Worker Well-Being and Public Policy: Volume 22

This volume is devoted to a number of multifaceted issues regarding worker well-being. Of the 15 chapters, the first two are the most general, dealing with overall earnings distribution and overall changes in welfare policy. The remaining chapters examine specific aspects of human welfare. They cover fertility, disability, minimum wage, pension wealth, human capital investment, migration, health, and earnings. The book culminates with four chapters relating to gender and the family. Ultimately, determining who works, how much is earned, and how these earnings get distributed define the components of individual and social welfare. The topics covered in this volume shed light on these questions.

This paper devises a new method for using the information contained in income-generating equations to “account for” or “decompose” the level of income inequality in a country and its change over time. In the levels decomposition, the shares attributed to each explanatory factor are independent of the particular inequality measure used. In the change decomposition, methods are presented to break down the contribution of each explanatory factor into a coefficients effect, a correlation effect, and a standard deviation effect. In an application to rising earnings inequality in the United States, it is found that schooling is the single most explanatory variable, only one other variable (occupation) has any appreciable role to play, and all of schooling’s effect was a coefficients effect.

Nationally, the welfare caseload declined by more than 50% between 1994 and 2000. Considerable research has been devoted to understanding what caused this decline. Much of the literature examining these changes has modeled the total caseload (the stock) directly. Klerman and Haider (forthcoming) model the underlying flows and show analytically and empirically that previous methods are likely to be biased because they ignore important dynamics. However, due to their focus on the bias of the stock models, they present only limited results concerning the robustness of their findings and utilize only a single measure of economic conditions, the unemployment rate. This paper examines the robustness of the basic stock-flow model developed in Klerman and Haider (forthcoming), considering both richer dynamic specifications and richer measures of economic condition. We find that more complex dynamic specifications do not change the substantive conclusions, but richer measures of the economy do. While a model that only includes the unemployment rate attributes about half of the California caseload decline between 1995 and 1998 to the economy, models that incorporate richer measures of the economy attribute more than 90% of the decline to the economy.

The causal relationship between the size of welfare benefits and the birth decisions of women on welfare has been explored in a number of studies using a variety of analytical approaches applied to vital statistics data, data from the Current Population Survey, the Panel Study of Income Dynamics, or similar survey data. These studies typically use non-experimental methods to relate differences in birth rates or birth decisions across states to differences in welfare benefits levels. Analyses of this type have been criticized on several grounds. Benefits across states may be correlated with unobserved interstate differences that may also be related to birth decisions. Very often, these studies measure the key independent variable, welfare benefits level, as the cash benefit guarantee under the Aid to Families with Dependent Children (AFDC) program for a household of fixed size, varying this amount by state of residence. Actual benefits paid will vary with household size, number of AFDC-eligible household members, other sources of income, and other factors.

Using panel data from the Survey of Income and Program Participation linked to Social Security Administration disability determination records we trace the pattern of household income and the sources of that income from 38 months prior to 39 months following application for Social Security Disability Insurance (SSDI) and Supplemental Security Insurance (SSI). We find that the average applicant’s labor earnings declines dramatically beginning six months before application but the average applicant’s household income drops much less dramatically both in the months just before or just after application and over the next three years, and does so even for those denied benefits. However, we also found substantial heterogeneity in household income outcomes in both the SSDI and SSI applicant population. Our quantile regressions suggest that higher income households experience greater percentage declines in their post-application income. Such results are consistent with the lower replacement rate for higher earners established in the SSDI program and the low absolute level of protection provided to all SSI applicants regardless of income prior to application.

Much of the recent debate on the minimum wage has focused on its employment implications. The theory of human capital suggests that minimum wages should also have important adverse effects on human capital accumulation. In the standard human capital theory, as developed by Becker (1964), Ben-Porath (1967), and Mincer (1974), a large part of human capital is accumulated on the job, and workers often finance these investments through lower wages. A binding minimum wage will therefore reduce workplace training, as it prevents low wage workers from accepting the necessary wage cuts (Rosen, 1972). The early empirical literature has confirmed this prediction. The negative impact on human capital formation has been an important argument against minimum wages in the minds of many economists and policy-makers, and an important piece of evidence in support of the standard theory of human capital.

It is well established that Black and Hispanic workers accumulate leszs wealth for retirement than white workers. This study provides evidence on whether racial and ethnic differences in private pension coverage and benefit levels contribute to the wealth differentials. Using data from the Current Population Survey, Survey of Consumer Finances and the Health and Retirement Survey, several consistent findings emerge. First, most of the racial and ethnic differences in pension benefit levels are accounted for by differences in worker charateristics. Second, among workers who are covered by a private pension, racial and ethnic differences in pension asset accumulation are quite small. Finally, exclusion of pension wealth has a small effect on the comparison of average levels of wealth across racial and ethnic groups, but has a substantial effect for comparisons at the bottom of the wealth distribution. Overall, the findings suggest that, holding worker characteristics constant, minority and majority workers accumulate very similar levels of wealth.

There can be no question that the aggregate economic performance of the United States over the 1990s was outstanding. Except for a brief recession in 1990–1991, the United States experienced steady growth, rising productivity, low and falling unemployment, and little inflation. Following sharp run-ups at the start of the decade, there were also declines in other social and economic indicators such as poverty, welfare caseloads, crime, and teenage birth rates. These trends suggest there were widespread increases in economic prosperity. In fact, however, we do not know exactly how the benefits of this performance were distributed.

