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Testing for Wage Discrimination in U.S. Manufacturing
September 2012
Working Paper Number:
CES-12-23
In spite of the large literature on labor market discrimination, the quantity of solid evidence on discrimination is relatively limited. This is because evidence of discrimination is difficult to obtain. Two individuals may be treated equally, but this does not prove discrimination unless we can show that the differences in treatment were not justified by differences in productivity. The method most commonly used to identify wage discrimination, the Oaxaca decomposition, is flawed because any omitted variables that are correlated with gender will contribute to the unexplained portion of the wage gap, leading to an over- or under-estimation of wage discrimination. Audit studies provide more direct evidence of differential treatment, but are costly to carry out. Only a small number of studies attempt to measure worker productivity to see if wage differences are justified. This may be because the data needed to measure productivity are difficult to obtain. This paper tests for wage discrimination by gender and race by estimating relative productivity from 2002 Census of Manufacturing data linked to demographic information on workers from Longitudinal Employer-Household Dynamics (LEHD) files. Comparing the estimated productivity ratios to the observed wage ratios, I conclude that females and blacks face wage discrimination in US manufacturing.
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Dynamically Consistent Noise Infusion and Partially Synthetic Data as Confidentiality Protection Measures for Related Time Series
July 2012
Working Paper Number:
CES-12-13
The Census Bureau's Quarterly Workforce Indicators (QWI) provide detailed quarterly statistics on employment measures such as worker and job flows, tabulated by worker characteristics in various combinations. The data are released for several levels of NAICS industries and geography, the lowest aggregation of the latter being counties. Disclosure avoidance methods are required to protect the information about individuals and businesses that contribute to the underlying data. The QWI disclosure avoidance mechanism we describe here relies heavily on the use of noise infusion through a permanent multiplicative noise distortion factor, used for magnitudes, counts, differences and ratios. There is minimal suppression and no complementary suppressions. To our knowledge, the release in 2003 of the QWI was the first large-scale use of noise infusion in any official statistical product. We show that the released statistics are analytically valid along several critical dimensions { measures are unbiased and time series properties are preserved. We provide an analysis of the degree to which confidentiality is protected. Furthermore, we show how the judicious use of synthetic data, injected into the tabulation process, can completely eliminate suppressions, maintain analytical validity, and increase the protection of the underlying confidential data.
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The Transitional Costs of Sectoral Reallocation: Evidence from the Clean Air Act and the Workforce
January 2012
Working Paper Number:
CES-12-02
New environmental regulations lead to a rearrangement of production away from polluting industries, and workers in those industries are adversely affected. This paper uses linked worker-firm data in the United States to estimate the transitional costs associated with reallocating workers from newly regulated industries to other sectors of the economy. The focus on workers rather than industries as the unit of analysis allows me to examine previously unobserved economic outcomes such as non-employment and long run earnings losses from job transitions, both of which are critical to understanding the reallocative costs associated with these policies. Using panel variation induced by the 1990 Clean Air Act Amendments (CAAA), I find that the reallocative costs of environmental policy are significant. Workers in newly regulated plants experienced, in aggregate, more than $9 billion inforegone earnings for the years after the change in policy. Most of these costs are driven by non-employment and lower earnings in future employment, while earnings of workers who remain with their firm change little. Relative to the estimated benefits of the 1990 CAAA, these one-time transitional costs are small. However, the estimated costs far exceed the workforce compensation policies designed to mitigate some of these earnings losses.
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Changes in Firm Pension Policy: Trends Away from Traditional Defined Benefit Plans
November 2011
Working Paper Number:
CES-11-36
In light of the recent concerns regarding the solvency of Social Security's Old-Age, Survivors and Disability Insurance (OASDI), private pensions may play an increasingly important role in retirement welfare of US retirees. However, the private pension landscape has evolved in ways that may result in lower private pension wealth for retirees. One recent such phenomenon involves the conversion of traditional defined benefit pension plans to cash balance plans, which resulted in lower pension benefits for many workers. In this study, I investigate how characteristics of the firm's workforce influenced whether the firm converted their traditional pension plan to a cash balance plan and how these characteristics related to the firm's pension plan policy more generally. Using the Longitudinal Employer-Household Data and pension plan data from the Department of Labor/Internal Revenue Service and the Pension Benefit Guaranty Corporation, I found little evidence of workforce age distribution effects on the likelihood of DB plan conversion to a cash balance plan in the 1990s. More generally, I consistently find positive associations between firms with older and more female workforces and defined contribution plans during the same time.
