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Papers Containing Tag(s): 'Census Bureau Business Register'

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Longitudinal Business Database - 70

North American Industry Classification System - 60

Employer Identification Numbers - 57

Internal Revenue Service - 47

Business Register - 47

Center for Economic Studies - 44

Bureau of Labor Statistics - 41

Census Bureau Disclosure Review Board - 37

Longitudinal Employer Household Dynamics - 35

Economic Census - 31

National Science Foundation - 29

Business Dynamics Statistics - 26

Federal Statistical Research Data Center - 23

Current Population Survey - 23

Bureau of Economic Analysis - 23

National Bureau of Economic Research - 22

Ordinary Least Squares - 19

American Community Survey - 19

Social Security Administration - 18

County Business Patterns - 17

Standard Industrial Classification - 17

Social Security - 15

Quarterly Census of Employment and Wages - 15

Annual Survey of Manufactures - 15

Total Factor Productivity - 15

Protected Identification Key - 15

Census Bureau Longitudinal Business Database - 14

Disclosure Review Board - 14

Decennial Census - 14

Federal Reserve Bank - 14

Survey of Income and Program Participation - 13

Standard Statistical Establishment List - 13

Metropolitan Statistical Area - 13

Research Data Center - 12

Census of Manufactures - 12

Social Security Number - 12

University of Maryland - 12

Kauffman Foundation - 12

Quarterly Workforce Indicators - 11

Service Annual Survey - 11

Department of Labor - 10

Patent and Trademark Office - 10

W-2 - 10

Alfred P Sloan Foundation - 10

Longitudinal Firm Trade Transactions Database - 9

Unemployment Insurance - 9

Cornell University - 9

Organization for Economic Cooperation and Development - 8

Department of Homeland Security - 8

Federal Reserve System - 8

Technical Services - 8

Business Research and Development and Innovation Survey - 8

Retail Trade - 8

Small Business Administration - 8

2010 Census - 8

Postal Service - 8

University of Chicago - 8

Longitudinal Research Database - 8

Business Employment Dynamics - 7

Survey of Industrial Research and Development - 7

Annual Business Survey - 7

Initial Public Offering - 7

Master Address File - 7

Financial, Insurance and Real Estate Industries - 7

University of Michigan - 6

Accommodation and Food Services - 6

Survey of Business Owners - 6

World Bank - 6

Medical Expenditure Panel Survey - 6

Cornell Institute for Social and Economic Research - 6

Harmonized System - 5

Disability Insurance - 5

Company Organization Survey - 5

Employer Characteristics File - 5

Agriculture, Forestry - 5

Integrated Longitudinal Business Database - 5

IQR - 5

Paycheck Protection Program - 5

Office of Management and Budget - 5

Department of Housing and Urban Development - 5

Person Validation System - 5

Sloan Foundation - 5

Characteristics of Business Owners - 5

Retirement History Survey - 5

Foreign Direct Investment - 5

National Institute on Aging - 5

AKM - 5

Chicago Census Research Data Center - 5

Local Employment Dynamics - 5

Agency for Healthcare Research and Quality - 5

LEHD Program - 5

Linear Probability Models - 4

Business Services - 4

Board of Governors - 4

National Income and Product Accounts - 4

Customs and Border Protection - 4

Individual Characteristics File - 4

World Trade Organization - 4

Arts, Entertainment - 4

Wholesale Trade - 4

Housing and Urban Development - 4

Computer Assisted Personal Interview - 4

Business Formation Statistics - 4

American Economic Association - 4

Census of Manufacturing Firms - 4

Probability Density Function - 4

Department of Economics - 4

George Mason University - 4

Annual Survey of Entrepreneurs - 4

Statistics Canada - 4

MIT Press - 4

Core Based Statistical Area - 4

Business R&D and Innovation Survey - 4

Labor Productivity - 4

Census Bureau Business Dynamics Statistics - 4

International Trade Research Report - 4

COMPUSTAT - 4

International Trade Commission - 3

Department of Agriculture - 3

Federal Register - 3

Earned Income Tax Credit - 3

NBER Summer Institute - 3

2SLS - 3

General Accounting Office - 3

Cobb-Douglas - 3

Occupational Employment Statistics - 3

Office of Personnel Management - 3

American Housing Survey - 3

Educational Services - 3

Health Care and Social Assistance - 3

COVID-19 - 3

Economic Research Service - 3

SSA Numident - 3

Department of State - 3

Master Beneficiary Record - 3

Supplemental Nutrition Assistance Program - 3

Census Bureau Person Identification Validation System - 3

Social Science Research Institute - 3

MAF-ARF - 3

Population Estimates Program - 3

Workforce Information Council Administrative Wage Record Enhancement Study Group - 3

