Good information on self-employment is needed to inform the ongoing discussion of the rise of the gig economy and its implications for workers. Tax data show significant growth in self-employment not captured in the Annual Social and Economic Supplement to the Current Population Survey (CPS-ASEC). The growing gap reflects both self-employment in tax data missing from the CPS-ASEC and self-employment misreported as wage and salary work. We document consistent patterns in the discrepancies between the tax and survey data but are able to explain only a modest share of the growing disagreement between them.
This paper establishes five new facts about instructional costs in higher education using department-level data from a broad range of institutions. Costs vary widely across fields, ranging from electrical engineering (90% higher than English) to math (25% lower). This pattern is largely explained by differences in class size and faculty pay. Some STEM fields experienced steep declines in expenditures over the past 17 years, while others saw increases. Changes in class size and teaching loads alongside a shift toward contingent faculty explain these trends. Finally, the association between online instruction and instructional costs is statistically indistinguishable from zero.
Building on earlier work that shows that the Earned Income Tax Credit (EITC) has a substantial positive effect on maternal labor supply, we show that labor supply effects are concentrated among mothers with children under age 3, with only moderate effects of the EITC on the labor supply of mothers with teenagers. These increases in labor supply are coupled with large increases in the use and cost of child care among mothers with children under age 3. Results highlight the importance of considering heterogeneous treatment effects of policy and have implications for child care policy and other family policy.
We estimate the returns to a broad set of graduate degrees. To control for heterogeneity in preferences and ability, we use fixed effects for combinations of field-specific undergraduate and graduate degrees obtained by the last time we observe an individual. Basically, we compare earnings before the graduate degree to earnings after it. Using National Science Foundation data, we find large differences across graduate fields in earnings effects. The returns often depend on the undergraduate major. The contribution of occupational upgrading to the earnings gain varies across degrees. Finally, simple regression-based estimates of returns to graduate fields are often highly misleading.
This study presents new evidence on the impacts of unionization using administrative data matching workers to employers in a regression discontinuity design. Close union elections exhibit substantial nonrandom selection or manipulation. Estimates accounting for this selection show that unionization substantially decreases payroll, employment, average worker earnings, and establishment survival. Payroll and earnings decreases are driven by composition changes, with older and higher-paid workers leaving unionizing establishments and younger workers joining or staying. Worker-level effects on earnings are small and are reconciled with large negative establishment-level effects in a model of employer and employee selection into union jobs.
This paper uses administrative employment and conviction data to evaluate laws that restrict access to job seekers’ criminal records. Convictions generate decreases in employment and earnings, partly due to shifts toward lower-paying industries less likely to check criminal histories. However, a 2013 Seattle law barring employers from examining job seekers’ records until after an initial screening had negligible impacts on ex-offenders’ labor market outcomes. The results are consistent with employers deferring background checks until later in the interview process or ex-offenders applying only to jobs where clean records are not required, a pattern supported by survey evidence.
We use linked birth and education records from Florida to investigate how the identification of childhood disabilities varies by race and school racial composition. Using a series of decompositions, we find that black and Hispanic students are identified with disabilities at lower rates than are observationally similar white students. Black and Hispanic students are overidentified in schools with relatively small shares of minorities and substantially underidentified in schools with large minority shares. Our results are consistent with a heightened awareness among school officials of disabilities in students who are racially and ethnically distinct from the majority race in the school.
We analyze how the formal recognition of foreign qualifications affects immigrants’ labor market outcomes. The empirical analysis is based on a novel German data set that links respondents’ survey information to their administrative records, allowing us to observe immigrants at monthly intervals before, during, and after their application for occupational recognition. We find that 3 years after obtaining recognition, immigrants earn 19.8% higher wages and are 24.5 percentage points more likely to be employed than immigrants in the control group. We further document that occupational recognition leads to full convergence of immigrants’ earnings to those of their native counterparts.
We use administrative payroll data to estimate the effect of the minimum wage on employment and wages. We find that both effects are nuanced. While the overall number of low-wage workers in firms declines, incumbent workers are no less likely to remain employed. We find that firms reduce employment primarily through hiring, and there is significant heterogeneity across the nontradable and tradable sectors. For wages, we find modest spillovers extending up to $2.50 above the minimum wage. Spillovers accrue to both incumbent workers and new hires, but only within firms that employ a significant fraction of low-wage workers.
This paper examines the role of spillover effects of minimum wages and threat effects of unionization in changes in wage inequality in the United States between 1979 and 2017. A distribution regression framework is introduced to estimate both types of spillover effects. Threat effects double the contribution of deunionization to the increase in male wage inequality. Spillover effects magnify the explanatory power of declining minimum wages to two-thirds of the increase in inequality at the bottom end of the female wage distribution.