Twenty Years of Rising Inequality in U.S. Lifetime Labour Income Values

In this paper we study the evolution of lifetime labour income inequality by constructing present value life cycle measures that incorporate both earnings and employment risk. We find that, even though lifetime income inequality is 40% less than earnings inequality, the total increase in lifetime income inequality over the past 20 years is the same as earnings inequality. While the total increase is the same, the pathways there differ with earnings inequality experiencing a steady increase and lifetime income inequality increasing in spurts particularly in the latter half of the 1990s. Finally, we find the changes in lifetime income inequality are primarily driven by changes in earnings mobility and changes in the earnings distribution itself, changes in employment risk and the composition of the sample, such as the shift toward attaining more education and the ageing population, do not play a large role.     

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.     

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.     

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.     

The Great Recession and Racial Inequality: Evidence from Measures of Economic Well-Being

Abstract:

The Great Recession had a tremendous impact on low-income Americans, in particular Black and Latino Americans. The losses in terms of employment and earnings are matched only by the losses in terms of real wealth. In many ways, however, these losses are merely a continuation of trends that have been unfolding for more than two decades. We examine the changes in overall economic well-being and inequality, as well as changes in racial economic inequality during and since the Great Recession. We find that the Levy Institute Measure of Economic Well-Being inequality between White and Black households decreased during the Great Recession but since 2010, racial inequality in terms of LIMEW has increased. We find that changes in base income, taxes, and income from non-home wealth during the Great Recession produced declines in overall inequality, while only taxes reduced between-group racial inequality.     

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。     

Understanding Rising Income Inequality in Germany, 1999/2000–2005/2006

We examine the factors behind rising income inequality in Europe's most populous economy. From 1999/2000 to 2005/2006, Germany experienced an unprecedented rise in net equivalized income inequality and poverty. At the same time, unemployment rose to record levels, part‐time and marginal part‐time work grew, and there was evidence for a widening distribution of labor incomes. Other factors that possibly contributed to the rise in income inequality were changes in the tax and transfer system, changes in the household structure (in particular the rising share of single parent households), and changes in other socio‐economic characteristics (e.g., age or education). We address the question of which factors were the main drivers of the observed inequality increase. Our results suggest that the largest part of the increase was due to increasing inequality in labor incomes, but that changes in employment outcomes and changes in the tax system also contributed considerable shares. By contrast, changes in household structures and household characteristics, as well as changes in the transfer system only seem to have played a minor role.     

Consumption and Income Inequality in Australia

Consumption may be a more appropriate measure of household well-being than income or earnings. Using four ABS Household Expenditures Surveys collected between 1975 and 1993, we compare trends in consumption and income inequality among Australian households. We find that consumption is much more equal than income. While there were significant increases in both income and consumption inequality, consumption inequality rose by much less. One interpretation of the results is that some income inequality in Australia reflects transitory fluctuations which households can smooth,'and that part of the growth in income inequality reflects an increase in these transitory fluctuations.     

Employment polarisation and inequality in the UK and Hungary

This paper uses household budget survey microdata to explorethe growth in household income inequality in Hungary in theperiod 1987–1995, and compares it with inequality in theUK in 1995–96. Decomposition of inequality according toboth household characteristics and income sources shows that,while inequality did grow rapidly in Hungary over the earlyTransition period, several factors prevented its growth to higherlevels. One of these factors, the distribution of employmentand earnings between households, is explored in some detail.While there was considerable polarisation between householdswith and without employed members in the UK in 1995–96,this was less of a feature in Hungary, in spite of a massivewithdrawal of men and women from the labour market between 1987and 1995. Rather, a narrowing of the gender pay gap and a continuedhigh level of female participation in employment appears tohave ensured that, even as earnings inequality in Hungary increasedto the extent that it surpassed earnings inequality in the UK,the distribution of household earnings, and the distributionof household incomes, remained more equal in Hungary.     

The Labour Market and Inequality

Newspoll reported in 2000 that by a margin of 70 to 28 per cent, Australians would prefer the gap between rich and poor to get smaller rather than have the nation's overall wealth grow as quickly as possible. This article examines the reasons for the increase in the dispersion of earnings, and changes in unemployment and workforce participation, which are central to this concern about inequality. The major finding is that the widening dispersion of earnings and changes in labour force status are principally due to changes in the structure of labour demand in favour of more skilled jobs. The article then considers what this changing job mix implies for policy directed to maintaining 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.     

