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

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Longitudinal Business Database - 240

Center for Economic Studies - 140

Bureau of Labor Statistics - 139

Census Bureau Disclosure Review Board - 138

Standard Industrial Classification - 116

Internal Revenue Service - 110

Ordinary Least Squares - 103

Federal Statistical Research Data Center - 102

Longitudinal Employer Household Dynamics - 101

Employer Identification Numbers - 101

National Science Foundation - 101

Annual Survey of Manufactures - 97

Economic Census - 97

Bureau of Economic Analysis - 92

Business Register - 89

National Bureau of Economic Research - 89

Total Factor Productivity - 78

Census of Manufactures - 74

Disclosure Review Board - 70

American Community Survey - 69

Business Dynamics Statistics - 62

Current Population Survey - 61

Census Bureau Business Register - 60

Census of Manufacturing Firms - 58

Federal Reserve Bank - 57

County Business Patterns - 56

Metropolitan Statistical Area - 52

Chicago Census Research Data Center - 49

Quarterly Census of Employment and Wages - 45

Standard Statistical Establishment List - 42

Census Bureau Longitudinal Business Database - 42

Decennial Census - 38

Social Security Administration - 37

Research Data Center - 37

Alfred P Sloan Foundation - 36

Protected Identification Key - 36

Quarterly Workforce Indicators - 35

University of Chicago - 34

Organization for Economic Cooperation and Development - 31

Special Sworn Status - 31

Longitudinal Firm Trade Transactions Database - 30

Cobb-Douglas - 30

Technical Services - 30

Service Annual Survey - 30

Social Security - 29

Federal Reserve System - 29

Social Security Number - 29

Department of Homeland Security - 27

Herfindahl Hirschman Index - 27

Patent and Trademark Office - 26

Harmonized System - 26

Unemployment Insurance - 26

Retail Trade - 26

Longitudinal Research Database - 26

Wholesale Trade - 25

Accommodation and Food Services - 25

Office of Management and Budget - 24

American Economic Review - 24

Kauffman Foundation - 23

Department of Labor - 22

2010 Census - 22

Core Based Statistical Area - 22

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

Small Business Administration - 20

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

Securities and Exchange Commission - 18

Financial, Insurance and Real Estate Industries - 18

Quarterly Journal of Economics - 17

World Trade Organization - 17

Occupational Employment Statistics - 17

Local Employment Dynamics - 17

Postal Service - 17

NBER Summer Institute - 16

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

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

Board of Governors - 13

University of Michigan - 13

Information and Communication Technology Survey - 13

Journal of Political Economy - 13

COVID-19 - 13

IQR - 13

Herfindahl-Hirschman - 13

Management and Organizational Practices Survey - 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

Educational 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

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

Standard Occupational Classification - 10

Oil and Gas Extraction - 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

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

COVID - 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

Federal Emergency Management Agency - 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 Board of Governors - 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

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

Federal Reserve Bank of Chicago - 4

Boston Research Data Center - 4

PAOC - 4

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

Indian Health Service - 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 - 32

