Cohort Changes in the Transition from School to Work: What Changed and What Consequences Did it have for Wages?

This study examines the changes in the school-to-work transition in the United States over the latter part of the twentieth century and their consequences for the wages of young adults. In particular, we document the various types of work and schooling experiences acquired by youth who came to adulthood in the U.S. during the late 1960s, 1970s, and through the 1980s. We pay particular attention to how the differences across cohorts in these transitions vary by gender and race/ethnicity and how these differences affected their subsequent wage attainment. Evidence is evaluated using data from National Longitudinal Surveys of Young Women, Young Men, and Youth 1979. In general, we find that indicators of educational attainment, working while in school and non-school related work increased across cohorts for almost all racial/ethnic and gender groups. This was especially true for young women. Furthermore, various indicators of personal and family backgrounds changed in ways consistent with an improvement across cohorts in the preparation of young men and women for their attainment of schooling and work experience and their success in the labor market. The one exception to this general picture of improvement across cohorts was Hispanic men, who experienced a notable decline in educational attainment, the acquisition of full time work early in their adult lives and in a variety of personal and family background characteristics. With respect to hourly wage rates, we find that wages over the ages 16 through 27 declined across cohorts. However, the rate of growth of wages with age, particularly over adult ages, increased across cohorts for all racial/ethnic and gender groups, except black and Hispanic men. To assess the relative importance that changes in the school, work, military and other experiences had on wages across generations, we employ the decomposition proposed by Juhn, Murphy and Pierce (1993) to decompose the across-cohort wage changes in observable determinants, in their associated prices and in unobservable determinants, using a standard regression specification for the determinants of life cycle wages. We find that the dominant factor explaining the declines in wages across cohorts is attributable to changes in the prices of observable characteristics and to changes in unobservable determinants. At constant skill prices, changes in the skill composition across youth cohorts would have increased their wages, most especially for Hispanic women, followed by black women, white women, black men, and then white men. In striking contrast, Hispanic males’ wages would still have declined across cohorts purely accounting for compositional changes. We interpret this result as coming from the changing skill composition of immigrants. Our results also highlight the need for accounting for the endogeneity and selectivity of early skill acquisition.

The Impact of Regulations on the Supply and Quality of Care in Child Care Markets

We examine the impact of state child care regulations on the supply and quality of care in child care markets. We exploit panel data on both individual establishments and local markets to control for state, time, and, where possible, establishment-specific fixed effects to mitigate the potential bias due to policy endogeneity. We find that the imposition of regulations reduces the number of center-based child care establishments, especially in lower income markets. However, such regulations increase the quality of services provided, especially in higher income areas. Thus, there are winners and losers from the regulation of child care services.

Strategic Information Disclosure: The Case of Multi-Attribute Products with Heterogeneous Consumers

We examine the incentives for firms to voluntarily disclose otherwise private information about the quality attributes of their products. In particular, we focus on the case of differentiated products with multiple attributes and heterogeneous consumers. We show that there exist certain configurations of consumers’ multi-dimensional preferences under which a firm, no matter whether producing a high- or low-quality product, may choose not to reveal the quality even with zero disclosure costs. The failure of information unraveling arises when providing consumers with more information results in more elastic demand, which triggers more intensive price competition and leads to lower prices and profits for competing firms. As a result, the equilibrium in which disclosure is voluntary may diverge from that in which disclosure is mandatory.

Examining the Effect of the Earned Income Tax Credit on the Labor Market Participation of Families on Welfare

This paper examines the employment effects of the earned income tax credit (EITC). We use a unique dataset, created by matching administrative data from public assistance records, unemployment insurance records, and federal tax returns for a sample of California residents. We conduct a set of four tests to assess our ability to isolate the causal effects of the EITC on employment. The first test is based on the intuition that if the EITC alters employment, all else being equal, employment rates for two-or-more child families should grow relative to the employment rates of one-child families, as credit amounts available to these groups of families diverged over the 1990s. The second test examines whether or not people eligible for the EITC actually file tax returns and claim it. The third test is based on the intuition that, if the EITC, and not other factors such as the strong economy in the 1990s, is causing employment differences between families with two or more children relative to those with one child, we should expect to see no employment differences (after conditioning on other characteristics) between families with two children and families with three or more children, since the EITC did not change differentially for the latter two groups. The fourth test conditions the sample on those who do not file tax returns and again examines employment changes in the 1990s for families with two or more children relative to families with one child. Using fixed-effects empirical employment models estimated on a sample of single-parent families, our coefficient estimates are consistent with the EITC having a substantial, positive effect on the employment of families who have used or will use welfare.

