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.

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.

COVID-19 She-Cession

The COVID-19 outbreak and the measures to contain the virus have caused severe disruptions to labor supply and demand worldwide. Understanding who is bearing the burden of the crisis and what drives it is crucial for designing policies going forward. Using the U.S. monthly Current Population Survey data, this paper analyzes differences in employment responses between men and women. The main finding is that less educated women with young children were the most adversely affected during the first nine months of the crisis.The loss of employment of women with young children due to the burden of additional childcare is estimated to account for 45 percent of the increase in the employment gender gap, and to reduce total output by 0.36 percent between April and November 2020.

Twenty-Five Years After the ADA: Situating Disability in America’s System of Stratification

Americans with disabilities represent a significant proportion of the population. Despite their numbers and the economic hardships they face, disability is often excluded from general sociological studies of stratification and inequality. To address some of these omissions, this paper focuses on employment and earnings inequality by disability status in the United States since the enactment of the 1990 Americans with Disabilities Act (ADA), a policy that affects many Americans. After using Current Population Survey data from 1988-2014 to describe these continuing disparities, we review research that incorporates multiple theories to explain continuing gaps in employment and earnings by disability status. In addition to theories pointing to the so-called failures of the ADA, explanations also include general criticisms of the capitalist system and economic downturns, dependence on social welfare and disability benefits, the nature of work, and employer attitudes. We conclude with a call for additional research on disability and discrimination that helps to better situate disability within the American stratification system.

Disparate Disruptions: Intersectional COVID-19 Employment Effects by Age, Gender, Education, and Race/Ethnicity

These are unprecedented times, as the COVID-19 pandemic disrupts public health, social interaction, and employment attachments. Evidence to date has been about broad shifts in unemployment rates as a percent of the labor force. We draw on monthly Current Population Survey data to examine subpopulation changes in employment states across the life course, from January through April 2020. COVID-19 downturns produced disparate life-course impacts. There are increases in unemployment and being out of the workforce at all ages, but especially among young adults, with young women most at risk. Intersectional analyses document conjoint life-course vulnerabilities by gender, educational attainment, and race/ethnicity. For example, Black men aged 20–29 with a college degree experienced a 12.4 percentage point increase in being not in the labor force for other reasons (NILF-other). Individuals with less than a college degree in their 50s and 60s were more likely to become unemployed, regardless of race. And more non-college-educated Asian men in their 60s and 70s reported being retired (6.6 and 8.9 percentage point increases, respectively). Repercussions from the pandemic may well challenge assumptions and possibilities for older adults’ working longer.

Part-time by Gender, Not Choice: The Gender Gap in Involuntary Part-time Work

Gender inequality in the labor market is a key focus of stratification research. Increasingly, variation in hours worked separates men and women’s employment experiences. Though women often voluntarily work part-time at higher rates than men, involuntary part-time work is both analytically distinct from voluntary part-time work and leaves workers economically precarious. To date, researchers have not systematically investigated gender disparities in involuntary part-time work in the United States. Utilizing Current Population Survey data, we test for a gender gap in involuntary part-time work and evaluate two potential mechanisms: occupational segregation and penalties for care work. We find that women are much more likely than men to work in involuntary part-time positions. Occupational segregation and a care work penalty partially, but not fully, explain this gap. Findings extend existing theories of gender inequality in the workforce and show how an underresearched dimension of job quality creates gender stratification in the United States.

The Distributional Impact of Recessions

Using the U.S. Current Population Survey data, this paper compares the distributional impacts of the Pandemic Crisis and those of the Global Financial Crisis in terms of (i) worker characteristics, (ii) job characteristics–“social” (where individuals interact to consume goods), “teleworkable” (where individuals have the option of working at home), and “essential” jobs (which were not subject to government mandated shut-downs during the recent recession), and (iii) wage distributions. We find that young and less educated workers have always been affected more in recessions, while women and Hispanics were more severely affected during the Pandemic Recession. Surprisingly, teleworkable, social and essential jobs have been historically less cyclical. This historical acyclicality of teleworkable occupations is attributable to its higher share of skilled workers. Unlike during the Global Financial Crisis, however, employment in social industries fell more whereas employment in teleworkable and essential jobs fell less during the Pandemic Crisis. Lastly, during both recessions, workers at low-income earnings have suffered more than top-income earners, suggesting a significant distributional impact of the two recessions.

Why is the American South Poorer?

ABSTRACT While American poverty research has devoted greater attention to poverty in the Northeast and Midwest, poverty has been persistently higher in the U.S. South than in the other regions. Thus, this study investigates the enduring question of why poverty is higher in the South. Specifically, it demonstrates the role of power resources as an explanation for this regional disparity, yet also considers family demography, economic structure, and racial/ethnic heterogeneity. Using six waves (2000–2016) of U.S. Census Current Population Survey data from the Luxembourg Income Study (N = 1,157,914), this study employs a triangulation of analytic techniques: (1) tests of means and proportion differences, (2) multilevel linear probability models of poverty, and (3) binary decomposition of the South/non-South poverty gap. The comparison of means associated with the power resource hypothesis yields the largest substantive differences between the South and the non-South. In the multilevel models, adjusting for power resources yields the largest declines in the South coefficient. Binary decomposition results indicate power resources are the second most influential factor explaining the South/non-South poverty gap. Overall, power resources are an important source of the South/non-South poverty gap, though economic structure and other factors certainly also play a role. Results also suggest an important interplay between power resources and race. Altogether, these results underscore the importance of macrolevel characteristics of places, including political and economic contexts, in shaping individual poverty and overall patterns of inequality.

Individual Components of Three Inequality Measures for Analyzing Shapes of Inequality

In common sociological research, income inequality is measured only at the aggregate level. The main purpose of this article is to demonstrate that there is more than meets the eye when inequality is indicated by a single measure. In this article, I introduce an alternative method that evaluates individuals’ contributions to inequality as well as the between-group and within-group components of these individual contributions. I first highlight three common inequality measures, the Gini index and two generalized entropy measures—Theil’s T and Theil’s L indices—by presenting their individual components as a method for evaluating inequality. Five artificial data examples illustrate the use of these individual components first. An empirical analysis of the 2007 and 2017 Current Population Survey data then focuses on the differences in inequality revealed by such individual inequality components between the 2007 and 2017. The individual-level inequality measures can reveal patterns of inequality concealed by single measures at the aggregate level. In particular, the Gini individual measures differentiate cases better than the generalized entropy measures and tend to have smaller standard errors in a regression analysis.

Eight types of “baby boomer” entrepreneurs

This study developed a typology of eight heterogeneous types of baby boomer entrepreneurs and extended the occupational choice model regarding driving factors for entrepreneurialism in this population. The study relied on monthly USA Current Population Survey data across 11 years (2006–2016), and using 2-sample t-tests and multilevel mixed-effects logistic regression models that incorporated both individual- and metropolitan-level effects, found that new and unincorporated baby boomer entrepreneurs were more likely than their continuing and incorporated counterparts, respectively, to come from central cities, and that continuing, new opportunity, full-time, and incorporated baby boomer entrepreneurs were more likely than new, new necessity, part-time, and unincorporated baby boomer entrepreneurs, respectively, to be physically healthier and better educated. The typology and findings on USA baby boomers have global implications for career progression in older workers.