Lucia Foster - 25

Javier Miranda - 21

Ron Jarmin - 17

Lars Vilhuber - 16

Emin Dinlersoz - 14

Nathan Goldschlag - 13

Catherine Buffington - 11

John M. Abowd - 11

Martha Stinson - 10

Fariha Kamal - 10

Cheryl Grim - 10

Peter Schott - 10

Zoltan Wolf - 9

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

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

Robert Seamans - 4

Emek Basker - 4

Cindy Cunningham - 4

Sabrina Wulff Pabilonia - 4

Lawrence Warren - 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

J. Frank Li - 3

Lee Tucker - 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 - 90

employed - 89

manufacturing - 87

market - 87

workforce - 85

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

entrepreneurship - 53

earnings - 53

investment - 52

company - 52

expenditure - 51

export - 51

estimating - 50

economist - 49

entrepreneur - 48

economically - 46

innovation - 44

survey - 43

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

endogeneity - 28

import - 28

entrepreneurial - 27

aggregate - 27

occupation - 27

acquisition - 27

hiring - 26

technological - 26

job - 26

trend - 26

finance - 25

spillover - 24

statistical - 24

monopolistic - 23

workplace - 23

produce - 23

financial - 22

heterogeneity - 22

incorporated - 22

estimation - 22

wholesale - 22

proprietor - 21

earner - 21

census employment - 21

multinational - 21

disclosure - 21

salary - 21

proprietorship - 21

investor - 20

efficiency - 20

employment statistics - 20

inventory - 20

data - 20

incentive - 19

corporation - 19

patenting - 19

census bureau - 19

respondent - 19

accounting - 18

profit - 18

tariff - 18

microdata - 18

corporate - 17

productive - 17

data census - 17

employment data - 17

technology - 16

labor statistics - 16

warehousing - 16

regress - 16

unemployed - 16

specialization - 16

trading - 16

immigrant - 16

productivity growth - 16

metropolitan - 16

hire - 15

irs - 15

longitudinal - 15

commerce - 15

exporting - 15

census data - 15

importer - 15

competitor - 15

innovate - 15

employment dynamics - 15

population - 14

startup - 14

exogeneity - 14

record - 14

retailer - 14

retail - 14

commodity - 14

impact - 14

innovative - 14

leverage - 14

regional - 14

labor productivity - 14

ethnicity - 14

industry productivity - 14

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

researcher - 12

emission - 12

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

funding - 10

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

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

union - 8

average - 8

spending - 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

research - 8

firms trade - 8

firms grow - 8

residential - 8

firms productivity - 8

migrant - 8

supplier - 8

geography - 8

analysis - 8

regional economic - 8

use census - 8

pollution - 8

retirement - 7

census business - 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

study - 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

fund - 6

institutional - 6

earnings employees - 6

career - 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

recession employment - 6

clerical - 6

health insurance - 6

buyer - 6

confidentiality - 6

inference - 6

volatility - 6

estimator - 6

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

disaster - 5

hurricane - 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

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

assessed - 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

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

employment recession - 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

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

graduate - 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

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

restructuring - 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 361 through 370 of 390


  • Working Paper

    Social, Economic, Spatial, and Commuting Patterns of Dual Jobholders

    April 2007

    Working Paper Number:

    tp-2007-01

    Individuals who hold multiple jobs have complex working lives and complex commuting patterns. Economic and spatial information on these individuals is not readily available in standard datasets, such as the 2000 Decennial Census Long Form, because the survey questions were not designed to collect details on multiple jobs. This study takes advantage of firm-based data from the Unemployment Insurance administrative wage records, linked with the Census Bureau's household-based data, to examine multiple jobholders - and specifically a sentinel group of dual jobholders. The study uses a sample from Los Angeles County, California and examines the dual jobholders by their demographic characteristics as well as their economic, commuting, and spatial location outcomes. In addition this report evaluates whether multiple jobholders should be included explicitly in future labor-workforce analyses and transportation modeling.
    View Full Paper PDF
  • Working Paper

    Estimating the Distribution of Plant-Level Manufacturing Energy Efficiency with Stochastic Frontier Regression

    March 2007

    Authors: Gale Boyd

    Working Paper Number:

    CES-07-07

    A feature commonly used to distinguish between parametric/statistical models and engineering models is that engineering models explicitly represent best practice technologies while the parametric/statistical models are typically based on average practice. Measures of energy intensity based on average practice are less useful in the corporate management of energy or for public policy goal setting. In the context of company or plant level energy management, it is more useful to have a measure of energy intensity capable of representing where a company or plant lies within a distribution of performance. In other words, is the performance close (or far) from the industry best practice? This paper presents a parametric/statistical approach that can be used to measure best practice, thereby providing a measure of the difference, or 'efficiency gap' at a plant, company or overall industry level. The approach requires plant level data and applies a stochastic frontier regression analysis to energy use. Stochastic frontier regression analysis separates the energy intensity into three components, systematic effects, inefficiency, and statistical (random) error. The stochastic frontier can be viewed as a sub-vector input distance function. One advantage of this approach is that physical product mix can be included in the distance function, avoiding the problem of aggregating output to define a single energy/output ratio to measure energy intensity. The paper outlines the methods and gives an example of the analysis conducted for a non-public micro-dataset of wet corn refining plants.
    View Full Paper PDF
  • Working Paper

    Gross Job Flows for the U.S. Manufacturing Sector: Measurement from the Longitudinal Research Database

    December 2006

    Working Paper Number:

    CES-06-30

    Measures of job creation and destruction are now produced regularly by the U.S. statistical agencies. The Bureau of Labor Statistics releases via the Business Employment Dynamics (BED) on a quarterly basis measures of job creation and destruction for the U.S. nonfarm business sector and related disaggregation by industrial sector and size class. The U.S. Census Bureau has developed the Longitudinal Business Database (LBD) covering the nonfarm business sector that has been used to produce research analysis and special tabulations including tabulations of job creation and destruction. Both of these data programs build upon the measurement methods and data analysis of job creation and destruction measures from the Longitudinal Research Database (LRD) developed and published by Davis, Haltiwanger and Schuh (1996). In this paper, the LRD based estimates of job creation and destruction are updated and made available for consistent annual and quarterly series from 1972-1998. While the BED and LBD programs are more comprehensive in scope than the LRD, the extensive development of the LRD permits the construction of measures of job creation and destruction for a rich array of employer characteristics including industry, size, business age, ownership structure, location and wage structure. The updated series that are released with this working paper provide measures along each of these dimensions. The paper describes in detail the changes in the processing of the Annual Survey of Manufactures over the 1972-1998 period that are important to incorporate by users of the LRD at Census Research Data Centers as well as users of products from the LRD such as job creation and destruction.
    View Full Paper PDF
  • Working Paper

