How Internal Hiring Affects Occupational Stratification

When employers conduct more internal hiring, does this facilitate upward mobility for low-paid workers or does it protect the already advantaged? To assess the effect of within-employer job mobility on occupational stratification, we develop a framework that accounts for inequality in both rates and payoffs of job changing. Internal hiring facilitates advancement for workers without strong credentials, but it excludes workers at employers with few good jobs to advance into. Analyzing Current Population Survey data, we find that when internal hiring increases in a local labor market, it facilitates upward mobility less than when external hiring increases. When workers in low-paid occupations switch jobs, they benefit more from switching employers than from moving jobs within the same employer. One-third of this difference is due to low-paid workers isolated in industries with few high-paying jobs to transfer into. An occupationally segregated labor market therefore limits the benefits that internal hiring can bring to the workers who most need upward mobility.

Boomerang Kids in the Pandemic: How High-Income Families Are Their Own Safety Net

In this Economic Commentary, we use the Current Population Survey to identify and examine the influx of young adults who moved in with their parents during the COVID-19 pandemic—the so-called boomerang kids—and how being in their family home influences their labor market decisions and sensitivity to occupational risk relative to that of other young adults. We find that most boomerang kids come from high-income families that can financially support them through nonemployment spells that are, on average, longer than those of young adults not living with their parents. Young adults living with their parents are also more responsive to the risk of COVID-19 exposure in the workplace and are less likely to work in occupations with high exposure risk.

Disability and Precarious Work

This chapter examines the prevalence, causes, and consequences of precarious work among people with disabilities. New US evidence from the government’s Current Population Survey, and reviews of prior studies, show that workers with disabilities are more likely than those without disabilities to be in precarious jobs. This is explained in part by many people with disabilities choosing precarious jobs due to the flexibility these jobs can provide. Other people with disabilities, however, face prejudice and discrimination in obtaining standard jobs and must resort to taking precarious jobs with less security, lower pay and benefits, little or no training and opportunities for advancement, and few, if any, worker protections. Workers with disabilities tend to have worse outcomes on these measures than workers without disabilities in every type of employment arrangement. The disability pay gap is higher in precarious jobs than in full-time permanent jobs. The mixed evidence suggests that precarious jobs create good employment outcomes for some workers with disabilities but bad outcomes for others. While continued efforts are needed to decrease barriers to traditional employment for people with disabilities, efforts are also needed to bring higher pay and greater legal protections to precarious workers, which would especially benefit workers with disabilities.

Extending current population survey linkages: Obstacles and solutions for linking monthly data from 1976 to 1988

The Current Population Survey (CPS) has been the nation’s primary source of information about employment and unemployment for decades. The data are widely used by social scientists and policy makers to study labor force participation, poverty, and other high-priority topics. An underutilized feature of the CPS is its short-run panel component. This paper discusses the unique challenges encountered when linking basic monthly data as well as when linking the March basic monthly data to the Annual Social and Economic (ASEC) Supplement in the 1976–1988 period. We describe strategies to address linking obstacles and document linkage rates.

Measuring the Impact of COVID-19 on Businesses and People: Lessons from the Census Bureau’s Experience

We provide an overview of Census Bureau activities to enhance the consistency, timeliness, and relevance of our data products in response to the COVID-19 pandemic. We highlight new data products designed to provide timely and granular information on the pandemic's impact: the Small Business Pulse Survey, weekly Business Formation Statistics, the Household Pulse Survey, and Community Resilience Estimates. We describe pandemic-related content introduced to existing surveys such as the Annual Business Survey and the Current Population Survey. We discuss adaptations to ensure the continuity and consistency of existing data products such as principal economic indicators and the American Community Survey.

Trends in US Spatial Inequality: Concentrating Affluence and a Democratization of Poverty

We use Bureau of Economic Analysis, census, and Current Population Survey data to study trends in income inequality across US states and counties from 1960-2019. Both states and counties have diverged in terms of per capita pretax incomes since the late1990s, with transfers serving to dampen this divergence. County incomes have been diverging since the late 1970s. These trends in mean income mask opposing patterns among top-and bottom-income quantiles. Top incomes have diverged markedly across states since the late 1970s. In contrast, bottom-income quantiles and poverty rates have converged across areas in recent decades.

Measuring Marriage and Cohabitation: Assessing Same-Sex Relationship Status in the Current Population Survey

Since June 26, 2015, marriages to same-sex couples have been legally recognized across every state in the United States, bringing new challenges to measuring relationship status in surveys. Starting in 2015 for select households and in 2017 for all households, the Current Population Survey (CPS) used a new household roster that directly identified same-sex and different-sex cohabiting and married couples. We gauge how the estimates and characteristics of same-sex couples vary according to old and new roster categories using the 2015/2016 and 2017/2018 CPS. Employing the new roster, we distinguish the sociodemographic characteristics of married and cohabiting same-sex couples. These findings have implications for the measurement of same-sex couples and our understanding of marriage among sexual minorities.