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Papers Containing Tag(s): 'North American Industry Classification System'

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Longitudinal Business Database - 242

Bureau of Labor Statistics - 141

Center for Economic Studies - 141

Census Bureau Disclosure Review Board - 140

Standard Industrial Classification - 116

Internal Revenue Service - 111

Ordinary Least Squares - 104

Employer Identification Numbers - 103

Longitudinal Employer Household Dynamics - 103

Federal Statistical Research Data Center - 103

National Science Foundation - 101

Annual Survey of Manufactures - 98

Economic Census - 97

Bureau of Economic Analysis - 93

Business Register - 90

National Bureau of Economic Research - 89

Total Factor Productivity - 79

Census of Manufactures - 75

American Community Survey - 70

Disclosure Review Board - 70

Business Dynamics Statistics - 64

Census Bureau Business Register - 61

Current Population Survey - 61

Census of Manufacturing Firms - 59

Federal Reserve Bank - 57

County Business Patterns - 56

Metropolitan Statistical Area - 52

Chicago Census Research Data Center - 49

Quarterly Census of Employment and Wages - 46

Census Bureau Longitudinal Business Database - 43

Standard Statistical Establishment List - 42

Decennial Census - 38

Alfred P Sloan Foundation - 37

Social Security Administration - 37

Research Data Center - 37

Protected Identification Key - 36

Quarterly Workforce Indicators - 35

University of Chicago - 34

Technical Services - 32

Organization for Economic Cooperation and Development - 31

Special Sworn Status - 31

Longitudinal Firm Trade Transactions Database - 30

Cobb-Douglas - 30

Service Annual Survey - 30

Social Security - 29

Federal Reserve System - 29

Social Security Number - 29

Accommodation and Food Services - 27

Department of Homeland Security - 27

Herfindahl Hirschman Index - 27

Wholesale Trade - 26

Patent and Trademark Office - 26

Harmonized System - 26

Unemployment Insurance - 26

Retail Trade - 26

Longitudinal Research Database - 26

Department of Labor - 24

Office of Management and Budget - 24

American Economic Review - 24

Kauffman Foundation - 23

2010 Census - 22

Core Based Statistical Area - 22

Small Business Administration - 21

Survey of Business Owners - 21

Employer Characteristics File - 21

Michigan Institute for Teaching and Research in Economics - 21

Generalized Method of Moments - 21

International Trade Research Report - 21

Annual Business Survey - 20

Company Organization Survey - 20

Individual Characteristics File - 20

Environmental Protection Agency - 20

Survey of Income and Program Participation - 20

North American Industry Classi - 20

W-2 - 19

Arts, Entertainment - 19

University of Maryland - 19

World Bank - 19

Occupational Employment Statistics - 18

Securities and Exchange Commission - 18

Financial, Insurance and Real Estate Industries - 18

NBER Summer Institute - 17

Quarterly Journal of Economics - 17

World Trade Organization - 17

Local Employment Dynamics - 17

Postal Service - 17

Business Employment Dynamics - 16

Employment History File - 16

Cornell University - 16

Agriculture, Forestry - 15

Energy Information Administration - 15

Department of Economics - 15

Public Administration - 15

Journal of Economic Literature - 15

COVID-19 - 14

Management and Organizational Practices Survey - 14

Boston College - 14

American Economic Association - 14

Survey of Industrial Research and Development - 14

National Center for Science and Engineering Statistics - 14

New York University - 14

Sloan Foundation - 14

Review of Economics and Statistics - 14

Department of Commerce - 14

Educational Services - 13

Board of Governors - 13

University of Michigan - 13

Information and Communication Technology Survey - 13

Journal of Political Economy - 13

IQR - 13

Herfindahl-Hirschman - 13

Integrated Longitudinal Business Database - 13

Master Address File - 13

Census Bureau Business Dynamics Statistics - 13

Business R&D and Innovation Survey - 13

Business Research and Development and Innovation Survey - 13

Business Services - 12