COVID - 3

Herfindahl Hirschman Index - 3

New York University - 3

Guzman and Stern - 3

Securities and Exchange Commission - 3

Data Management System - 3

Health and Retirement Study - 3

Kauffman Firm Survey - 3

National Center for Health Statistics - 3

Management and Organizational Practices Survey - 3

Review of Economics and Statistics - 3

Research and Development - 3

Census Bureau Center for Economic Studies - 3

Michigan Institute for Teaching and Research in Economics - 3

Detailed Earnings Records - 3

VAR - 3

Stanford University - 3

Business Master File - 3

Journal of Labor Economics - 3

Department of Commerce - 3

Employment History File - 3

IZA - 3

National Research Council - 3

workforce - 22

sector - 22

employ - 22

survey - 20

growth - 19

entrepreneurship - 19

recession - 19

manufacturing - 18

payroll - 18

quarterly - 18

revenue - 18

labor - 18

earnings - 17

company - 17

enterprise - 16

entrepreneur - 16

employed - 16

gdp - 15

sale - 15

respondent - 15

agency - 14

economist - 14

data census - 14

market - 13

employee - 13

estimating - 13

census bureau - 13

econometric - 12

investment - 12

acquisition - 12

entrepreneurial - 12

employment growth - 12

industrial - 11

population - 11

production - 11

expenditure - 11

innovation - 10

patent - 10

data - 10

aggregate - 9

census employment - 9

corporation - 9

finance - 9

patenting - 9

proprietorship - 9

economically - 9

worker - 9

report - 9

productivity growth - 8

census data - 8

startup - 8

economic census - 8

irs - 7

organizational - 7

establishment - 7

proprietor - 7

export - 7

multinational - 7

longitudinal - 7

trend - 7

macroeconomic - 7

coverage - 7

microdata - 7

growth firms - 7

technological - 6

manufacturer - 6

financial - 6

filing - 6

merger - 6

salary - 6

earn - 6

earner - 6

statistical - 6

efficiency - 6

occupation - 6

incorporated - 6

loan - 6

growth productivity - 6

census business - 6

firm growth - 6

firms grow - 6

federal - 5

lender - 5

inventory - 5

hiring - 5

measures productivity - 5

businesses grow - 5

subsidiary - 5

exporter - 5

investor - 5

lending - 5

funding - 5

bank - 5

job - 5

unemployed - 5

use census - 5

startup firms - 5

econometrician - 5

record - 5

research census - 5

business data - 5

firms census - 5

insurance - 5

average - 4

incentive - 4

labor statistics - 4

bankruptcy - 4

debt - 4

invention - 4

productivity measures - 4

import - 4

firms export - 4

trading - 4

venture - 4

prospect - 4

innovative - 4

firms patents - 4

firm innovation - 4

employment dynamics - 4

employment firms - 4

financing - 4

leverage - 4

borrower - 4

job growth - 4

sampling - 4

household surveys - 4

medicaid - 4

declining - 4

profit - 4

business startups - 4

corp - 4

industry productivity - 4

demand - 4

endogeneity - 4

matching - 4

identifier - 4

innovate - 4

statistician - 4

aging - 4

younger firms - 4

firms young - 4

study - 4

pension - 4

insured - 4

corporate - 3

liquidation - 3

bankrupt - 3

creditor - 3

innovation patenting - 3

imputation - 3

estimates productivity - 3

aggregate productivity - 3

regress - 3

www census - 3

nonemployer businesses - 3

international trade - 3

tariff - 3

foreign - 3

patents firms - 3

employment estimates - 3

employment data - 3

employment statistics - 3

worker demographics - 3

longitudinal employer - 3

trends employment - 3

employment trends - 3

borrowing - 3

equity - 3

borrow - 3

warehousing - 3

disaster - 3

banking - 3

poverty - 3

survey households - 3

population survey - 3

pandemic - 3

propensity - 3

available census - 3

socioeconomic - 3

assessed - 3

decline - 3

layoff - 3

growth employment - 3

spillover - 3

information census - 3

productive - 3

productivity dispersion - 3

monopolistic - 3

datasets - 3