    Efficiency Implications of Corporate Diversification: Evidence from Micro Data

    November 2006

    Working Paper Number:

    CES-06-26

    In this study, we contribute to the ongoing research on the rationales for corporate diversification. Using plant-level data from the U.S. Census Bureau, we examine whether combining several lines of business in one entity leads to increased productive efficiency. Studying the direct effect of diversification on efficiency allows us to discern between two major theories of corporate diversification: the synergy hypothesis and the agency cost hypothesis. To measure productive efficiency, we employ a non-parametric approach'a test based on Varian's Weak Axiom of Profit Maximization (WAPM). This method has several advantages over other conventional measures of productive efficiency. Most importantly, it allows one to perform the efficiency test without relying on assumptions about the functional form of the underlying production function. To the best of our knowledge, this study is the first application of the WAPM test to a large sample of non-financial firms. The study provides evidence that business segments of diversified firms are more efficient compared to single-segment firms in the same industry. This finding suggests that the existence of the so-called 'diversification discount' cannot be explained by efficiency differences between multi-segment and focused firms. Furthermore, more efficient segments tend to be vertically integrated with others segments in the same firm and to have been added through acquisitions rather than grown internally. Overall, the results of this study indicate that corporate diversification is value-enhancing, and that it is not necessarily driven by managers' pursuit of their private benefits.
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  • Working Paper

    The Impact of Hurricanes Katrina, Rita and Wilma on Business Establishments: A GIS Approach

    August 2006

    Working Paper Number:

    CES-06-23

    We use Geographic Information System tools to develop estimates of the economic impact of disaster events such as Hurricane Katrina. Our methodology relies on mapping establishments from the Census Bureau's Business Register into damage zones defined by remote sensing information provided by FEMA. The identification of damaged establishments by precisely locating them on a map provides a far more accurate characterization of affected businesses than those typically reported from readily available county level data. The need for prompt estimates is critical since they are more valuable the sooner they are released after a catastrophic event. Our methodology is based on pre-storm data. Therefore, estimates can be made available very quickly to inform the public as well as policy makers. Robustness tests using data from after the storms indicate our GIS estimates, while much smaller than those based on publicly available county-level data, still overstate actual observed losses. We discuss ways to refine and augment the GIS approach to provide even more accurate estimates of the impact of disasters on businesses.
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  • Working Paper

    E-Tailing and its Prospects: Great Expectations Reconsidered

    July 2006

    Authors: Jeffrey Mayer

    Working Paper Number:

    CES-06-16

    This paper attributes slower than predicted growth in e-commerce retailing to four factors: consumer resistance; the ability of traditional retailers to become multi-channel sellers; prudent official survey and classification practices; and perhaps the limited range of 'pure-play' business models (i.e., retail models that rely mainly on electronic sales). Based on responses to the Census Bureau's Monthly Retail Trade Survey (MRTS) in the five fourth quarter periods from 2001 to 2005, the paper finds that e-commerce has claimed a small but rapidly growing share of U.S. retailing markets; and that pure play companies are still important drivers of this process. However, it also finds that the capacity of pure-play companies to continue in this role may be nearing its limits, and that the rate of continued growth in e-commerce retailing may depend on the business decisions of large, multi-channel sellers. Qualified researchers can access MRTS-based quarterly e-commerce data for 2001-2005 at the Census Bureau's Regional Data Centers.
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  • Working Paper

    Using the MEPS-IC to Study Retiree Health Insurance

    April 2006

    Authors: Alice Zawacki

    Working Paper Number:

    CES-06-13

    This paper discusses using the restricted-access Medical Expenditure Panel Survey- Insurance Component (MEPS-IC) to study employer-sponsored retiree health insurance (RHI). This topic is particularly interesting given current events such as the aging of baby boomers, rising health care costs, new prescription drug coverage under Medicare, and changes in accounting standards for reporting liabilities related to RHI offerings. Consequently, employers are grappling with an aging workforce, evaluating Medicare subsidies to employers for offering retiree drug plans, facing rising premium costs as a result of rising health care costs, and trying to show profitability on financial reports. This paper provides technical information on using the MEPS-IC to study RHI and points out data issues with some of the measures in the database. Descriptive statistics are provided to illustrate the types of retiree estimates possible using the MEPS-IC and to show some of the trends in this subject area. Not surprising, these estimates show that employer offers of RHI have declined, greater numbers of retirees are enrolling in these plans, and expenditures for employer-sponsored RHI have been rising.
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  • Working Paper