All About the Giants: Probing the Influences on World Growth and Income Inequality at the End of the 20th Century

This paper presents estimates of world output growth from 1970to 2000, the distribution of income among countries and personsfor the years 1980, 1990 and 2000, and world income povertyrates for the same years. It also presents the results of aseries of simulation exercises that attempt to isolate the effectof particular country and regional experiences on world outputgrowth and changes in global income inequality and poverty. The authors find that rapid growth in China (despite a downwardadjustment of official growth estimates) had a powerful impacton the growth of world output in both the 1980s and 1990s, butthat negative economic growth in Eastern Europe more than offsetthat effect in the 1990s. With respect to the distribution ofworld income between countries, the impressive growth performancesof the worlds most populous countries, China and India, ensureddecreasing levels of inequality during both the 1980s and 1990s.When the distribution of world income between persons is measured,the equalizing effect of China's rapid growth remains dominantthrough both the 1980s and 1990s, despite the contradictoryimpact of increasing domestic inequality. Only India's influenceremained substantial by comparison. Other identifiable eventsof the period, such as the economic contraction in Eastern Europeand continued economic decline in Africa, had little statisticalimpact. However, when the combined influence of China and India'sabove-average growth rates is removed, or their size effectdampened, the improving global distribution of (inter-countryand inter-personal) income suggested by all statistical measuresbecomes one of sharply worsening inequality. The impact of thesetwo countries is similarly critical with respect to global povertyreduction. (JEL F0, I3, O4)     

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.     

Inequality trends in Sweden 1978–2004

We document a clear increase in Swedish earnings inequality in the early 1990s, and that much of this increase was generated by movements in and out of the labor market. Inequality in disposable income and earnings net of taxes and transfers also increased, but much less than the increased inequality in pre-government earnings. These different developments are most likely explained by the generous Swedish welfare system. Consistent with these observations, we see no clear trend in consumption inequality.We also estimate stochastic processes for household earnings. A simple random-walk process captures much of the life-cycle dynamics. But we find clear evidence that the true earnings process is not a random walk. We demonstrate that some estimation methods result in severe upward bias in the estimated volatility of permanent shocks if serial correlation in temporary shocks is ignored.Our estimation results show that the increase in earnings inequality is almost entirely driven by an increase in residual earnings inequality. Moreover, this increase was mostly generated by an increased volatility of persistent shocks.     

Effects of growing wage disparities and changing family composition on the U.S. income distribution

U.S. income inequality soared after 1979. The present paper estimates the contribution of increased earnings inequality to the surge in overall income inequality between 1979 and 1996. The direct contribution of increased earnings inequality is surprisingly modest. Even if male and female earnings inequality had remained unchanged at their 1979 levels, about two thirds of the observed increase in overall U.S. inequality would have occurred. Other factors contributing to higher overall inequality include the growing correlation of husband and wife earned incomes and the increasing percentage of Americans who live in single-adult families, families that typically have much more unequal incomes than husband–wife families.     

The Inequality of Household Incomes in Australia*

This paper presents income inequality statistics for Australia calculated from the published results of the two official income surveys of 1968-69 and 1973-74. These results suggest firstly that the level of household income inequality in Australia has been previously understated. Secondly, it is noted that there was little, if any, change in inequality over the period. However, when families are classified by number of income earners an unambiguous decline in inequality within these groups occurs. These observations are related to other changes in the economy.     

Wage,income and consumption inequality in Japan, 1981–2008: From boom to lost decades

In this paper we document the main features of the distributions of wages, earnings, consumption and wealth in Japan since the early 1980s using four main data sources: the Basic Survey on Wage Structure (BSWS), the Family Income and Expenditure Survey (FIES), the National Survey of Family Income and Expenditure (NSFIE) and the Japanese Panel Survey of Consumers (JPSC). We present an empirical analysis of inequality that specifically considers the path from individual wages and earnings, to household earnings, after-tax income, and finally consumption. We find that household earnings inequality rose substantially over this period. This rise is made up of two distinct episodes: from 1981 to 1996 all incomes rose, but they rose faster at higher percentiles; from 1996 to 2008 incomes above the 50th percentile remained flat but they fell at and below the 50th percentile. Inequality in disposable income and in consumption also rose over this period but to a lesser extent, suggesting taxes and transfers as well as insurance channels available to households helped to insulate household consumption from shocks to wages. We find the same pattern in inequality trends when we look over the life cycle of households as we do over time in the economy. Additionally we find that there are notable differences in the inequality trends for wages and hours between men and women over this period.     

Consumption,income and earnings inequality in Britain

This paper presents an analysis of the trends in inequality across income, earnings and consumption in Britain since 1978. It documents the episodic nature of inequality growth over this period largely dominated by the inequality ‘boom’ in earnings inequality of the 1980s. It builds a consistent picture across these key measures of inequality to provide a coherent link between the microeconomic and macroeconomic analysis of the evolution of 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.