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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 161 through 170 of 393


  • Working Paper

    R&D or R vs. D? Firm Innovation Strategy and Equity Ownership

    April 2020

    Working Paper Number:

    CES-20-14

    We analyze a unique dataset that separately reports research and development expenditures for a large panel of public and private firms. Definitions of 'research' and 'development' in this dataset, respectively, correspond to definitions of knowledge 'exploration' and 'exploitation' in the innovation theory literature. We can thus test theories of how equity ownership status relates to innovation strategy. We find that public firms have greater research intensity than private firms, inconsistent with theories asserting private ownership is more conducive to exploration. We also find public firms invest more intensely in innovation of all sorts. These results suggest relaxed financing constraints enjoyed by public firms, as well as their diversified shareholder bases, make them more conducive to investing in all types of innovation. Reconciling several seemingly conflicting results in prior research, we find private-equity-owned firms, though not less innovative overall than other private firms, skew their innovation strategies toward development and away from research.
    View Full Paper PDF
  • Working Paper

    The Micro-Level Anatomy of the Labor Share Decline

    March 2020

    Working Paper Number:

    CES-20-12

    The labor share in U.S. manufacturing declined from 62 percentage points (ppts) in 1967 to 41 ppts in 2012. The labor share of the typical U.S. manufacturing establishment, in contrast, rose by over 3 ppts during the same period. Using micro-level data, we document five salient facts: (1) since the 1980s, there has been a dramatic reallocation of value added toward the lower end of the labor share distribution; (2) this aggregate reallocation is not due to entry/exit, to 'superstars" growing faster or to large establishments lowering their labor shares, but is instead due to units whose labor share fell as they grew in size; (3) low labor share (LL) establishments benefit from high revenue labor productivity, not low wages; (4) they also enjoy a product price premium relative to their peers, pointing to a significant role for demand-side forces; and (5) they have only temporarily lower labor shares that rebound after five to eight years. This transient pattern has become more pronounced over time, and the dynamics of value added and employment are increasingly disconnected.
    View Full Paper PDF
  • Working Paper

    Do Short-Term Incentives Affect Long-Term Productivity?

    March 2020

    Working Paper Number:

    CES-20-10

    Previous research shows that stock repurchases that are caused by earnings management lead to reductions in firm-level investment and employment. It is natural to expect firms to cut less productive investment and employment first, which could lead to a positive effect on firm-level productivity. However, using Census data, we find that firms make cuts across the board irrespective of plant productivity. This pattern seems to be associated with frictions in the labor market. Specifically, we find evidence that unionization of the labor force may prevent firms from doing efficient downsizing, forcing them to engage in easy or expedient downsizing instead. As a result of this inefficient downsizing, EPS-driven repurchases lead to a reduction in long-term productivity.
    View Full Paper PDF
  • Working Paper

    Between Firm Changes in Earnings Inequality: The Dominant Role of Industry Effects

    February 2020

    Working Paper Number:

    CES-20-08

    We find that most of the rising between firm earnings inequality that dominates the overall increase in inequality in the U.S. is accounted for by industry effects. These industry effects stem from rising inter-industry earnings differentials and not from changing distribution of employment across industries. We also find the rising inter-industry earnings differentials are almost completely accounted for by occupation effects. These results link together the key findings from separate components of the recent literature: one focuses on firm effects and the other on occupation effects. The link via industry effects challenges conventional wisdom.
    View Full Paper PDF
  • Working Paper

    Do Cash Windfalls Affect Wages? Evidence from R&D Grants to Small Firms

    February 2020

    Working Paper Number:

    CES-20-06

    This paper examines how employee earnings at small firms respond to a cash flow shock in the form of a government R&D grant. We use ranking data on applicant firms, which we link to IRS W2 earnings and other U.S. Census Bureau datasets. In a regression discontinuity design, we find that the grant increases average earnings with a rent-sharing elasticity of 0.07 (0.21) at the employee (firm) level. The beneficiaries are incumbent employees who were present at the firm before the award. Among incumbent employees, the effect increases with worker tenure. The grant also leads to higher employment and revenue, but productivity growth cannot fully explain the immediate effect on earnings. Instead, the data and a grantee survey are consistent with a backloaded wage contract channel, in which employees of financially constrained firms initially accept relatively low wages and are paid more when cash is available.
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  • Working Paper

    Rising Import Tariffs, Falling Export Growth: When Modern Supply Chains Meet Old-Style Protectionism

    January 2020

    Working Paper Number:

    CES-20-01

    We examine the impacts of the 2018-2019 U.S. import tariff increases on U.S. export growth through the lens of supply chain linkages. Using 2016 confidential firm-trade linked data, we document the implied incidence and scope of new import tariffs. Firms that eventually faced tariff increases on their imports accounted for 84% of all exports and represented 65% of manufacturing employment. For all affected firms, the implied cost is $900 per worker in new duties. To estimate the effect on U.S. export growth, we construct product-level measures of import tariff exposure of U.S. exports from the underlying firm micro data. More exposed products experienced 2 percentage point lower growth relative to products with no exposure. The decline in exports is equivalent to an ad valorem tariff on U.S. exports of almost 2% for the typical product and almost 4% for products with higher than average exposure.
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  • Working Paper

    Nonemployer Statistics by Demographics (NES-D): Exploring Longitudinal Consistency and Sub-national Estimates