Establishment Micro Properties - 12

United Nations - 12

University of California Los Angeles - 12

Annual Survey of Entrepreneurs - 12

Office of Personnel Management - 12

LEHD Program - 12

Commodity Flow Survey - 12

Characteristics of Business Owners - 12

Health Care and Social Assistance - 12

Census Bureau Center for Economic Studies - 12

Manufacturing Energy Consumption Survey - 12

Journal of Economic Perspectives - 12

Permanent Plant Number - 12

Standard Occupational Classification - 11

Oil and Gas Extraction - 11

Department of Agriculture - 11

National Establishment Time Series - 11

Professional Services - 11

Current Employment Statistics - 11

National Income and Product Accounts - 11

Department of Energy - 11

Census of Retail Trade - 11

Initial Public Offering - 11

European Union - 11

Journal of Labor Economics - 11

Harvard Business School - 10

AKM - 10

Multiple Worksite Report - 10

Person Validation System - 10

United States Census Bureau - 10

Stanford University - 10

University of Toronto - 10

State Energy Data System - 10

Statistics Canada - 10

International Trade Commission - 9

Linear Probability Models - 9

Duke University - 9

Federal Trade Commission - 9

Limited Liability Company - 9

CDF - 9

Composite Person Record - 9

Cumulative Density Function - 9

Ewing Marion Kauffman Foundation - 9

Bureau of Labor - 9

Business Register Bridge - 9

Geographic Information Systems - 9

Labor Productivity - 9

Computer Network Use Supplement - 9

Medical Expenditure Panel Survey - 9

MIT Press - 9

Electronic Data Interchange - 9

Journal of International Economics - 9

COVID - 8

Council of Economic Advisers - 8

General Accounting Office - 8

TFPQ - 8

Columbia University - 8

Guzman and Stern - 8

PSID - 8

Business Formation Statistics - 8

Department of Defense - 8

National Center for Health Statistics - 8

IBM - 8

National Longitudinal Survey of Youth - 8

Foreign Direct Investment - 8

Census Numident - 8

Economic Research Service - 8

Harvard University - 8

George Mason University - 8

American Housing Survey - 8

Review of Economic Studies - 8

Federal Tax Information - 8

Business Master File - 8

Federal Emergency Management Agency - 7

Department of Justice - 7

Employer-Household Dynamics - 7

Census of Services - 7

Legal Form of Organization - 7

LEHD Origin-Destination Employment Statistics - 7

LODES - 7

Survey of Manufacturing Technology - 7

Fabricated Metal Products - 7

Customs and Border Protection - 7

Paycheck Protection Program - 7

Cornell Institute for Social and Economic Research - 7

Successor Predecessor File - 7

Probability Density Function - 7

COMPUSTAT - 7

International Standard Industrial Classification - 7

2SLS - 6

Federal Register - 6

Form W-2 - 6

TFPR - 6

Center for Research in Security Prices - 6

Maximum Likelihood Estimation - 6

Supreme Court - 6

National Institutes of Health - 6

National Employer Survey - 6

Nonemployer Statistics - 6

Federal Statistical System - 6

European Commission - 6

North American Free Trade Agreement - 6

Heckscher-Ohlin - 6

Net Present Value - 6

Retirement History Survey - 6

UC Berkeley - 6

Georgetown University - 6

Data Management System - 6

Journal of Econometrics - 6

Kauffman Firm Survey - 6

Auxiliary Establishment Survey - 6

Labor Turnover Survey - 6

Agency for Healthcare Research and Quality - 6

New York Times - 6

Consolidated Metropolitan Statistical Areas - 6

Federal Reserve Bank of Chicago - 5

Federal Reserve Board of Governors - 5

J16 - 5

Federal Insurance Contribution Act - 5

University of California - 5

Research and Development - 5

Ohio State University - 5

Integrated Public Use Microdata Series - 5

IZA - 5

SSA Numident - 5

Code of Federal Regulations - 5

1940 Census - 5

Princeton University Press - 5

Northwestern University - 5

JOLTS - 5

American Statistical Association - 5

Wal-Mart - 5

Cambridge University Press - 5

Pollution Abatement Costs and Expenditures - 5

J23 - 4

Indian Health Service - 4

p<005 - 4

VAR - 4

University of Texas - 4

Social and Economic Supplement - 4

Centers for Disease Control and Prevention - 4