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A Guide to the MEPS-IC Government List Sample Microdata
September 2011
Working Paper Number:
CES-11-27
The Medical Expenditure Panel Survey-Insurance Component (MEPS-IC) is conducted to provide nationally representative estimates on employer sponsored health insurance. MEPSIC data are collected from private sector employers, as well as state and local governments. While similar information is gathered from these two sectors, differences in the survey process exist. The goal of this paper is to provide details on the public sector including types of state and local government employers, sample design, general information on the data collected in the MEPS-IC, and additional sources of information.
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Raising the Barcode Scanner: Technology and Productivity in the Retail Sector
May 2011
Working Paper Number:
CES-11-16R
Barcodes and barcode scanners transformed the grocery industry in the 1970s. I use store-level data from the 1972, 1977, and 1982 Census of Retail Trade, matched to data on store scanner installations, to estimate scanners' effect on labor productivity. I find that early scanners increased a store's labor productivity, on average, by approximately 4.5 percent in the first few years. The effect was larger in stores carrying more packaged products, consistent with the presence of network externalities. Short-run gains were small relative to fixed costs, suggesting that the impediment to widespread adoption of the new technology was profitability, not coordination problems.
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LEHD Infrastructure Files in the Census RDC: Overview of S2004 Snapshot
April 2011
Working Paper Number:
CES-11-13
The Longitudinal Employer-Household Dynamics (LEHD) Program at the U.S. Census Bureau, with the support of several national research agencies, has built a set of infrastructure files using administrative data provided by state agencies, enhanced with information from other administrative data sources, demographic and economic (business) surveys and censuses. The LEHD Infrastructure Files provide a detailed and comprehensive picture of workers, employers, and their interaction in the U.S. economy. This document describes the structure and content of the 2004 Snapshot of the LEHD Infrastructure files as they are made available in the Census Bureau's Research Data Center network.
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Computer Networks and Productivity Revisited: Does Plant Size Matter? Evidence and Implications
September 2010
Working Paper Number:
CES-10-25
Numerous studies have documented a positive association between information technology (IT) investments and business- and establishment-level productivity, but these studies usually pay sole or disporportionate attention to small- or medium-sized entities. In this paper, we revisit the evidence for manufacturing plants presented in Atrostic and Nguyen (2005) and show that the positive relationship between computer networks and labor productivity is only found among small- and medium-sized plants. Indeed, for larger plants the relationship is negative, and employment-weighted estimates indicate computer networks have a negative relationship with the productivity of employees, on average. These findings indicate that computer network investments may have an ambiguous relationship with aggregate labor productivity growth.
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Professional Employer Organizations: What Are They, Who Uses Them and Why Should We Care?
September 2010
Working Paper Number:
CES-10-22
More and more U.S. workers are counted as employees of firms that they do not actually work for. Among such workers are those who staffed by temporary help service (THS) agencies and leased employees who are on the payroll of professional employment organizations (PEOs) but work for PEOs' client firms. While several papers study firms' use of THS services, few examine firms' use of PEO services. In this article, we summarize PEOs' business practices and examine how the intensity of their use varies across industries, geographic areas, and establishment characteristics using both public and confidential data.
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National Estimates of Gross Employment and Job Flows from the Quarterly Workforce Indicators with Demographic and Industry Detail
June 2010
Working Paper Number:
CES-10-11
The Quarterly Workforce Indicators (QWI) are local labor market data produced and released every quarter by the United States Census Bureau. Unlike any other local labor market series produced in the U.S. or the rest of the world, the QWI measure employment flows for workers (accession and separations), jobs (creations and destructions) and earnings for demographic subgroups (age and gender), economic industry (NAICS industry groups), detailed geography (block (experimental), county, Core- Based Statistical Area, and Workforce Investment Area), and ownership (private, all) with fully interacted publication tables. The current QWI data cover 47 states, about 98% of the private workforce in those states, and about 92% of all private employment in the entire economy. State participation is sufficiently extensive to permit us to present the first national estimates constructed from these data. We focus on worker, job, and excess (churning) reallocation rates, rather than on levels of the basic variables. This permits comparison to existing series from the Job Openings and Labor Turnover Survey and the Business Employment Dynamics Series from the Bureau of Labor Statistics. The national estimates from the QWI are an important enhancement to existing series because they include demographic and industry detail for both worker and job flow data compiled from underlying micro-data that have been integrated at the job and establishment levels by the Longitudinal Employer-Household Dynamics Program at the Census Bureau. The estimates presented herein were compiled exclusively from public-use data series and are available for download.
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