    December 2019

    Working Paper Number:

    CES-19-34

    Until recently, the quinquennial Survey of Business Owners (SBO) was the only source of information for U.S. employer and nonemployer businesses by owner demographic characteristics such as race, ethnicity, sex and veteran status. Now, however, the Nonemployer Statistics by Demographics series (NES-D) will replace the SBO's nonemployer component with reliable, and more frequent (annual) business demographic estimates with no additional respondent burden, and at lower imputation rates and costs. NES-D is not a survey; rather, it exploits existing administrative and census records to assign demographic characteristics to the universe of approximately 25 million (as of 2016) nonemployer businesses. Although only in the second year of its research phase, NES-D is rapidly moving towards production, with a planned prototype or experimental version release of 2017 nonemployer data in 2020, followed by annual releases of the series. After the first year of research, we released a working paper (Luque et al., 2019) that assessed the viability of estimating nonemployer demographics exclusively with administrative records (AR) and census data. That paper used one year of data (2015) to produce preliminary tabulations of business counts at the national level. This year we expand that research in multiple ways by: i) examining the longitudinal consistency of administrative and census records coverage, and of our AR-based demographics estimates, ii) evaluating further coverage from additional data sources, iii) exploring estimates at the sub-national level, iv) exploring estimates by industrial sector, v) examining demographics estimates of business receipts as well as of counts, and vi) implementing imputation of missing demographic values. Our current results are consistent with the main findings in Luque et al. (2019), and show that high coverage and demographic assignment rates are not the exception, but the norm. Specifically, we find that AR coverage rates are high and stable over time for each of the three years we examine, 2014-2016. We are able to identify owners for approximately 99 percent of nonemployer businesses (excluding C-corporations), 92 to 93 percent of identified nonemployer owners have no missing demographics, and only about 1 percent are missing three or more demographic characteristics in each of the three years. We also find that our demographics estimates are stable over time, with expected small annual changes that are consistent with underlying population trends in the U.S.. Due to data limitations, these results do not include C-corporations, which represent only 2 percent of nonemployer businesses and 4 percent of receipts. Without added respondent burden and at lower imputation rates and costs, NES-D will provide high-quality business demographics estimates at a higher frequency (annual vs. every 5 years) than the SBO.
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  • Working Paper

    Maternal Labor Dynamics: Participation, Earnings, and Employer Changes

    December 2019

    Working Paper Number:

    CES-19-33

    This paper describes the labor dynamics of U.S. women after they have had their first and subsequent children. We build on the child penalty literature by showing the heterogeneity of the size and pattern of labor force participation and earnings losses by demographic characteristics of mothers and the characteristics of their employers. The analysis uses longitudinal administrative earnings data from the Longitudinal Employer-Household Dynamics database combined with the Survey of Income and Program Participation survey data to identify women, their fertility timing, and employment. We find that women experience a large and persistent decrease in earnings and labor force participation after having their first child. The penalty grows over time, driven by the birth of subsequent children. Non-white mothers, unmarried mothers, and mothers with more education are more likely to return to work following the birth of their first child. Conditional on returning to the labor force, women who change employers earn more after the birth of their first child than women who return to their pre-birth employers. The probability of returning to the pre-birth employer and industry is heterogeneous over both the demographics of mothers and the characteristics of their employers.
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  • Working Paper

    Founding Teams and Startup Performance

    November 2019

    Working Paper Number:

    CES-19-32

    We explore the role of founding teams in accounting for the post-entry dynamics of startups. While the entrepreneurship literature has largely focused on business founders, we broaden this view by considering founding teams, which include both the founders and the initial employees in the first year of operations. We investigate the idea that the success of a startup may derive from the organizational capital that is created at firm formation and is inalienable from the founding team itself. To test this hypothesis, we exploit premature deaths to identify the causal impact of losing a founding team member on startup performance. We find that the exogenous separation of a founding team member due to premature death has a persistently large, negative, and statistically significant impact on post-entry size, survival, and productivity of startups. While we find that the loss of a key founding team member (e.g. founders) has an especially large adverse effect, the loss of a non-key founding team member still has a significant adverse effect, lending support to our inclusive definition of founding teams. Furthermore, we find that the effects are particularly strong for small founding teams but are not driven by activity in small business-intensive or High Tech industries.
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  • Working Paper

    What Do Establishments Do When Wages Increase? Evidence from Minimum Wages in the United States

    November 2019

    Authors: Yuci Chen

    Working Paper Number:

    CES-19-31

    I investigate how establishments adjust their production plans on various margins when wage rates increase. Exploiting state-by-year variation in minimum wage, I analyze U.S. manufacturing plants' responses over a 23-year period. Using instrumental variable method and Census Microdata, I find that when the hourly wage of production workers increases by one percent, manufacturing plants reduce the total hours worked by production workers by 0.7 percent and increase capital expenditures on machinery and equipment by 2.7 percent. The reduction in total hours worked by production workers is driven by intensive-margin changes. The estimated elasticity of substitution between capital and labor is 0.85. Following the wage increases, no statistically significant changes emerge in revenue, materials or total factor productivity. Additionally, I nd that when wage rates increase, establishments are more likely to exit the market. Finally, I provide evidence that when the minimum wage increases the wages of some of the establishments in a firm, the firm also increases the wages for its other establishments.
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