Over decades of wage stagnation, researchers have argued that reorganizing work can boost pay for disadvantaged workers. But upgrading jobs could inadvertently shift hiring away from those workers, exacerbating their disadvantage. We theorize how work organization affects cumulative advantage in the labor market, or the extent to which high-paying positions are increasingly allocated to already-advantaged workers. Specifically, raising technical skill demands exacerbates cumulative advantage by shifting hiring towards higher-skilled applicants. In contrast, when employers increase autonomy or skills learned on-the-job, they raise wages to buy worker consent or commitment, rather than pre-existing skill. To test this idea, we match administrative earnings to task descriptions from job posts. We compare earnings for workers hired into the same occupation and firm, but under different task allocations. When employers raise complexity and autonomy, new hires' starting earnings increase and grow faster. However, while the earnings boost from complex, technical tasks shifts employment toward workers with higher prior earnings, worker selection changes less for tasks learned on-the-job and very little for high autonomy tasks. These results demonstrate how reorganizing work can interrupt cumulative advantage.
-
Occupational Classifications: A Machine Learning Approach
August 2018
Working Paper Number:
CES-18-37
Characterizing the work that people do on their jobs is a longstanding and core issue in labor economics. Traditionally, classification has been done manually. If it were possible to combine new computational tools and administrative wage records to generate an automated crosswalk between job titles and occupations, millions of dollars could be saved in labor costs, data processing could be sped up, data could become more consistent, and it might be possible to generate, without a lag, current information about the changing occupational composition of the labor market. This paper examines the potential to assign occupations to job titles contained in administrative data using automated, machine-learning approaches. We use a new extraordinarily rich and detailed set of data on transactional HR records of large firms (universities) in a relatively narrowly defined industry (public institutions of higher education) to identify the potential for machine-learning approaches to classify occupations.
View Full
Paper PDF
-
Access to Financing and Racial Pay Gap Inside Firms
July 2023
Working Paper Number:
CES-23-36
How does access to financing influence racial pay inequality inside firms? We answer this question using the employer-employee matched data administered by the U.S. Census Bureau and detailed resume data recording workers' career trajectories. Exploiting exogenous shocks to firms' debt capacity, we find that better access to debt financing significantly narrows the earnings gap between minority and white workers. Minority workers experience a persistent increase in earnings and also a rise in the pay rank relative to white workers in the same firm. The effect is more pronounced among mid- and high-skill minority workers, in areas where white workers are in shorter supply, and for firms with ex-ante less diverse boards and greater pre-existing racial inequality. With better access to financing, minority workers are also more likely to be promoted or be reassigned to technology-oriented occupations compared to white workers. Our evidence is consistent with access to financing making firms better utilize minority workers' human capital.
View Full
Paper PDF
-
Understanding Selection Processes: Organization Determinants and Performance Outcomes
October 1997
Working Paper Number:
CES-97-14
We use an establishment-level survey to examine the predictors of different types of selection practices as well as the relationship of different selection practices to organizational performance. We find that a wide range of contingencies in the organization, including job requirements, organizational size, union status, salary, and training, predict the intensity and the types of selection practices used. Further, we find that selection intensity has a significant and negative relationship with organizational sales, other things equal, that is driven by the use of less valid selection techniques.
View Full
Paper PDF
-
Earnings Inequality and Coordination Costs: Evidence from U.S. Law Firms
September 2009
Working Paper Number:
CES-09-24
Earnings inequality has increased substantially since the 1970s. Using evidence from confidential Census data on U.S. law offices on lawyers' organization and earnings, we study the extent to which the mechanism suggested by Lucas (1978) and Rosen (1982), a scale of operations effect linking spans of control and earnings inequality, is responsible for increases in inequality. We first show that earnings inequality among lawyers increased substantially between 1977 and 1992, and that the distribution of partner-associate ratios across offices changed in ways consistent with the hypothesis that coordination costs fell during this period. We then propose a 'hierarchical production function' in which output is the product of skill and time and estimate its parameters, applying insights from the equilibrium assignment literature. We find that coordination costs fell broadly and steadily during this period, so that hiring one's first associate leveraged a partner's skill by about 30% more in 1992 than 1977. We find also that changes in lawyers' hierarchical organization account for about 2/3 of the increase in earnings inequality among lawyers in the upper tail, but a much smaller share of the increase in inequality between lawyers in the upper tail and other lawyers. These findings indicate that new organizational efficiencies potentially explain increases in inequality, especially among individuals toward the top of the earnings distribution.
View Full
Paper PDF
-
An Evaluation of the Gender Wage Gap Using Linked Survey and Administrative Data
November 2020
Working Paper Number:
CES-20-34
The narrowing of the gender wage gap has slowed in recent decades. However, current estimates show that, among full-time year-round workers, women earn approximately 18 to 20 percent less than men at the median. Women's human capital and labor force characteristics that drive wages increasingly resemble men's, so remaining differences in these characteristics explain less of the gender wage gap now than in the past. As these factors wane in importance, studies show that others like occupational and industrial segregation explain larger portions of the gender wage gap. However, a major limitation of these studies is that the large datasets required to analyze occupation and industry effectively lack measures of labor force experience. This study combines survey and administrative data to analyze and improve estimates of the gender wage gap within detailed occupations, while also accounting for gender differences in work experience. We find a gender wage gap of 18 percent among full-time, year-round workers across 316 detailed occupation categories. We show the wage gap varies significantly by occupation: while wages are at parity in some occupations, gaps are as large as 45 percent in others. More competitive and hazardous occupations, occupations that reward longer hours of work, and those that have a larger proportion of women workers have larger gender wage gaps. The models explain less of the wage gap in occupations with these attributes. Occupational characteristics shape the conditions under which men and women work and we show these characteristics can make for environments that are more or less conducive to gender parity in earnings.