linkage - 3

estimation - 3

impact - 3

census survey - 3

labor productivity - 3

regressing - 3

downturn - 3

wholesale - 3

reporting - 3

businesses census - 3

employment wages - 3

state - 3

ethnicity - 3

founder - 3

researcher - 3

estimates employment - 3

heterogeneity - 3

intergenerational - 3

family - 3

innovator - 3

regression - 3

profitable - 3

firms employment - 3

endogenous - 3

analysis - 3

research - 3

accounting - 3

acquirer - 3

department - 3

saving - 3

retirement - 3

retiree - 3

health - 3

healthcare - 3

uninsured - 3

health insurance - 3

Viewing papers 61 through 70 of 99


  • Working Paper

    A Portrait of Firms that Invest in R&D

    January 2016

    Working Paper Number:

    CES-16-41

    We focus on the evolution and behavior of firms that invest in research and development (R&D). We build upon the cross-sectional analysis in Foster and Grim (2010) that identified the characteristics of top R&D spending firms and follow up by charting the behavior of these firms over time. Our focus is dynamic in nature as we merge micro-level cross-sectional data from the Survey of Industrial Research and Development (SIRD) and the Business Research & Development and Innovation Survey (BRDIS) with the Longitudinal Business Database (LBD). The result is a panel firm-level data set from 1992 to 2011 that tracks firms' performances as they enter and exit the R&D surveys. Using R&D expenditures to proxy R&D performance, we find the top R&D performing firms in the U.S. across all years to be large, old, multinational enterprises. However, we also find that the composition of R&D performing firms is gradually shifting more towards smaller domestic firms with expenditures being less sensitive to scale effects. We find a high degree of persistence for these firms over time. We chart the history of R&D performing firms and compare them to all firms in the economy and find substantial differences in terms of age, size, firm structure and international activity; these differences persist when looking at future firm outcomes.
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  • Working Paper

    The Management and Organizational Practices Survey (MOPS): An Overview*

    January 2016

    Working Paper Number:

    CES-16-28

    Understanding productivity and business dynamics requires measuring production outputs and inputs. Through its surveys and use of administrative data, the Census Bureau collects information on production outputs and inputs including labor, capital, energy, and materials. With the introduction of the Management and Organizational Practices Survey (MOPS), the Census Bureau added information on another component of production: management. It has long been hypothesized that management is an important component of firm success, but until recently the study of management was confined to hypotheses, anecdotes, and case studies. Building upon the work of Bloom and Van Reenen (2007), the first-ever large scale survey of management practices in the United States, the MOPS, was conducted by the Census Bureau for 2010. A second, enhanced version of the MOPS is being conducted for 2015. The enhancement includes two new topics related to management: data and decision making (DDD) and uncertainty. As information technology has expanded plants are increasingly able to utilize data in their decision making. Structured management practices have been found to be complementary to DDD in earlier studies. Uncertainty has policy implications because uncertainty is found to be associated with reduced investment and employment. Uncertainty also plays a role in the targeting component of management.
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  • Working Paper

    Where Has All the Skewness Gone? The Decline in High-Growth (Young) Firms in the U.S.