    Impacts of Trade on Wage Inequality in Los Angeles: Analysis Using Matched Employer-Employee Data

    April 2006

    Working Paper Number:

    CES-06-12

    Over the past twenty-five years, earnings inequality has risen dramatically in the US, reversing trends of the preceding half-century. Growing inequality is closely tied to globalization and trade through the arguments of Heckscher-Ohlin. However, with only few exceptions, empirical studies fail to show that trade is the primary determinant of shifts in relative wages. We argue that lack of empirical support for the trade-inequality connection results from the use of poor proxies for worker skill and the failure to control for other worker characteristics and plant characteristics that impact wages. We remedy these problems by developing a matched employer-employee database linking the Decennial Household Census (individual worker records) and the Longitudinal Research Database (individual manufacturing establishment records) for the Los Angeles CMSA in 1990 and 2000. Our results show that trade has a significant impact on wage inequality, pushing down the wages of the less-skilled while allowing more highly skilled workers to benefit from exports. That impact has increased through the 1990s, swamping the influence of skill-biased technical change in 2000. Further, the negative effect of trade on the wages of the less-skilled has moved up the skill distribution over time. This suggests that over the long-run, increasing levels of education may not insulate more skilled workers within developed economies from the impacts of trade.
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  • Working Paper

    Downsizing, Layoffs and Plant Closure: The Impacts of Import Price Pressure and Technological Growth on U.S. Textile Producers

    April 2006

    Authors: Patrick Conway

    Working Paper Number:

    CES-06-10

    Downsizing, layoffs and plant closure are three plant-level responses to adverse economic conditions. I provide a theoretical and empirical analysis that illustrates the sources of each phenomenon and the implications for production and employment in the textiles industry. I consider two potential causes of these phenomena: technological progress and increased import competition. I create a micro-founded model of plant-level decision-making and combine it with conditions for dynamic market equilibrium. Through use of detailed plant-level information available in the US Census of Manufacturers and the Annual Survey of Manufacturers for the period 1982-2001, along with price data on imports, I examine the relative contribution of technology and import competition to the decline in output, employment and number of plants in textiles production in the US in recent years. The market-clearing domestic price of textiles is identified as a crucial channel in transmitting technology or import price shocks to downsizing, layoffs and plant closure. The model is estimated on two 4-digit sectors of textiles production (SIC 2211, broadwoven cotton and SIC 2221, broadwoven man-made fiber). The results validate modeling the production sectors as monopolistically competitive, and the elasticity of substitution between foreign and domestic varieties is found to be quite high. The coefficients on the productive technology are sensible, as are the estimated parameters of the plant exit, entry and investment decision rules. In simulations for the broadwoven cotton industry, the effects of technological progress are shown to have a much larger impact on layoffs than on plant closure, with plant size as measured by output actually increasing. Falling foreign prices lead to greater relative magnitudes of plant closure than of downsizing or layoffs.
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  • Working Paper

    Import Price Pressure on Firm Productivity and Employment: The Case of U.S. Textiles

    March 2006

    Authors: Patrick Conway

    Working Paper Number:

    CES-06-09

    Theoretical research has predicted three different effects of increased import competition on plant-level behavior: reduced domestic production and sales, improving average efficiency of plants, and increased exit of marginal firms. In empirical work, though, such effects are difficult to separate from the impact of exogenous technological progress (or regress). I use detailed plant-level information available in the US Census of Manufacturers and the Annual Survey of Manufacturers for the period 1983-2000 to decompose these effects. I derive the relative contribution of technology and import competition to the increase in productivity and the decline in employment in textiles production in the US in recent years. I then simulate the impact of removal of quota protection on the scale of operation of the average plant and the incentive to plant closure. The methodology employs a number of important innovations in examining the impact of falling import prices on the domestic production of an import-competing good. First, import competition is modeled directly through its impact on the relative prices of monopolistically competitive goods along the lines suggested by Melitz (2000). Second, the effect of technology is incorporated through structural estimation of plant-level production functions in four factors (capital, labor, energy and materials). Solutions to econometric difficulties related to missing capital data and unobserved productivity are incorporated into the estimation technique. The model is estimated for plants with primary product in SIC 2211 (broadwoven cotton cloth). Results validate modeling demand as for differentiated products. Technological coefficients are sensible, with exogenous technological progress playing a large role. In the simulations run, the effects of foreign price competition are orders of magnitude higher than those of technological progress for the period after quotas on imports are removed. The large-scale reduction in employment and output in the US is shown to be a combination of reduced employment and output at plants in continuous operation and of plant closures that exceed new entries.
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