Whether immigrants are positively or negatively self-selected is much disputed. Whereas most previous studies have addressed this question by comparing the earnings of immigrants to those of U.S. natives, this analysis uses occupation to examine the skill level of immigrants relative to their home country population. Data on the occupational distribution of individuals granted legal permanent residence in 1995 indicate that the proportion of immigrants in skilled occupations is related to the corresponding proportion in source countries but not necessarily to the return to skill and other economic factors in the country of origin.

This paper analyzes the impact of immigration on low-skill native workers using pooled CPS data on cities in static and dynamic fixed effects models. Labor force participation is shown to be the dominant adjustment mechanism to immigrant inflows. Furthermore, native participation responses are stronger in immigrant-dense cities than in areas with sparser concentrations. These results hold after accounting for the potential endogeneity of immigrant locational decisions. The labor supply adjustments absorb most of the impact of immigration, and account for the weakness of the observed effects of immigration on wages and employment.

In the spirit of Polachek (1975) and the later work of Becker (1985) on the role of specialization within the family, we examine the relationship between fringe benefits and the division of labor within a married household. The provision of fringe benefits is complicated by their non-additive nature within the household, as well as IRS regulations that stipulate that they be offered in a non-discriminatory manner in order to maintain their tax-exempt status. We model family decisions within a framework in which one spouse specializes in childcare and as a result experiences a reduction in market productive capacity. Our model predicts that the forces toward specialization become stronger as the number of children increase, so that the spouse specializing in childcare will have some combination of lower wages, hours worked, and fringe benefits. We demonstrate that to the extent that labor markets are incomplete, the family is less likely to obtain health insurance from the employer of the spouse that specializes in childcare. Using data from the April 1993 CPS we find evidence consistent with our model.

The ultimate goal of this paper is to determine the differential effects of health insurance and health status on earnings. We believe that employment-based health insurance serves two purposes. First, health insurance provides protection against catastrophic financial losses associated with illness. Second, health insurance encourages consumption of health care services, which may ultimately improve a person’s health and productivity. To determine how health insurance and health status affect earnings, we estimate an empirical model that specifically examines the relationship between health insurance, health status, and earnings. We find the following. Earnings positively affect the likelihood of having health insurance. Having health insurance improved health status for women, but not for men. Higher earnings resulted in lower health status for women, but had no effect on the health status of men, and better health status and having health insurance increased earnings for both women and men. Our analysis implies that there are some returns to employment-based health insurance that go beyond the basic purpose of insurance.

In this paper, we use microdata on employment and earnings from a variety of industrialized countries to investigate the family gap in pay – the differential in hourly wages between women with children and women without children. We present results from seven countries: Australia, Canada, the United Kingdom, the United States, Germany, Finland, and Sweden. We find that there is a good deal of variation across our sample countries in the effects of children on women’s employment and in the effects of children on women’s hourly wages even after controlling for differences between women with and without children in characteristics such as age and education. We also find that the variation in the family gap in pay across countries is not primarily due to differential selection into employment or to differences in wage structure across countries. We suggest that future research should examine the impact of family policies such as maternity leave and child care on the family gap in pay.

It is well-known that the majority of women work in a limited number of occupations characterized by a proportionately high number of female workers. Moreover, workers in these female-dominated (FD) occupations earn less, on average, than workers in traditionally male or integrated occupations (McPherson & Hirsch, 1995). This occupational wage differential is widely accepted as a partial explanation for the pervasive gender wage-differential. However, it is unclear why an individual would enter into a FD occupation if the wages are lower than in nonfemale-dominated (NFD) occupations. It is also unclear if women who choose FD occupations could earn more in occupations that are NFD. Therefore, attributing a portion of the gender wage differential to occupational differences may be incorrect. Indeed, differences in the occupational choices of men and women will only explain the wage differential between genders if females in FD occupations could expect to earn higher wages elsewhere.

Antecol (2001) finds that cultural factors play a role in explaining inter-ethnic variation in the gender wage gap across immigrant groups in the United States. This paper presents new evidence on the importance of cultural factors by exploring the relative importance of culture across specific immigrant sub-groups. More specifically, I begin with the entire immigrant sample and then progressively restrict the sample to married immigrants and then to married immigrants whose spouse is from the same country of origin. I find a positive correlation between the gender wage gaps for all immigrant groups in the United States with the same gaps in those groups’ countries of origin, however the effect is larger for married immigrants. While these results suggest the importance of cultural factors, this positive correlation is overstated when controls for differences in female labor force participation rates (LFPR) across ethnic groups are excluded, particularly for married immigrants whose spouse if from the same country of origin. Nevertheless, I also find a negative correlation between the variation in the gender wage gap of immigrants in the United States and the variation in female LFPR of immigrants in the United States, which is more consistent with unobserved cultural factors than selection of the usual type.

The purpose of this paper is twofold. First, it assesses motives for intended mobility among academics in institutions of higher education. Second, it investigates gender differences. Women have twice the intention to leave their institution than men during their first few years, but this difference narrows with seniority. Women report monetary reasons such as salary and promotion opportunities, as well as non-monetary reasons such as spousal employment to motivate their intended mobility. Gender differences across the reasons are minor once one controls for tenure status.