Knowledge that Transforms

We study the US labor market transitions using a latent variable approach, explicitly modeling the persistent misclassification process and the non-Markovian nature of the underlying true labor force dynamics. A closed-form global identification for misclassification probabilities and labor transition probabilities is established through an eigenvalue-eigenvector decomposition. Contrary to existing studies, our empirical results suggest that the observed data have understated the true mobility in labor force statuses after we account for persistence in both the misclassification errors and the latent true labor force dynamics.

We quantify firm heterogeneity in skill returns and present direct evidence of worker-firm complementarities. Within a model of firms’ demand for cognitive and noncognitive attributes, we show that identification depends on the availability of skill measures. Linking administrative data to test scores, we document worker sorting and convex earnings-skill relationships. We find that (1) both skills’ returns vary substantially across employers and correlate weakly within firms; (2) workers with large endowments of a skill populate firms with higher returns to it, and sorting intensifies with the cross-sectional dispersion of returns; and (3) complementarities and sorting significantly influence the earnings distribution.

Exploiting cross–commuting zone differences in age composition among the old, this paper estimates the impact of retirements on youth labor market outcomes over the period 1980–2017. In commuting zones where fewer workers retire because of the initial age structure, there is no evidence of significant effects on youth employment, but the share of younger workers in high-skill jobs declines, while the share of younger workers in low-skill jobs rises. Fewer retirements also leads to declining youth wages and lower job mobility. This suggests that the retirement slowdown in recent decades has contributed to deteriorating early-career outcomes.

We consider how adverse selection affects the efficiency of turnover and postturnover job assignments. In the model, when a high-ability worker is not promoted at the worker’s current employer because of a lack of available managerial openings, it is efficient for the worker to move to a firm seeking a high-ability worker to promote. But this type of turnover does not occur given asymmetric information and adverse selection. We show that up-or-out contracts can be an efficient response to this inefficiency, where our analysis matches several observations concerning real-world promotion decisions and practices related to up-or-out.

Using a two-level randomized experiment, we find that job search assistance (JSA) reduces unemployment among the treated but also creates displacement effects. Analyses of mechanisms show that vacancy referrals from caseworkers to job seekers explain the positive effects for the treated by helping the job seekers apply to the most relevant jobs earlier. We also find that the overall assessment of JSA hinges on how the displacement effects hit the labor market and to what extent firms react by opening new vacancies. The displacement is larger in weak labor markets, and we find no displacement of resources.

In addition to realized earnings and employment shocks, forward-looking individuals are presumed to condition their consumption and labor supply decisions on their subjective beliefs about future labor market risks. This paper uses rich panel data to document considerable individual heterogeneity in earnings growth expectations and in the perceived likelihood of voluntary and involuntary job exits. We examine how expectations evolve over the working life and business cycle and how they covary with macroeconomic expectations and personal experiences. While largely consistent with patterns in realized outcomes, our findings highlight the unanticipated nature of the pandemic recession and the ensuing resignation wave.

This study explores relationships between parental resource trajectories and child development and their implications for intergenerational mobility. By modifying the child skill formation technology to incorporate new skills emerging during adolescence, we analyze the importance of the timing of family resources on life outcomes, educational attainment, and participation in crime. Parental financial resources partially offset deficiencies in nonpecuniary inputs to children’s human capital. Estimates of the intergenerational influence on child outcomes are strongly influenced by the choice of lifetime versus snapshot parental income measures. The most predictive ages of children when family resources are measured vary by the outcome analyzed.

This paper develops a spatial general equilibrium job search model to study the effects of local and universal minimum wage policies on employment, wages, job postings, vacancies, migration, and welfare. Workers search for jobs locally and in neighboring areas, deciding whether to migrate or commute after receiving remote offers. The model, estimated using ACS and QWI data, reliably forecasts commuting responses to city minimum wage hikes. Simulations show that low-skill (noncollege) workers benefit from local wage increases up to $12.50. The greatest per capita welfare gain for all workers is achieved by a $15.25 universal minimum wage.

I investigate high school tracking policies using a dynamic discrete choice model of study programs and unobserved effort. I estimate the model using data from Flanders (Belgium) and perform an ex-ante evaluation of a policy that encourages underperforming students to switch to less academically ori-ented programs. This reduces grade retention by a third and dropout by 11%. Although it decreases college enrollment, the decrease in college graduation is small and insignificant. I also show that modeling effort is important, otherwise we would predict smaller decreases in grade retention and dropout and larger decreases in college enrollment and graduation.

This paper examines the driving forces of family income dynamics by developing a unified framework to estimate permanent and transitory variation in head earnings, spouse earnings, and transfer income, as well as permanent and transitory correlations between these income sources. A complete decomposition using the PSID 1970–2018 shows that transitory variation in head earnings alone accounts for more than half of the total family income inequality. Insurance against transitory shocks to head earnings comes primarily from transfer income rather than spouse earnings. Both permanent and transitory variations in spouse earnings have an equalizing effect on family income inequality.