Self-Reported vs. Objective Measures of Health in Retirement Models

Labor supply estimates are sensitive to the measures of health used. When self reported measures are used health seems to playa larger role and economic factors a smaller one than when more objective measures are used" While most authors have interpreted these results as an indication of the biases inherent in using self-reported measures, there are reasons to be suspicious of estimates based on more objective measures as well. In this paper I construct a statistical model incorporating both self-reported and objective measures of health. I use the model to show the potential biases involved in using either measure of health or in using one to instrument the other- When outside information on the validity of self-reported measures of health are incorporated into the model estimates suggest that the self-reported measures of health perform better than many have believed.

Cohort Crowding: How Resources Affect Collegiate Attainment

Analyses of college attainment typically focus on factors affecting enrollment demand, including the financial attractiveness of a college education and the availability of financial aid, while implicitly assuming that resources available per student on the supply side of the market are elastically supplied. The higher education market in the United States is dominated by public and non-profit production, and colleges and universities receive considerable subsidies from state, federal, and private sources. Because consumers pay only a fraction of the cost of production, changes in demand are unlikely to be accommodated fully by colleges and universities without commensurate increases in non-tuition revenue. For this reason, public investment in higher education plays a crucial role in determining the degrees produced and the supply of college-educated workers to the labor market. Using data covering the last half of the twentieth century, we find strong evidence that large cohorts within states have relatively low undergraduate degree attainment, reflecting less than perfect elasticity of supply in the higher education market. That large cohorts receive lower public subsidies per student in higher education explains this result, indicating that resources have large effects on degree production. Our results suggest that reduced resources per student following from rising cohort size and lower state expenditures are likely to have significant negative effects on the supply of college-educated workers entering the labor market.

What are the causes of rising wage inequality in the United States?

During the last 15 years--especially in the 1980s--wage inequality rose in the United States. It appears that this can be explained by a secular shift in production functions favoring workers with intellectual rather than manual skills, together with slower growth in the supply of skilled labor than in the previous decade.Education ; Labor supply ; Wages ; Income distribution

The Social Security Early Retirement Benefit as Safety Net

In this paper we used the Health and Retirement Study to examine the health and economic status of those who collect Social Security retirement benefits prior to the full retirement age. We used a propensity score reweighting method to estimate the fraction of early retirees who use early retirement benefits as a safety net against deteriorating health and who might be induced to apply for disability benefits (SSDI) or retire without income replacement if the generosity or availability of early retirement benefits were reduced. We find that while the majority of early retirees would likely not qualify for disability benefits, approximately one in five have health characteristics similar to SSDI beneficiaries, and thus might not be able to replace losses in benefit income with labor income.

Estimating the Health Effects of Retirements

We estimate the magnitude of any direct effect of retirement on health. Since retirement is endogenous to heath, it is not possible to estimate this effect by comparing the health of individuals before and after they retire. As an alternative we use institutional features of the pension system in the United Kingdom that are exogenous to the individual to isolate exogenous variation in retirement behavior. Data used will include both vital statistics and survey data that include both "objective" physical measurements and respondent self-reports. We find no evidence of negative health effects of retirement and some evidence that there may be a positive effect, at least for men.

Implications of skill-biased technological change: international evidence

Demand for less skilled workers decreased dramatically in the US and in other developed countries over the past two decades. WE argue that pervasive skill-biased technological change, rather than increased trade with the development world, is the principal culprit. The pervasiveness of this technological change is important for two reasons. Firstly, it is an immediate and testable implication of technological change. Secondly, under standard assumptions, the more pervasive the skill-biased technological, the greater the increase in the embodied supply of less skilled workers and the greater the increase in the embodied supply if less skilled workers and the greater the increases in the embodied supply of less skilled workers and the greater the depressing effect on their relative wages through world goods prices. In contrast, in the Heckscher-Ohlin model with small open economies the skill-bias of local technological changes does not affect wages. Thus, pervasiveness deals with a major criticism of skill-biased technological as a cause. Testing the implications of pervasive, skill-biased technological change, we find strong supporting evidence. Firstly, across the OECD, most industries have increased the proportion of skilled workers employed, despite rising or stable relative wages. Secondly, increases in demand for skills were concentrated in the same manufacturing industries in different developed countries

Closing the Gap or Widening the Divide: The Effects of the G.I. Bill and World War II on the Educational Outcomes of Black Americans

The effects of the G.I. Bill on collegiate attainment may have differed for black and white Americans owing to differential returns to education and differences in opportunities at colleges and universities, with men in the South facing explicitly segregated colleges. The empirical evidence suggests that World War II and the availability of G.I. benefits had a substantial and positive impact on the educational attainment of white men and black men born outside the South. However, for those black veterans likely to be limited to the South in their educational choices, the G.I. Bill had little effect on collegiate outcomes, resulting in the exacerbation of the educational differences between black and white men from southern states.

Structural changes, employment outcomes, and population adjustments among whites and blacks: 1980-1990

Earnings and employment deteriorated the most for young, less- educated, and/or black males in the 1980s. The most severe deterioration for blacks occurred in the North-Central regions. The causes of such regional and demographic variation in outcomes include a greater severity of demand shifts away from these groups and areas, as well as the greater relative impacts of such shifts on the earnings and employment of these demographic groups. Relative supply shifts across areas also contributed somewhat to the observed employment outcomes. There is some evidence of short-run population shifts across areas and groups that at least partially offset the negative demand changes described above. But younger and less-educated workers, especially among blacks, showed substantially lower population adjustments and migration in this time period in response to these demand shifts. The educational improvements of blacks during this decade also lagged behind. These limited supply responses apparently contributed somewhat to the severity of the demand effects on the employment and earnings of these groups during the 1980s. The data used here are from the Public Use Samples of the 1980 and 1990 Censuses and the National Longitudinal Survey of Youth.