    November 2015

    Working Paper Number:

    CES-15-43

    The pace of business dynamism and entrepreneurship in the U.S. has declined over recent decades. We show that the character of that decline changed around 2000. Since 2000 the decline in dynamism and entrepreneurship has been accompanied by a decline in high-growth young firms. Prior research has shown that the sustained contribution of business startups to job creation stems from a relatively small fraction of high-growth young firms. The presence of these high-growth young firms contributes to a highly (positively) skewed firm growth rate distribution. In 1999, a firm at the 90th percentile of the employment growth rate distribution grew about 31 percent faster than the median firm. Moreover, the 90-50 differential was 16 percent larger than the 50-10 differential reflecting the positive skewness of the employment growth rate distribution. We show that the shape of the firm employment growth distribution changes substantially in the post-2000 period. By 2007, the 90-50 differential was only 4 percent larger than the 50-10, and it continued to exhibit a trend decline through 2011. The reflects a sharp drop in the 90th percentile of the growth rate distribution accounted for by the declining share of young firms and the declining propensity for young firms to be high-growth firms.
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  • Working Paper

    Allocation of Company Research and Development Expenditures to Industries Using a Tobit Model

    November 2015

    Working Paper Number:

    CES-15-42

    This paper uses Census microdata and a regression-based approach to assign multi-division firms' pre-2008 Research and Development (R&D) expenditures to more than one industry. Since multi-division firms conduct R&D in more than one industry, assigning R&D to corresponding industries provides a more accurate representation of where R&D actually takes place and provides a consistent time-series with the National Science Foundation R&D by line of business information. Firm R&D is allocated to industries on the basis of observed industry payroll, as befits the historic importance of payroll in Census assignments of firms to industry. The results demonstrate that the method of assigning R&D to industries on the basis of payroll works well in earlier years, but becomes less effective over time as firms outsource their manufacturing function.
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  • Working Paper

    The Human Factor in Acquisitions: Cross-Industry Labor Mobility and Corporate Diversification

    September 2015

    Working Paper Number:

    CES-15-31

    Internal labor markets facilitate cross-industry worker reallocation and collaboration, and the resulting benefits are largest when the markets include industries that utilize similar worker skills. We construct a matrix of industry pair-wise human capital transferability using information obtained from more than 11 million job changes. We show that diversifying acquisitions occur more frequently among industry pairs with higher human capital transferability. Such acquisitions result in larger labor productivity gains and are less often undone in subsequent divestitures. Moreover, acquirers retain more high skill workers and they exploit the real option to move workers from the target firm to jobs in other industries inside the merged firm. Overall, our results identify human capital as a source of value from corporate diversification and provide an explanation for seemingly unrelated acquisitions.
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  • Working Paper

    Is there an Advantage to Working? The Relationship between Maternal Employment and Intergenerational Mobility

    September 2015

    Working Paper Number:

    CES-15-27

    We investigate the question of whether investing in a child's development by having a parent stay at home when the child is young is correlated with the child's adult outcomes. Specifically, do children with stay-at-home mothers have higher adult earnings than children raised in households with a working mother? The major contribution of our study is that, unlike previous studies, we have access to rich longitudinal data that allows us to measure both the parental earnings when the child is very young and the adult earnings of the child. Our findings are consistent with previous studies that show insignificant differences between children raised by stay-at-home mothers during their early years and children with mothers working in the market. We find no impact of maternal employment during the first 5 years of a child's life on earnings, employment, or mobility measures of either sons or daughters. We do find, however, that maternal employment during children's high school years is correlated with a higher probability of employment as adults for daughters and a higher correlation between parent and daughter earnings ranks.
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  • Working Paper