View Full
Paper PDF
-
Interfirm Segregation and the Black/White Wage Gap
August 1996
Working Paper Number:
CES-96-06
This paper studies interfirm racial segregation in two newly developed firm-level databases. Within the representative MSA, we find that the interfirm distribution of black and white workers is close to what would be implied by the random assignment of workers to firms. However, we also find that black workers are systematically clustered in "black" employers where managers, owners, and customers are also black. These facts may be reconciled by the facts that a) there are not enough black employers to generate much segregation and that b) perhaps other difficult-to-identify forces serve to systematically integrate black and white workers. Finally, we find that the black/white wage gap is entirely a within-firm phenomenon, as blacks do not work in firms that pay low wages on average.
View Full
Paper PDF
-
Workplace Segregation in the United States: Race, Ethnicity, and Skill
January 2007
Working Paper Number:
CES-07-02
We study workplace segregation in the United States using a unique matched employer employee data set that we have created. We present measures of workplace segregation by education and language, and by race and ethnicity, and . since skill is often correlated with race and ethnicity we assess the role of education- and language-related skill differentials in generating workplace segregation by race and ethnicity. We define segregation based on the extent to which workers are more or less likely to be in workplaces with members of the same group, and we measure segregation as the observed percentage relative to maximum segregation. Our results indicate that there is considerable segregation by education and language in the workplace. Among whites, for example, observed segregation by education is 17% (of the maximum), and for Hispanics, observed segregation by language ability is 29%. Racial (blackwhite) segregation in the workplace is of a similar magnitude to education segregation (14%), and ethnic (Hispanic-white) segregation is somewhat higher (20%). Only a tiny portion (3%) of racial segregation in the workplace is driven by education differences between blacks and whites, but a substantial fraction of ethnic segregation in the workplace (32%) can be attributed to differences in language proficiency. Finally, additional evidence suggests that segregation by language likely reflects complementarity among workers speaking the same language.
View Full
Paper PDF
-
Task Trade and the Wage Effects of Import Competition
January 2016
Working Paper Number:
CES-16-03
Do job characteristics modulate the relationship between import competition and the wages of workers who perform those jobs? This paper tests the claim that workers in occupations featuring highly routine tasks will be more vulnerable to low-wage country import competition. Using data from the US Census Bureau, we construct a pooled cross-section (1990, 2000, and 2007) of more than 1.6 million individuals linked to the establishment in which they work. Occupational measures of vulnerability to trade competition ' routineness, analytic complexity, and interpersonal interaction on the job ' are constructed using O*NET data. The linked employer-employee data allow us to model the effect of low-wage import competition on the wages of workers with different occupational characteristics. Our results show that low-wage country import competition is associated with lower wages for US workers holding jobs that are highly routine and less complex. For workers holding nonroutine and highly complex jobs, increased import competition is associated with higher wages. Finally, workers in occupations with the highest and lowest levels of interpersonal interaction see higher wages, while workers with medium-low levels of interpersonal interaction suffer lower wages with increased low-wage import competition. These findings demonstrate the importance of accounting for occupational characteristics to more fully understand the relationship between trade and wages, and suggest ways in which task trade vulnerable occupations can disadvantage workers even when their jobs remain onshore.
View Full
Paper PDF
-
Sex Segregation in U.S. Manufacturing
June 1996
Working Paper Number:
CES-96-04
This paper studies interplant sex segregation in the U.S. manufacturing industry. The study differs from previous work in that we have detailed information on the characteristics of both workers and firms, and because we measure segregation in a new and better way. We report three main findings. First, there is a substantial amount of interplant sex segregation in the U.S. manufacturing industry, although segregation is far from complete. Second, we find that female managers tend to work in the same plants as female supervisees, even once we control for other plant characteristics. And finally, we find that interplant segregation can account for a substantial fraction of the male/female wage gap in the manufacturing industry, particularly among blue-collar workers.
View Full
Paper PDF
-
Workplace Characteristics and Employment of Older Workers
September 2012
Working Paper Number:
CES-12-31
As aging of the U.S. population places increased demands on public programs such as Social Security, an important question is how long older Americans are willing and able to work before they retire from the labor force. While studies based on household surveys have provided information on the role of savings, health status, pension and health insurance coverage, there is relatively little information on how workplace and employer characteristics affect the employment of older workers. In this study we use linked employer-employee data to explore the relationship between the characteristics of jobs held at age 55 and early retirement. We focus on a sample of 63-year-olds drawn from the 2005-2008 American Community Survey. We match this sample to information on their earnings, employment, employers and coworkers drawn from the Longitudinal Employer-Household Dynamics data for the years in which they age from 55 to 63. We use employment status as reported in the ACS to split the sample into those who have retired by age 63 and those who continue to work. We then examine differences between early retirees and continuing workers in the characteristics of their employment at age 55, and at how these characteristics change as they approach age 63. We find that early retirees are more likely to be employed by larger employers at age 55 than are continuers. They work for employers with somewhat higher pay than do continuers, and are less likely to have young coworkers.
View Full
Paper PDF