MAF-ARF - 4

Health and Retirement Study - 4

Hypothesis 2 - 4

HHS - 4

E32 - 4

Society of Labor Economists - 4

Carnegie Mellon University - 4

Consumer Expenditure Survey - 4

Department of Housing and Urban Development - 4

Census Industry Code - 4

National Institute on Aging - 4

DOB - 4

National Ambient Air Quality Standards - 4

Personally Identifiable Information - 4

National Research Council - 4

University of Minnesota - 4

CAAA - 4

BLS Handbook of Methods - 4

Pew Research Center - 4

Detailed Earnings Records - 4

Census 2000 - 4

Boston Research Data Center - 4

PAOC - 4

Department of Education - 3

Earned Income Tax Credit - 3

American Immigration Council - 3

Russell Sage Foundation - 3

ASEC - 3

Value Added - 3

Housing and Urban Development - 3

Social Science Research Institute - 3

Department of State - 3

Penn State University - 3

Princeton University - 3

Washington University - 3

Michigan Institute for Data Science - 3

Journal of Human Resources - 3

Brookings Institution - 3

National Academy of Sciences - 3

Securities Data Company - 3

Administrative Records - 3

Stern School of Business - 3

Public Use Micro Sample - 3

WECD - 3

John Haltiwanger - 33

Lucia Foster - 26

Javier Miranda - 21

Ron Jarmin - 17

Lars Vilhuber - 16

Emin Dinlersoz - 15

Nathan Goldschlag - 13

Martha Stinson - 11

Cheryl Grim - 11

Catherine Buffington - 11

John M. Abowd - 11

Zoltan Wolf - 10

Fariha Kamal - 10

Peter Schott - 10

Erik Brynjolfsson - 8

Henry Hyatt - 8

Teresa C. Fort - 8

Kevin L. McKinney - 8

Shawn Klimek - 8

Zachary Kroff - 7

Nicholas Bloom - 7

Nikolas Zolas - 7

Gale Boyd - 7

J. David Brown - 7

Stephen Redding - 7

G. Jacob Blackwood - 6

J. Daniel Kim - 6

Jay Stewart - 6

Christopher Goetz - 6

Matthias Kehrig - 6

Scott Ohlmacher - 6

Erika McEntarfer - 6

Jerome P. Reiter - 6

Xavier Giroud - 6

Sabrina Wulff Pabilonia - 5

Lawrence Warren - 5

Moises Yi - 5

Cristina Tello-Trillo - 5

Kristin Sandusky - 5

Steven J. Davis - 5

John S. Earle - 5

Ronald J Shadbegian - 5

Justin Pierce - 5

David L. Rigby - 5

Thomas Kemeny - 5

Abigail Cooke - 5

C.J. Krizan - 5

J. Bradford Jensen - 5

Randy Becker - 5

Lee Tucker - 4

Robert Seamans - 4

Emek Basker - 4

Cindy Cunningham - 4

Matthew R. Graham - 4

Mark J. Kutzbach - 4

Kristina McElheran - 4

Randall Akee - 4

Matthew Doolin - 4

James R. Spletzer - 4

Nicolas Vincent - 4

Chen Yeh - 4

Alice Zawacki - 4

Ian M. Schmutte - 4

Andrew S. Green - 4

Kevin Rinz - 4

Benjamin Pugsley - 4

Kristin McCue - 4

Andrew Bernard - 4

B.K. Atrostic - 4

Matthew Dey - 3

Sean Wang - 3

J. Frank Li - 3

Kathryn Bonney - 3

Cory Breaux - 3

David Card - 3

Jesse Rothstein - 3

Joseph Staudt - 3

Dominic A. Smith - 3

Cody Tuttle - 3

Rachel Nesbit - 3

Maggie R. Jones - 3

Melissa Chow - 3

Kyle Handley - 3

Timothy R. Wojan - 3

Stephen Tibbets - 3

Sharat Ganapati - 3

John Van Reenen - 3

Mee Jung Kim - 3

Kyung Min Lee - 3

Timothy Dunne - 3

Itay Saporta-Eksten - 3

Wayne B Gray - 3

Wei Ouyang - 3

Hyunseob Kim - 3

Natarajan Balasubramanian - 3

Mariko Sakakibara - 3

Elisabeth Ruth Perlman - 3

T. Kirk White - 3

Elton Mykerezi - 3

Richard M. Todd - 3

Matthew D. Shapiro - 3

John J. Stevens - 3

Mary Jialin Li - 3

Satkartar K. Kinney - 3

Holger M. Mueller - 3

Bryce Stephens - 3

Sang V Nguyen - 3

employ - 91

employed - 89

manufacturing - 87

market - 87

workforce - 86

labor - 83

industrial - 75

sector - 74

macroeconomic - 73

growth - 69

production - 67

employee - 63

revenue - 63

econometric - 62

recession - 62

payroll - 60

enterprise - 60

sale - 58

gdp - 57

investment - 54

entrepreneurship - 53

earnings - 53

company - 52

estimating - 51

expenditure - 51

export - 51

economist - 49

entrepreneur - 48

economically - 47

survey - 44

innovation - 44

demand - 38

agency - 34

quarterly - 34

organizational - 34

establishment - 34

worker - 34

manufacturer - 31

venture - 31

report - 31

exporter - 30

employment growth - 29

patent - 29

occupation - 28

endogeneity - 28

import - 28

technological - 27

job - 27

hiring - 27

entrepreneurial - 27

