SOCIAL SECURITY BENEFITS AS A RETIREMENT RESOURCE FOR U.S. NEAR-RETIREES

This paper analyzes Social Security benefits as a retirement resource (wealth and income) for U.S. near-retirees. We look at how the average values of several measures of benefits such as Social Security wealth and earnings replacement rates have changed from earlier cohorts to today's near-retirement cohort, examine differences among demographic and socioeconomic groups within cohorts, and discuss reasons for these changes and differences. We use improved data (actual earnings history data) to produce more accurate measures of benefits. The paper also uses some new benefit measures. Three key findings are: (1) average real Social Security wealth increases markedly as we move to later cohorts primarily because of increases in average real lifetime earnings; (2) replacement rates fall as we move from the cohorts of persons reaching 61 in 1993–97 to later cohorts primarily because of the phase-in of increases in the age of eligibility for full benefits and the increasing labor market activity of women; and (3) median Social Security wealth is much higher for women than for men because women live longer.     

TRENDS IN AMERICAN LIVING STANDARDS AND INEQUALITY, 1959–2007

We analyze the trends from 1959 to 2007 using an expanded measure of income called the Levy Institute Measure of Economic Well‐Being (LIMEW). LIMEW is different in scope from the official U.S. Census Bureau measure of gross money income (MI) in that our measure includes non‐cash transfers, public consumption, imputed income from wealth, and household production and nets out personal taxes. While the annual growth rates of median LIMEW and MI are very close over the whole period (0.67 and 0.63 percent), median LIMEW grew much faster than median MI after 1982 and much slower before. The Gini coefficient of MI is uniformly higher than that of LIMEW but both show about the same change from 1959 to 2007. Decomposition analysis shows that changes in inequality are driven to a large extent by non‐home wealth in LIMEW and earnings in MI. While the racial gap in MI declined somewhat over the 1990s and 2000s, the racial gap in LIMEW actually widened a bit. Over the same years, while there was little change in the gap in MI between the elderly and non‐elderly, the LIMEW of the elderly actually overtook that of the non‐elderly.     

DEFINED CONTRIBUTION PLANS, DEFINED BENEFIT PLANS, AND THE ACCUMULATION OF RETIREMENT WEALTH

The private pension structure in the United States, once dominated by defined benefit (DB) plans, is currently divided between defined contribution (DC) and DB plans. Wealth accumulation in DC plans depends on a participant's contribution behavior and on financial market returns, while accumulation in DB plans is sensitive to a participant's labor market experience and to plan parameters. This paper simulates the distribution of retirement wealth under representative DB and DC plans. It uses data from the Health and Retirement Study (HRS) to explore how asset returns, earnings histories, and retirement plan characteristics contribute to the variation in retirement wealth outcomes. We simulate DC plan accumulation by randomly assigning individuals a share of wages that they and their employer contribute to the plan. We consider several possible asset allocation strategies, with asset returns drawn from the historical return distribution. Our DB plan simulations draw earnings histories from the HRS, and randomly assign each individual a pension plan drawn from a sample of large private and public defined benefit plans. The simulations yield distributions of both DC and DB wealth at retirement. Average retirement wealth accruals under current DC plans exceed average accruals under private sector DB plans, although DC plans are also more likely to generate very low retirement wealth outcomes. The comparison of current DC plans with more generous public sector DB plans is less definitive, because public sector DB plans are more generous on average than their private sector DB counterparts.     

THE ACCUMULATION OF HOUSEHOLD WEALTH OVER THE LIFE-CYCLE: A MICRODATA ANALYSIS*

In this paper, I investigate the validity of the Modigliani-Brumberg (M-B) model as an explanation of the variation of wealth holdings among households. The model as such, even with the inclusion of estimates of household lifetime earnings, explains only a minute portion of the variation in household wealth. Indeed, for certain groups such as non-white, rural residents, and the low educated, the coefficients of the regression model are insignificant. Moreover, when the top wealth holders are removed from the sample and when non-cash financial and business assets are eliminated from the household portfolios, the explanatory power of the M-B model increases markedly. Essentially, the validity of life-cycle wealth accumulation models must be restricted to the white, urban, educated middle classes and their accumulation of housing, durables, and cash. The rich have very different motives for saving and very different sources of saving, while the poor do not earn sufficient income over their lifetime to accumulate any non-negligible wealth.     

