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.

This paper explores the macroeconomic and welfare implications of the sharp rise in U.S. wage inequality (1967-1996). In the data, cross-sectional earnings variation increased substantially more than wage variation, due to a sharp rise in the wage-hours correlation. At the same time, inequality in hours worked and consumption remained roughly constant through time. Using data from the PSID, we decompose the rise in wage inequality into changes in the variance of permanent, persistent and transitory shocks. With the estimated changes in the wage process as the only primitive, we show that a standard calibrated OLG model with incomplete markets can successfully account for all these patterns in cross-sectional U.S. data. Through a set of counter-factual experiments, we assess the role of each component of the wage process for the evolution in the various dimensions of inequality. The model also allows us to investigate the welfare costs of the rise in inequality: we find that the unconditional expected welfare loss is equivalent to a 5 percent decline in lifetime income for the worst-affected cohorts, those entering the labor market in the mid 1980’s. Ex post, these costs are widely dispersed across agents, due both to differences in permanent individual attributes and to differences in labor market histories. An extensive sensitivity analysis verifies the robustness of our results to alternative preferences and borrowing limits, and to the inclusion of female labor force participation.

for helpful suggestions. Iowe special thanks to an anonymous referee who carefully

Previous work has had difficulty generating household saving behavior that makes the distribution of wealth much more concentrated than that of labor earnings, and that makes the richest households hold onto large amounts of wealth, even during very old age. I construct a quantitative, general equilibrium, overlapping-generations model in which parents and children are linked by accidental and voluntary bequests and by earnings ability. I show that voluntary bequests can explain the emergence of large estates, while accidental bequests alone cannot, and that adding earnings persistence within families increases wealth concentration even more. I also show that the introduction of a bequest motive generates lifetime savings profiles more consistent with the data.

Although the role of financial constraints on entrepreneurial choices has received considerable attention, the effects of these constraints on aggregate capital accumulation and wealth inequality are less known. Entrepreneurship is an important determinant of capital accumulation and wealth concentration and, conversely, the distribution of wealth affects entrepreneurial choices in the presence of borrowing constraints. We construct a model that matches wealth inequality very well, for both entrepreneurs and non-entrepreneurs, and find that more restrictive borrowing constraints generate less wealth concentration, but also reduce average firm size, aggregate capital, and the fraction of entrepreneurs. We also find that voluntary bequests are an important channel that allows some high-ability workers to establish or enlarge an entrepreneurial activity: with accidental bequests only, there would be fewer large firms, fewer entrepreneurs, and less aggregate capital, but also less wealth concentration.

and forecast social change in Britain at the individual and household level, the Centre specialises in research using longitudinal data. ESRC UK Longitudinal Centre. This national resource centre was established in October 1999 to promote the use of longitudinal data and to develop a strategy for the future of large-scale longitudinal surveys. It was responsible for the British Household Panel Survey (BHPS) and for the ESRC’s interest in the National Child Development Study and the 1980 British Cohort Study European Centre for Analysis in the Social Sciences. ECASS is an interdisciplinary research centre which hosts major research programmes and helps researchers from the EU gain access to longitudinal data and cross-national datasets from all over Europe. The British Household Panel Survey is one of the main instruments for measuring social change in Britain. The BHPS comprises a nationally representative sample of around 5,500 households and over 10,000 individuals who are reinterviewed each year. The questionnaire includes a constant core of items accompanied by a variable component in order to provide for the collection of initial conditions data and to allow for the subsequent inclusion of emerging research and policy concerns. Among the main projects in ISER’s research programme are: the labour market and the division of domestic responsibilities; changes in families and households; modelling households ’ labour force behaviour; wealth, well-being and socio-economic structure; resource distribution in the household; and modelling techniques and survey methodology. BHPS data provide the academic community, policymakers and private sector with a unique national resource and allow for comparative research with similar studies in Europe, the United States and Canada. BHPS data are available from the Data Archive at the University of Essex

this article are 1. To show that, in large samples under fairly general conditions, several well-known and easily computable 16 O Journal of the American StitisticII Assoalation March IMP, Volume 7S, Number Applications Section 17 tests for departures from nornlity may be modified for use in the classical linear regression framework; 2. To examine the consequences of replacing with in moderate and large samples; 3. To asess the power of each test with respect to alternatives to nornlity likely to be encountered empirically; and 4. To compare power across tests

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It is well known that most of the standard speci¯cation tests are not valid when the alternative hypothesis is misspeci¯ed. This is particularly true in the error component model, when one tests for either random e®ects or serial correlation without taking account of the presence of the other e®ect. In this paper we study the size and power of the standard Rao's score tests analytically and by simulation when the data is contaminated by local misspeci¯cation. These tests are adversely a®ected under misspeci¯cation. We suggest simple procedures to test for random e®ects (or serial correlation) in the presence of local serial correlation (or random e®ects), and these tests require ordinary least squares residuals only. Our Monte Carlo results demonstrate that the suggested tests have good ¯nite sample properties and are capable of detecting the right direction of the departure from the null hypothesis. We also provide some empirical illustrations to highlight the usefulness of our tests.

Abstract not found