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Papers Containing Tag(s): 'Business Register Bridge'

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Alfred P Sloan Foundation - 14

Longitudinal Employer Household Dynamics - 14

Standard Industrial Classification - 11

Employment History File - 10

Longitudinal Business Database - 9

Individual Characteristics File - 9

North American Industry Classification System - 9

Employer Identification Numbers - 9

Bureau of Labor Statistics - 8

National Science Foundation - 7

Center for Economic Studies - 7

Cornell University - 7

Research Data Center - 7

Current Population Survey - 6

International Trade Research Report - 6

Standard Statistical Establishment List - 6

Employer Characteristics File - 6

Quarterly Workforce Indicators - 6

Quarterly Census of Employment and Wages - 6

Master Address File - 6

Disclosure Review Board - 5

Internal Revenue Service - 5

Service Annual Survey - 5

Business Master File - 5

Social Security Number - 5

Business Register - 5

Protected Identification Key - 5

American Housing Survey - 5

Business Employment Dynamics - 5

Local Employment Dynamics - 5

Successor Predecessor File - 5

Chicago Census Research Data Center - 5

American Community Survey - 4

Ordinary Least Squares - 4

Social Security Administration - 4

Core Based Statistical Area - 4

Composite Person Record - 4

North American Industry Classi - 4

Federal Tax Information - 4

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Survey of Income and Program Participation - 4

Unemployment Insurance - 4

CDF - 4

Federal Statistical Research Data Center - 3

LEHD Program - 3

American Economic Review - 3

Decennial Census - 3

Office of Personnel Management - 3

Establishment Micro Properties - 3

Annual Survey of Manufactures - 3

Viewing papers 1 through 10 of 15


  • Working Paper

    Employer Dominance and Worker Earnings in Finance

    August 2024

    Authors: Wenting Ma

    Working Paper Number:

    CES-24-41

    Large firms in the U.S. financial system achieve substantial economic gains. Their dominance sets them apart while also raising concerns about the suppression of worker earnings. Utilizing administrative data, this study reveals that the largest financial firms pay workers an average of 30.2% more than their smallest counterparts, significantly exceeding the 7.9% disparity in nonfinance sectors. This positive size-earnings relationship is consistently more pronounced in finance, even during the 2008 crisis or compared to the hightech sector. Evidence suggests that large financial firms' excessive gains, coupled with their workers' sought-after skills, explain this distinct relationship.
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  • Working Paper

    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.
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  • Working Paper

    LEHD Infrastructure S2014 files in the FSRDC

    September 2018

    Authors: Lars Vilhuber

    Working Paper Number:

    CES-18-27R

    The Longitudinal Employer-Household Dynamics (LEHD) Program at the U.S. Census Bureau, with the support of several national research agencies, maintains 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 2014 Snapshot of the LEHD Infrastructure files as they are made available in the Census Bureau's secure and restricted-access Research Data Center network. The document attempts to provide a comprehensive description of all researcher-accessible files, of their creation, and of any modifications made to the files to facilitate researcher access.
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  • Working Paper

    The Employee Clientele of Corporate Leverage: Evidence from Personal Labor Income Diversification

    January 2018

    Working Paper Number:

    CES-18-01

    Using employee job-level data, we empirically test the equilibrium matching between a firm's debt usage and its employee job risk aversion ('clientele effect'), as predicted by the existing theories. We measure job risk aversion for a firm's employees using their labor income concentration in the firm, calculated as the fraction of the employees' total personal labor income or total household labor income that is accounted for by their income from this particular firm. Using a sample of about 1,400 U.S. public firms from 1990-2008, we find a robust negative relation between leverage and employee job risk aversion, which is consistent with the clientele effect. Specifically, when a firm's existing employees have higher labor income concentration in it, the firm tends to have lower contemporaneous and future leverage. Moreover, in terms of new hires, firms with lower leverage are more likely to recruit employees with less alternative labor income. Our results continue to hold after we control for firm fixed effects, other employee characteristics such as wages, gender, age, race, and education, and managerial risk attitudes. Further, the matching between a firm's leverage and its workers' labor income concentration in it is more pronounced for firms with higher labor intensity and those in financial distress.
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  • Working Paper

    Locked In? The Enforceability of Covenants Not to Compete and the Careers of High-Tech Workers

    January 2017

    Working Paper Number:

    CES-17-09

    We examine how the enforceability of covenants not to compete (CNCs) affects employee mobility and wages of high-tech workers. We expect CNC enforceability to lengthen job spells and constrain mobility, but its impact on wages is ambiguous. Using a matched employer-employee dataset covering the universe of jobs in thirty U.S states, we find that higher CNC enforceability is associated with longer job spells (fewer jobs over time), and a greater chance of leaving the state for technology workers. Consistent with a 'lock-in' effect of CNCs, we find persistent wage-suppressing effects that last throughout a worker's job and employment history.
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  • Working Paper

    Cheap Imports and the Loss of U.S. Manufacturing Jobs

    January 2016

    Working Paper Number:

    CES-16-05

    This paper examines the role of international trade, and specifically imports from low-wage countries, in determining patterns of job loss in U.S. manufacturing industries between 1992 and 2007. Motivated by intuitions from factor-proportions-inspired work on offshoring and heterogeneous firms in trade, we build industry-level measures of import competition. Combining worker data from the Longitudinal Employer-Household Dynamics dataset, detailed establishment information from the Census of Manufactures, and transaction-level trade data, we find that rising import competition from China and other developing economies increases the likelihood of job loss among manufacturing workers with less than a high school degree; it is not significantly related to job losses for workers with at least a college degree.
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  • Working Paper

    LEHD Infrastructure files in the Census RDC - Overview

    June 2014

    Working Paper Number:

    CES-14-26

    The Longitudinal Employer-Household Dynamics (LEHD) Program at the U.S. Census Bureau, with the support of several national research agencies, maintains 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 2011 Snapshot of the LEHD Infrastructure files as they are made available in the Census Bureaus secure and restricted-access Research Data Center network. The document attempts to provide a comprehensive description of all researcher-accessible files, of their creation, and of any modifcations made to the files to facilitate researcher access.
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  • Working Paper

    AN 'ALGORITHMIC LINKS WITH PROBABILITIES' CONCORDANCE FOR TRADEMARKS: FOR DISAGGREGATED ANALYSIS OF TRADEMARK & ECONOMIC DATA

    September 2013

    Working Paper Number:

    CES-13-49

    Trademarks (TMs) shape the competitive landscape of markets for goods and services in all countries through branding and conveying information and quality inherent in products. Yet, researchers are largely unable to conduct rigorous empirical analysis of TMs in the modern economy because TM data and economic activity data are organized differently and cannot be analyzed jointly at the industry or sectoral level. We propose an 'Algorithmic Links with Probabilities' (ALP) approach to match TM data to economic data and enable these data to speak to each other. Specifically, we construct a NICE Class Level concordance that maps TM data into trade and industry categories forward and backward. This concordance allows researchers to analyze differences in TM usage across both economic and TM sectors. In this paper, we apply this ALP concordance for TMs to characterize patterns in TM applications across countries, industries, income levels and more. We also use the concordance to investigate some of the key determinants of international technology transfer by comparing bilateral TM applications and bilateral patent applications. We conclude with a discussion of possible extensions of this work, including deeper indicator-level concordances and further analyses that are possible once TM data are linked with economic activity data.
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  • Working Paper

    THE BRIGHT SIDE OF CORPORATE DIVERSIFICATION: EVIDENCE FROM INTERNAL LABOR MARKETS

    August 2013

    Working Paper Number:

    CES-13-40

    We estimate the labor market consequences of corporate diversification using worker-firm matched data from the U.S. Census Bureau. We find evidence that workers in diversified firms have greater cross-industry mobility. Displaced workers experience significantly smaller losses when they move to a firm in a new industry in which their former firm alsooperates. We also find more active internal labor markets in diversified firms. Diversified firms exploit the option to redeploy workers internally from declining to expanding industries. Though diversified firms pay higher wages to retain workers, their labor is also more productive than focused firms of the same size, age, and industry. Overall, internal labor markets provide a bright side to corporate diversification.
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  • Working Paper

    HUMAN CAPITAL LOSS IN CORPORATE BANKRUPTCY

    July 2013

    Working Paper Number:

    CES-13-37

    This paper quantifies the 'human costs of bankruptcy' by estimating employee wage losses induced by the bankruptcy filing of employers using employee-employer matched data from the U.S. Census Bureau's LEHD program. We find that employee wages begin to deteriorate one year prior to bankruptcy. One year after bankruptcy, the magnitude of the decline in annual wages is 30% of pre-bankruptcy wages. The decrease in wages persists (at least) for five years post-bankruptcy. The present value of wage losses summed up to five years after bankruptcy amounts to 29-49% of the average pre-bankruptcy market value of firm. Furthermore, we find that the ex-ante wage premium to compensate for the ex-post wage loss due to bankruptcy can be of similar magnitude with that of the tax benefits of debt.
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