aggregate - 27

acquisition - 27

trend - 26

statistical - 25

finance - 25

spillover - 24

estimation - 23

monopolistic - 23

workplace - 23

produce - 23

financial - 22

heterogeneity - 22

incorporated - 22

wholesale - 22

efficiency - 21

proprietor - 21

earner - 21

census employment - 21

multinational - 21

disclosure - 21

salary - 21

proprietorship - 21

respondent - 20

census bureau - 20

investor - 20

employment statistics - 20

inventory - 20

data - 20

incentive - 19

corporation - 19

patenting - 19

data census - 18

accounting - 18

profit - 18

tariff - 18

microdata - 18

corporate - 17

productive - 17

employment data - 17

census data - 16

technology - 16

labor statistics - 16

warehousing - 16

regress - 16

unemployed - 16

specialization - 16

trading - 16

immigrant - 16

productivity growth - 16

metropolitan - 16

population - 15

impact - 15

hire - 15

irs - 15

longitudinal - 15

commerce - 15

exporting - 15

importer - 15

competitor - 15

innovate - 15

employment dynamics - 15

startup - 14

exogeneity - 14

record - 14

retailer - 14

retail - 14

commodity - 14

innovative - 14

leverage - 14

regional - 14

labor productivity - 14

ethnicity - 14

industry productivity - 14

researcher - 13

minority - 13

founder - 13

merger - 13

economic census - 13

stock - 13

consumption - 13

geographically - 13

datasets - 13

investing - 12

equity - 12

invest - 12

socioeconomic - 12

declining - 12

decline - 12

estimates employment - 12

region - 12

profitability - 12

diversification - 12

subsidiary - 12

shipment - 12

relocation - 12

research census - 12

growth productivity - 12

factory - 12

emission - 12

ai - 11

funding - 11

monopolistically - 11

shock - 11

oligopolistic - 11

invention - 11

layoff - 11

database - 11

immigration - 11

outsourced - 11

outsourcing - 11

epa - 11

employment estimates - 11

cost - 11

unemployment rates - 10

disparity - 10

employment count - 10

strategic - 10

turnover - 10

tenure - 10

exported - 10

earn - 10

work census - 10

country - 10

labor markets - 10

price - 10

sourcing - 10

financing - 10

subsidy - 10

area - 10

development - 10

industry wages - 10

rent - 10

industry concentration - 10

consumer - 10

business data - 10

analysis - 9

research - 9

average - 9

spending - 9

hispanic - 9

discrimination - 9

tax - 9

federal - 9

debt - 9

depreciation - 9

regression - 9

productivity dispersion - 9

regressing - 9

econometrician - 9

good - 9

innovating - 9

opportunity - 9

information census - 9

international trade - 9

firms export - 9

imported - 9

census survey - 9

competitiveness - 9

prospect - 9

wages productivity - 9

ownership - 9

decade - 9

sectoral - 9

imputation - 9

employing - 9

energy - 9

productivity measures - 9

ethnic - 9

regulation - 9

coverage - 9

employer household - 9

longitudinal employer - 9

productivity estimates - 9

study - 8

census business - 8

union - 8

industry employment - 8

trends employment - 8

innovator - 8

housing - 8

aggregation - 8

corp - 8

patented - 8

fuel - 8

reporting - 8

warehouse - 8

nonemployer businesses - 8

censuses surveys - 8

employee data - 8

effect wages - 8

employment earnings - 8

loan - 8

rural - 8

wage growth - 8

bank - 8

product - 8

firms trade - 8

firms grow - 8

residential - 8

firms productivity - 8

migrant - 8

supplier - 8

geography - 8

regional economic - 8

use census - 8

pollution - 8

clerical - 7

recession employment - 7

career - 7

retirement - 7

2010 census - 7

filing - 7

employment trends - 7

unobserved - 7

shift - 7

foreign - 7

merchandise - 7

trader - 7

innovation patenting - 7

migration - 7

relocate - 7

executive - 7

measures productivity - 7

rates employment - 7

technology adoption - 7

importing - 7

productivity dynamics - 7

developed - 7

firms young - 7

custom - 7

firms import - 7

acquirer - 7

electricity - 7

state - 7

employment wages - 7

larger firms - 7

city - 7

firm dynamics - 7

aggregate productivity - 7

expense - 7

startup firms - 7

worker demographics - 7

geographic - 7

healthcare - 7

manager - 7

