difference between this counterfactual and the true income distribution can be measured. This difference is then interpreted as the degree of income redistribution required to offset welfare inequality. Using data on permanent incomes, health scores, years of education, and leisure times, we observe much higher levels of inequality in the U.S. than in Germany or Australia. Our results are highly statistically significant and hold over a large variety of weighting specifications.     

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.     

SIZE-DISTRIBUTION OF EARNINGS AND HOUSEHOLD INCOMES IN SMALL SOCIALIST COUNTRIES

Part I: Availability and meaning of East European distributional statistics are discussed. Part II: Measures of inequality to be used in this study are examined: the Gini coefficient of concentration, though superior to some other single indicators, is found to be an unreliable comparative measure of inequality, and is therefore supplemented by a set of ratios of selected percentiles to the median. Part III: Inequality of full-time gross monthly earnings is measured for (almost) the whole civilian working population and for some subpopulations (selected industries, men, women) in Czechoslovakia and Yugoslavia through 1970, in Hungary through 1968: the observed inequality appears to be less than in small capitalist countries, in spite of the reversal of the socialist egalitarian trend in the 'sixties. The main factor of equalization of socialist earnings are small interoccupational and interregional differentials and a very flat age profile. Part IV: The socio-economic structure of households, the size of samples underlying the distributional statistics, and the composition of household “revenues” (wage and salary earnings, agricultural incomes, social security payments, relatively unimportant property incomes, as well as non-income cash flows) are examined. Inequality coefficients are estimated for per capita revenues of all households as well as subpopulations of households in Czechoslovakia and Hungary, and some information is given on the distribution of household incomes in Yugoslavia. Part V: Limits of desirable equalization of earnings are discussed. With very narrowly dispersed short-term earnings, lifetime earnings tend to be rather unequally distributed because of the variation of earning years among occupations. With largely equalized primary incomes, per capita household incomes tend to be more unequally distributed, in spite of massive transfers, because of the varying ratio of earners to dependents within households. The need of income differentials as incentives to work, the probable trade-off between income equality and economic growth, and socialist distributive principles are outlined.