Modeling College Major Choices Using Elicited Measures of Expectations and Counterfactuals

The choice of a college major plays a critical role in determining the future earnings of college graduates. Students make their college major decisions in part due to the future earnings streams associated with the different majors. We survey students about what their expected earnings would be both in the major they have chosen and in counterfactual majors. We also elicit students' subjective assessments of their abilities in chosen and counterfactual majors. We estimate a model of college major choice that incorporates these subjective expectations and assessments. We show that both expected earnings and students' abilities in the different majors are important determinants of student's choice of a college major. We also show that students' forecast errors with respect to expected earnings in different majors is potentially important, with our estimates suggesting that 7.5% of students would switch majors if they made no forecast errors.choice of college major, subjective expectations

Teenage Childbearing and Its Life Cycle Consequences: Exploiting a Natural Experiment

In this paper, we exploit a 'natural experiment' associated with human reproduction to identify the effect of teen childbearing on subsequent educational attainment, family structure, labor market outcomes and financial self-sufficiency. In particular, we exploit the fact that a substantial fraction of women who become pregnant experience a miscarriage (spontaneous abortion) and thus do not have a birth. If miscarriages were purely random and if miscarriages were the only way, other than by live births, that a pregnancy ended, then women, who had a miscarriage as a teen, would constitute an ideal control group with which to contrast teenage mothers. Exploiting this natural experiment, we devise an Instrumental Variables (IV) estimators for the consequences of teen mothers not delaying their childbearing, using data from the National Longitudinal Survey of Youth, 1979 (NLSY79). Our major finding is that many of the negative consequences of not delaying childbearing until adulthood are much smaller than has been estimated in previous studies. While we do find adverse consequences of teenage childbearing immediately following a teen mother's first birth, these negative consequences appear short- lived. By the time a teen mother reachers her late twenties, she appears to have only slightly more children, is only slightly more likely to be single mother, and has no lower levels of educational attainment than if she had delayed her childbearing to adulthood. In fact, by this age teen mothers appear to be better off in some aspects of their lives. Teenage childbearing appears to raise levels of labor supply, accumulated work experience and labor market earnings and appears to reduce the chances of living in poverty and participating in the associated social welfare programs. These estimated effects imply that the cost of teenage childbearing to U.S. taxpayers is negligible. In particular, our estimates imply that the widely held view that teenage childbearing imposes a substantial cost on government is an artifact of the failure to appropriately account for pre- existing socioeconomic differences between teen mothers and other women when estimating the causal effects of early childbearing. While teen mothers are very likely to live in poverty and experience other forms of adversity, our results imply that little of this would be changed just by getting teen mothers to delay their childbearing into adulthood.

Dealing with Limited Overlap in Estimation of Average Treatment Effects

Estimation of average treatment effects under unconfounded or ignorable treatment assignment is often hampered by lack of overlap in the covariate distributions. This lack of overlap can lead to imprecise estimates and can make commonly used estimators sensitive to the choice of specification. In such cases researchers have often used informal methods for trimming the sample. In this paper we develop a systematic approach to addressing lack of overlap. We characterize optimal subsamples for which the average treatment effect can be estimated most precisely, as well as optimally weighted average treatment effects. Under some conditions the optimal selection rules depend solely on the propensity score. For a wide range of distributions a good approximation to the optimal rule is provided by the simple selection rule to drop all units with estimated propensity scores outside the range [0.1, 0.9].Average Treatment Effects, Causality, Unconfoundness, Overlap, Treatment Effect Heterogeneity