industries estimate - 7

management - 7

workforce indicators - 7

agriculture - 7

businesses census - 7

statistician - 7

insurance - 7

environmental - 7

disaster - 6

fund - 6

institutional - 6

earnings employees - 6

marketing - 6

bias - 6

measures employment - 6

segregation - 6

neighborhood - 6

welfare - 6

compensation - 6

consolidated - 6

department - 6

store - 6

productivity analysis - 6

firms patents - 6

firm innovation - 6

disadvantaged - 6

younger firms - 6

growth employment - 6

globalization - 6

woman - 6

endogenous - 6

firms size - 6

conglomerate - 6

business startups - 6

pricing - 6

productivity increases - 6

wage differences - 6

renewable - 6

downturn - 6

productivity wage - 6

share - 6

lending - 6

health insurance - 6

buyer - 6

confidentiality - 6

inference - 6

volatility - 6

estimator - 6

assessed - 5

employment recession - 5

academic - 5

asset - 5

pension - 5

census disclosure - 5

employment declines - 5

earnings workers - 5

lender - 5

creditor - 5

analyst - 5

productivity variation - 5

state employment - 5

employment distribution - 5

forecast - 5

diversified - 5

entry productivity - 5

employment flows - 5

wage gap - 5

associate - 5

sector productivity - 5

businesses grow - 5

effects employment - 5

recessionary - 5

risk - 5

hurricane - 5

katrina - 5

regressors - 5

patents firms - 5

firm patenting - 5

native - 5

patenting firms - 5

wage regressions - 5

firms employment - 5

banking - 5

factor productivity - 5

location - 5

worker wages - 5

workers earnings - 5

contract - 5

plant investment - 5

level productivity - 5

residence - 5

industry growth - 5

reallocation productivity - 5

immigrant entrepreneurs - 5

wage effects - 5

premium - 5

borrowing - 5

wealth - 5

energy prices - 5

energy efficiency - 5

matching - 5

medicare - 5

classified - 5

classification - 5

productivity size - 5

productivity firms - 5

manufacturing productivity - 5

econometrically - 5

saving - 5

shareholder - 5

industrialized - 5

computer - 5

regulatory - 5

efficient - 5

insured - 5

firms census - 5

aging - 5

fluctuation - 5

information - 5

privacy - 5

statistical disclosure - 5

trade models - 5

model - 5

foreign trade - 5

pollutant - 5

plants industry - 5

polluting - 5

retailing - 5

graduate - 4

restructuring - 4

racial - 4

mandate - 4

restaurant - 4

establishments data - 4

employment firms - 4

liquidation - 4

productivity capital - 4

productivity distribution - 4

unemployment insurance - 4

startups employees - 4

segregated - 4

poverty - 4

impact employment - 4

exporters multinationals - 4

exports countries - 4

university - 4

customer - 4

sample census - 4

dispersion productivity - 4

wages employment - 4

employment unemployment - 4

advancement - 4

export market - 4

prevalence - 4

oligopoly - 4

rates productivity - 4

indian - 4

firms age - 4

employment production - 4

productivity shocks - 4

mortgage - 4

relocating - 4

migrate - 4

immigrant workers - 4

exporting firms - 4

multinational firms - 4

midwest - 4

diversify - 4

imputed - 4

estimates production - 4

increase employment - 4

taxation - 4

urban - 4

affiliate - 4

firm growth - 4

growth firms - 4

substitute - 4

advantage - 4

competitive - 4

industry variation - 4

plant productivity - 4

wage industries - 4

transition - 4

electricity prices - 4

earnings inequality - 4

managerial - 4

utilization - 4

industrial classification - 4

productivity differences - 4

tech - 4

census use - 4

employment measures - 4

agricultural - 4

trends labor - 4

economic statistics - 4

enrollment - 4

insurance coverage - 4

surveys censuses - 4

census research - 4

linked census - 4

productivity plants - 4

estimates productivity - 4

practices productivity - 4

manufacturing industries - 4

publicly - 4

regional industry - 4

costs pollution - 4

pollution abatement - 4

regional industries - 4

paper census - 3

www census - 3

employment effects - 3

educated - 3

enrollee - 3

endowment - 3

black - 3

wage variation - 3

wage earnings - 3

bankruptcy - 3

bankrupt - 3

debtor - 3