    Business Dynamics of Innovating Firms: Linking U.S. Patents with Administrative Data on Workers and Firms

    July 2015

    Working Paper Number:

    CES-15-19

    This paper discusses the construction of a new longitudinal database tracking inventors and patent-owning firms over time. We match granted patents between 2000 and 2011 to administrative databases of firms and workers housed at the U.S. Census Bureau. We use inventor information in addition to the patent assignee firm name to and improve on previous efforts linking patents to firms. The triangulated database allows us to maximize match rates and provide validation for a large fraction of matches. In this paper, we describe the construction of the database and explore basic features of the data. We find patenting firms, particularly young patenting firms, disproportionally contribute jobs to the U.S. economy. We find patenting is a relatively rare event among small firms but that most patenting firms are nevertheless small, and that patenting is not as rare an event for the youngest firms compared to the oldest firms. While manufacturing firms are more likely to patent than firms in other sectors, we find most patenting firms are in the services and wholesale sectors. These new data are a product of collaboration within the U.S. Department of Commerce, between the U.S. Census Bureau and the U.S. Patent and Trademark Office.
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  • Working Paper

    Modeling Endogenous Mobility in Wage Determiniation

    June 2015

    Working Paper Number:

    CES-15-18

    We evaluate the bias from endogenous job mobility in fixed-effects estimates of worker- and firm-specific earnings heterogeneity using longitudinally linked employer-employee data from the LEHD infrastructure file system of the U.S. Census Bureau. First, we propose two new residual diagnostic tests of the assumption that mobility is exogenous to unmodeled determinants of earnings. Both tests reject exogenous mobility. We relax the exogenous mobility assumptions by modeling the evolution of the matched data as an evolving bipartite graph using a Bayesian latent class framework. Our results suggest that endogenous mobility biases estimated firm effects toward zero. To assess validity, we match our estimates of the wage components to out-of-sample estimates of revenue per worker. The corrected estimates attribute much more of the variation in revenue per worker to variation in match quality and worker quality than the uncorrected estimates.
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  • Working Paper

    FIRM AGE AND SIZE IN THE LONGITUDINAL EMPLOYER-HOUSEHOLD DYNAMICS DATA

    March 2014

    Working Paper Number:

    CES-14-16

    The Census Bureau's Quarterly Workforce Dynamics (QWI) and OnTheMap now provide detailed workforce statistics by employer age and size. These data allow a first look at the demographics of workers at small and young businesses as well as detailed analysis of how hiring, turnover, job creation/destruction vary throughout a firm's lifespan. Both the QWI and OnTheMap are tabulated from the Longitudinal Employer-Household Dynamics (LEHD) linked employer-employee data. Firm age and size information was added to the LEHD data through integration of Business Dynamics Statistics (BDS) microdata into the LEHD jobs frame. This paper describes how these two new firm characteristics were added to the microdata and how they are tabulated in QWI and OnTheMap
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  • Working Paper

    GLOBALIZATION AND TOP INCOME SHARES

    February 2014

    Authors: Lin Ma

    Working Paper Number:

    CES-14-07

    How does globalization affect the income gaps between the rich and the poor? This paper presents a new piece of empirical evidence showing that access to the global market, either through exporting or through multinational production, is associated with a higher executive-to-worker pay ratio within the firm. It then builds a model with heterogeneous firms, occupational choice, and executive compensation to model analytically and assess quantitatively the impact of globalization on the income gaps between the rich and the poor. The key mechanism is that the 'gains from trade' are not distributed evenly within the same firm. The compensation of an executive is positively linked to the size of the firm, while the wage paid to the workers is determined in a country- wide labor market. Any extra profit earned in the foreign markets benefits the executives more than the average worker. Counterfactual exercises suggest that this new channel is quantitatively important for the observed surge in top income shares in the data. Using the changes in the volume of trade and multinational firm sales, the model can explain around 33 percent of the surge in top income shares over the past two decades in the United States.
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