MEASUREMENT OF THE DISTRIBUTION OF WEALTH IN CANADA

The only periodic data available in Canada on the asset holdings and net worth of the household sector are data collected through a series of household surveys originally initiated in 1954. Some limited data on the holdings of financial claims by the personal and unincorporated business sector are available from flow of funds work. Data are unavailable for estimation from estate tax returns.
The scope of the surveys has been expanded substantially so that the most recent survey obtained a very comprehensive list of asset holdings. The experience with Canadian surveys has been similar to that of other countries; surveys appear to underestimate asset holdings although the estimates are more reliable for widely held assets than for assets with a very skewed distribution. Nevertheless, the surveys appear to trace the accumulated distribution of personal savings over time to a considerable degree and provide useful cross-sectional trend data.
Canadian data show that wealth is more unequally distributed among family units than is income although wealth appears to be more equally distributed between income groups than is income. Wealth is also very unequally distributed within the same income group. Over time, there appears to have been some movement towards a more equal distribution of asset holdings between income groups.     

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.     

PROBLEMS OF A CENSUS OF NATIONAL WEALTH

This paper is essentially a summary of the book Measuring the Nation's Wealth (Volume 29, Studies in Income and Wealth, New York: National Bureau of Economic Research, 1964), which is the report of study directed by the author. The purpose o f the study was to assess the problems and possibilities of conducting a national census of real wealth as a basis for continuing wealth and balance sheet estimates for the U.S. economy, by major sector.
It is stressed that the balance sheets and wealth estimates should be designed as a consistent part of an integrated system of national income accounts. Thus, valuation (at market prices and/or depreciated replacement costs), sectoring, and type-of-asset detail in the basic data and derived estimates should be compatible with the flow estimates contained in the economic accounts. Consistency of stock and flow estimates facilitates analysis of inter-relationships, and is helpful in the estimation process.
It is recommended that in the U.S. asset data by broad categories be collected as part of the recurring economic censuses and other reporting systems, but that detail on fixed reproducible assets (construction and equipment) at cost, by year or period of acquisition, be obtained from a small sample of respondents in each industry. The detail would be useful in its own right, and also permit revaluation of the assets by use of price indexes and depreciation rates to a current depreciated replacement cost basis. Where feasible, respondent estimates of market values would also be obtained.
The proposal is thus a compromise between the Japanese 1955 sample survey of assets, and the detailed wealth inventory of the U.S.S.R. which was begun in 1959. Preliminary work is now underway in the U.S. federal statistical agencies to expand collection of asset data, and to prepare comprehensive wealth estimates in the framework of the national income accounts.     

Does consumption inequality track income inequality in Italy?

This paper presents stylized facts on labor supply, income, consumption, wealth, and several measures of consumption and income inequality drawn from the 1980–2006 Survey of Household Income and Wealth (SHIW) conducted by the Bank of Italy. The SHIW provides information on consumption, income and wealth, and a sizable panel component that allows econometricians to estimate sophisticated income, consumption, and wealth processes and to analyze labor market and portfolio transitions. We find that over the sample period income inequality is higher and has grown faster than consumption inequality. Most of the increase in income inequality is related to an increase in the degree of earnings' instability rather than to shifts in the wage structure. We suggest that, in particular, the labor market reforms of the 1990s and 2000s are the most plausible explanation of the increased earnings inequality.     

Wealth Inequality in Sweden: What can we Learn from Capitalized Income Tax Data?

This paper presents new estimates of wealth inequality in Sweden during 2000–2012, linking wealth register data up to 2007 and individually capitalized wealth based on income and property tax registers for the period thereafter when a repeal of the wealth tax stopped the collection of individual wealth statistics. We find that wealth inequality increased after 2007 and that more unequal bank holdings and housing appear to be important drivers. We also evaluate the performance of the capitalization method by contrasting its estimates and their dispersion with observed stocks in register data up to 2007. The goodness‐of‐fit varies tremendously across assets and we conclude that although capitalized wealth estimates may well approximate overall inequality levels and trends, they are highly sensitive to assumptions and the quality of the underlying data sources.     

HOW MISLEADING ARE INCOME DISTRIBUTIONS?

Starting from the proposition that economic welfare is better measured by the capitalized value of expected future income at age 18 than by income at a point of time, the present paper explores the bias introduced in comparison of earnings and income distributions.
The earning distribution chosen for study is that for males in 1959 in the United States. It is shown that earnings distributions are biased and therfore can be considered highly misleading in most comparisons unless the comparison involves two groups with identical age distributions and identical distributions of earnings over the working life of earners.
Further, a most striking effect can be discerned in comparing the earnings to the present value distributions by educational level. As one moves up the educational ladder, the within-group distribution of lifetime income becomes more and more equal, in sharp contrast to the findings for the distribution of earnings at a point in time.
The result are sufficiently interesting and striking to warrant further studies of distributions of present value of lifetime expected earnings (and income).     

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.     