quantity - 3

deviation - 3

generation - 3

intergenerational - 3

parental - 3

renter - 3

taxable - 3

fiscal - 3

firm data - 3

distribution - 3

grocery - 3

provided census - 3

employed census - 3

downstream - 3

trade costs - 3

security - 3

productivity impacts - 3

industry heterogeneity - 3

borrower - 3

partnership - 3

migrating - 3

poorer - 3

job growth - 3

policymakers - 3

capital productivity - 3

plants firms - 3

externality - 3

resident - 3

enforcement - 3

wage data - 3

discrepancy - 3

wage changes - 3

pandemic - 3

recession exposure - 3

classifying - 3

policy - 3

equilibrium - 3

local economic - 3

takeover - 3

technical - 3

importers firms - 3

franchising - 3

rurality - 3

innovation productivity - 3

elasticity - 3

census years - 3

mexican - 3

business survival - 3

gender - 3

indicator - 3

exogenous - 3

investment productivity - 3

earnings growth - 3

export growth - 3

citizen - 3

census file - 3

inflation - 3

imputation model - 3

mobility - 3

commute - 3

locality - 3

supermarket - 3

refugee - 3

performance - 3

latino - 3

valuation - 3

firms exporting - 3

employment changes - 3

coverage employer - 3

statistical agencies - 3

environmental regulation - 3

abatement expenditures - 3

environmental expenditures - 3

capital - 3

cluster - 3

purchase - 3

Viewing papers 321 through 330 of 393


  • Working Paper

    Who Works for Startups? The Relation between Firm Age, Employee Age, and Growth

    October 2011

    Working Paper Number:

    CES-11-31

    We present evidence that young employees are an important ingredient in the creation and growth of firms. Our results suggest that young employees possess attributes or skills, such as willingness to take risk or innovativeness, which make them relatively more valuable in young, high growth, firms. Young firms disproportionately hire young employees, controlling for firm size, industry, geography and time. Young employees in young firms command higher wages than young employees in older firms and earn wages that are relatively more equal to older employees within the same firm. Moreover, young employees disproportionately join young firms that subsequently exhibit higher growth and raise venture capital financing. Finally, we show that an increase in the regional supply of young workers increases the rate of new firm creation. Our results are relevant for investors and executives in young, high growth, firms, as well as policymakers interested in fostering entrepreneurship.
    View Full Paper PDF
  • Working Paper

    Modeling Single Establishment Firm Returns to the 2007 Economic Census

    September 2011

    Working Paper Number:

    CES-11-28

    The Economic Census is one of the most important activities that the U.S. Census Bureau performs. It is critical for updating firm ownership/structure and industry information for a large number of businesses in the Census Bureau's Business Register, impacting most other economic programs. Also, it feeds into Bureau of Economic Analysis products, such as benchmark inputoutput accounts and Gross Domestic Product. The overall check-in rate for the 2007 Economic Census was just over 86%. Establishments owned by multi-location companies returned over 90% of their forms, as compared to the roughly two million single-establishment firms sampled in the Census that returned just over 80%. We model the check-in rate for single-establishment firms by using a large number of variables that might be correlated with whether or not a firm returns a form in the Economic Census. These variables are broadly categorized as the characteristics of firms, measures of external factors, and features of the survey design. We use the model for two purposes. First, by including many of the factors that may be correlated with returns we aim to focus limited advertising and outreach resources to low-return segments of the population. Second, we use the model to investigate the efficacy of an unplanned intervention expected to increase return rates: using certified mailing for one of the form follow-ups.
    View Full Paper PDF
  • Working Paper