ESTIMATES OF HOUSEHOLD SECTOR WEALTH FOR SOUTH AFRICA, 1970–2003

Market values of components of household sector wealth are important explanatory variables for aggregate consumer expenditure and household debt in macro-econometric models. We construct the first coherent set of the main elements of household-sector balance sheet estimates at market value for South Africa. Our quarterly estimates derive from published data on financial flows, and other capital market data, often at book value. Our methods rely, where relevant, on accumulating flow of funds data using appropriate benchmarks, and, where necessary, converting book to market values using appropriate asset price indices. Relating asset to income ratios for various asset classes to asset price movements and other features of the economic environment, throws light on the changing composition of household sector wealth. Most striking are the relative rise in the value of pension wealth and the trend decline of directly held securities, the decline and recent recovery of housing wealth, and the rise in household debt and concomitant decline of liquid assets from the early 1980s to the late 1990s.     

Child Benefit Payments and Household Wealth Accumulation

Using the life‐cycle/permanent income hypothesis, we theoretically and empirically assess the impact of child benefit payments on household wealth accumulation. Consistent with the predictions of the model, we find that higher cumulative benefits received increase current assets, higher future benefit payments lower asset holding, and that these effects systematically vary over the life cycle. We find different wealth responses to child benefit payments for liquidity constrained and unconstrained households, as predicted by the model.     

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.     

Mexico in the 1990s: The Main Cross-Sectional Facts

This paper describes the main cross-sectional facts on individual and household earnings, labor supply, income, consumption and wealth in Mexico in the decade of the 1990s. We use two different data sources: the Mexican Employment Survey (ENEU) and the Mexican Income and Expenditure Survey (ENIGH). The contribution of this paper is twofold. First, we integrate the two surveys to provide a complete characterization of the changes in employment, wages, income, consumption and wealth in the 1990s. Second, we highlight some distinctive features that characterize the Mexican economy in this decade. In particular, we focus on the changes in the size of the informal sector and we study the relationship between changes in informality and changes in wage inequality.     

HOUSEHOLD SAVING AND PORTFOLIO CHANGE: EVIDENCE FROM THE 1983–89 SCF PANEL

There are few sources of high-quality data on the dynamics of wealth accumulation. This paper uses newly available data from the 1983 89 panel of the Survey of Consumer Finances to examine household saving and portfolio change over the 1980s. Our main findings are as follows. First, median household wealth rose modestly over the period. Second, while overall wealth inequality increased, households in the top 1 percent of the wealth distribution in 1983 saw their share of total wealth decline, probably reflecting turnover among the very wealthy. Third, although age, income, and initial wealth had significant effects in regressions on household saving, a large part of the variation in saving was unexplained. Finally, there were clear life-cycle patterns in the portfolios of assets and liabilities held by households, with younger households acquiring homes, businesses and all types of debts, and older households divesting themselves of these assets and debts.     

Unequal we stand: An empirical analysis of economic inequality in the United States, 1967–2006

We conduct a systematic empirical study of cross-sectional inequality in the United States, integrating data from the Current Population Survey, the Panel Study of Income Dynamics, the Consumer Expenditure Survey, and the Survey of Consumer Finances. In order to understand how different dimensions of inequality are related via choices, markets, and institutions, we follow the mapping suggested by the household budget constraint from individual wages to individual earnings, to household earnings, to disposable income, and, ultimately, to consumption and wealth. We document a continuous and sizable increase in wage inequality over the sample period. Changes in the distribution of hours worked sharpen the rise in earnings inequality before 1982, but mitigate its increase thereafter. Taxes and transfers compress the level of income inequality, especially at the bottom of the distribution, but have little effect on the overall trend. Finally, access to financial markets has limited both the level and growth of consumption inequality.     

The effect of health improvements due to tobacco control on earnings in the United States

There is minimal evidence causally estimating the relationship between tobacco tax policy, population health and earnings. This article uses state tobacco taxes as an instrument for life expectancy to estimate the effect on earnings per capita in a panel of almost 3000 counties in the United States over the period 1970 to 2000. In the first stage of the model, we find that a one dollar increase in state tobacco taxes significantly increases life expectancy between 1.9% and 2.1%. Despite showing that tobacco tax is correlated with higher life expectancy and that, theoretically, improvements in health from reductions in smoking should lead to increased earnings, we find an insignificant impact of the induced gains in life expectancy from tobacco policy on county level earnings per capita over the period 1970 to 2000. The lack of significance is explained through local average treatment effects and the smaller economic impact of certain policies that impact health later in life. These results provide further evidence that the most effective interventions for improving income later in life are policy interventions with a direct impact on the health of younger cohorts rather than older cohorts.     

Earnings Instability and Tenure

We study the effect of tenure on earnings instability in Italy using the reforms of temporary employment contracts, which affected the average tenure of workers differentially across cohorts. We develop a model of earnings dynamics, and we exploit the variation of tenure and instability over time and across birth cohorts to estimate policy‐relevant parameters. Our results indicate that each year of tenure on the job reduces earnings instability by 11 percent; the drop is faster in the first three years of the match. Workers on a temporary contract have an earnings instability up to 100 percent higher than workers on a permanent contract.     

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.