    Nature Versus Nurture in the Origins of Highly Productive Businesses: An Exploratory Analysis of U.S. Manufacturing Establishments

    September 2011

    Working Paper Number:

    CES-11-26

    This paper investigates the origins of productivity leaders, those that operate close to and help push out the production frontier. Do such businesses emerge as top performers from the very beginning of their lives, for example as the consequence of an outstanding founding idea, technology, or location? Or, at the other extreme, do they appear initially as completely average (or even underperformers) that exhibit gradual improvement as they learn and develop with age? To answer this question we draw upon five decades of U.S. Census of Manufacturing (CM) establishment-level data, tracing the productivity leaders of the most recent CM (2007) back over their observed life spans. We also examine possible industry-level correlates of variation in the extent of nature versus nurture that are suggested by theories of industry dynamics and economic growth.
    View Full Paper PDF
  • Working Paper

    The Productivity Advantage and Global Scope of U.S. Multinational Firms

    August 2011

    Working Paper Number:

    CES-11-23

    This paper examines whether the productivity of U.S. business establishments is related to the extent to which their parent firms are globally engaged--from being an exporter to being a fledgling multinational that has taken a few cautious forays into foreign markets to being a seasoned multinational with extensive foreign operations. Theory suggests that multinationals possess proprietary assets that confer a productivity advantage over their domestically-oriented rivals, and that this advantage is positively correlated with the global scope of a firm's operations. That is, those firms with the greatest productivity advantage are able to absorb the costs and overcome the risks of operating in a wide range of foreign countries, from those where it is relatively riskfree and economical to operate, to those where it is risky, difficult, and costly. This connection between the multinational's widening of its geographic scope of operations and its productivity can be self-reinforcing. Once a multinational has successfully operated in a risky environment, it may benefit from learning effects that can lower the cost and risk of further enlargement of geographic scope. The positive correlation between a firm's global engagement and its level of productivity has already been demonstrated. This paper extends that research by testing whether the correlation holds up when productivity is measured at the level of the individual establishment, rather than at the level of the consolidated business enterprise. It also examines whether the correlation between global engagement and productivity exists in non-manufacturing industries. Finally, it examines whether linkages between the multinational's domestic and foreign operations, in the form of imports of goods by the parent company from its foreign affiliates, enhance the productivity of the multinational's domestic business establishments. The findings confirm the positive correlation between global scope and productivity and demonstrate that it holds for both manufacturing and non-manufacturing industries. The effect of imports of goods from foreign affiliates on the productivity of the establishments of their parent firm depend on the geographic location of the affiliates: Imports from affiliates in high-income countries tend to be associated with high productivity whereas those from affiliates in low-income countries tend to be associated with low productivity. The study was made possible by combining BEA enterprise-level data on the U.S. operations of U.S. multinational firms with data on all U.S. business establishments collected by the Census Bureau in the U.S. economic census covering 2002.
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  • Working Paper

    Using the Survey of Plant Capacity to Measure Capital Utilization

    July 2011

    Working Paper Number:

    CES-11-19

    Most capital in the United States is idle much of the time. By some measures, the average workweek of capital in U.S. manufacturing is as low as 55 hours per 168 hour week. The level and variability of capital utilization has important implications for understanding both the level of production and its cyclical fluctuations. This paper investigates a number of issues relating to aggregation of capital utilization measures from the Survey of Plant Capacity and makes recommendations on expanding and improving the published statistics deriving from the Survey of Plant Capacity. The paper documents a number of facts about properties of capital utilization. First, after growing for decades, capital utilization started to fall in mid 1990s. Second, capital utilization is a useful predictor of changes in capacity utilization and other factors of production. Third, adjustment of productivity measures for variable capital utilization improves statistical and economic properties of these measures. Fourth, the paper constructs weights to aggregate firm level capital utilization rates to industry and economy level, which is the major enhancement to available data.
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  • Working Paper

    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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  • Working Paper

    Beyond Cobb-Douglas: Estimation of a CES Production Function with Factor Augmenting Technology

    February 2011

    Authors: Devesh Raval

    Working Paper Number:

    CES-11-05

    Both the recent literature on production function identification and a considerable body of other empirical work on firm expansion assume a Cobb-Douglas production function. Under this assumption, all technical differences are Hicks neutral. I provide evidence from US manufacturing plants against Cobb-Douglas and present an alternative production function that better fits the data. A Cobb Douglas production function has two empirical implications that I show do not hold in the data: a constant cost share of capital and strong comovement in labor productivity and capital productivity (revenue per unit of capital). Within four digit industries, differences in cost shares of capital are persistent over time. Both the capital share and labor productivity increase with revenue, but capital productivity does not. A CES production function with labor augmenting differences and an elasticity of substitution between labor and capital less than one can account for these facts. To identify the labor capital elasticity, I use variation in wages across local labor markets. Since the capital cost to labor cost ratio falls with local area wages, I strongly reject Cobb-Douglas: capital and labor are complements. Now productivity differences are no longer neutral, which has implications on how productivity affects firms' decisions to expand or contract. Non neutral technical improvements will result in higher stocks of capital but not necessarily more hiring of labor. Specifying the correct form of the production function is more generally important for empirical work, as I demonstrate by applying my methodology to address questions of misallocation of capital.
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  • Working Paper

    Towards Unrestricted Public Use Business Microdata: The Synthetic Longitudinal Business Database

    February 2011

    Working Paper Number:

    CES-11-04

    In most countries, national statistical agencies do not release establishment-level business microdata, because doing so represents too large a risk to establishments\' confidentiality. One approach with the potential for overcoming these risks is to release synthetic data; that is, the released establishment data are simulated from statistical models designed to mimic the distributions of the underlying real microdata. In this article, we describe an application of this strategy to create a public use file for the Longitudinal Business Database, an annual economic census of establishments in the United States comprising more than 20 million records dating back to 1976. The U.S. Bureau of the Census and the Internal Revenue Service recently approved the release of these synthetic microdata for public use, making the synthetic Longitudinal Business Database the first-ever business microdata set publicly released in the United States. We describe how we created the synthetic data, evaluated analytical validity, and assessed disclosure risk.
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  • Working Paper

    Plant-Level Productivity and Imputation of Missing Data in the Census of Manufactures

    January 2011

    Working Paper Number:

    CES-11-02

    In the U.S. Census of Manufactures, the Census Bureau imputes missing values using a combination of mean imputation, ratio imputation, and conditional mean imputation. It is wellknown that imputations based on these methods can result in underestimation of variability and potential bias in multivariate inferences. We show that this appears to be the case for the existing imputations in the Census of Manufactures. We then present an alternative strategy for handling the missing data based on multiple imputation. Specifically, we impute missing values via sequences of classification and regression trees, which offer a computationally straightforward and flexible approach for semi-automatic, large-scale multiple imputation. We also present an approach to evaluating these imputations based on posterior predictive checks. We use the multiple imputations, and the imputations currently employed by the Census Bureau, to estimate production function parameters and productivity dispersions. The results suggest that the two approaches provide quite different answers about productivity.
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  • Working Paper

    Workplace Concentration of Immigrants

    November 2010

    Working Paper Number:

    CES-10-39R

    To what extent do immigrants and the native-born work in separate workplaces? Do worker and employer characteristics explain the degree of workplace concentration? We explore these questions using a matched employer-employee database that extensively covers employers in selected MSAs. We find that immigrants are much more likely to have immigrant coworkers than are natives, and are particularly likely to work with their compatriots. We find much higher levels of concentration for small businesses than for large ones, that concentration varies substantially across industries, and that concentration is particularly high among immigrants with limited English skills. We also find evidence that neighborhood job networks are strongly positively associated with concentration. The effects of networks and language remain strong when type is defined by country of origin rather than simply immigrant status. The importance of these factors varies by immigrant country of origin'for example, not speaking English well has a particularly strong association with concentration for immigrants from Asian countries. Controlling for differences across MSAs, we find that observable employer and employee characteristics account for about half of the difference between immigrants and natives in the likelihood of having immigrant coworkers, with differences in industry, residential segregation and English speaking skills being the most important factors.
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