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Papers Containing Tag(s): 'Bureau of Labor Statistics'

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Longitudinal Business Database - 138

Center for Economic Studies - 135

North American Industry Classification System - 131

Current Population Survey - 116

Longitudinal Employer Household Dynamics - 100

Bureau of Economic Analysis - 100

Internal Revenue Service - 96

National Science Foundation - 96

Standard Industrial Classification - 94

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Annual Survey of Manufactures - 79

Ordinary Least Squares - 70

National Bureau of Economic Research - 70

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National Income and Product Accounts - 14

Quarterly Journal of Economics - 14

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IQR - 13

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American Economic Association - 13

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Journal of Economic Literature - 13

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Standard Occupational Classification - 12

Office of Personnel Management - 12

National Longitudinal Survey of Youth - 12

Company Organization Survey - 12

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Bureau of Labor - 12

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Composite Person Record - 9

Department of Agriculture - 9

Successor Predecessor File - 9

AKM - 9

Journal of Political Economy - 9

Council of Economic Advisers - 9

Wholesale Trade - 9

Sloan Foundation - 9

Detailed Earnings Records - 9

Customs and Border Protection - 9

Information and Communication Technology Survey - 9

BLS Handbook of Methods - 9

Agency for Healthcare Research and Quality - 9

Employer-Household Dynamics - 8

Herfindahl-Hirschman - 8

Census of Retail Trade - 8

Annual Business Survey - 8

Integrated Longitudinal Business Database - 8

Accommodation and Food Services - 8

United States Census Bureau - 8

Ohio State University - 8

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General Accounting Office - 8

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Michigan Institute for Data Science - 8

Federal Tax Information - 8

Retirement History Survey - 8

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North American Industry Classi - 8

Journal of Economic Perspectives - 8

Census Bureau Business Dynamics Statistics - 8

Statistics Canada - 8

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Medical Expenditure Panel Survey - 8

Harvard University - 8

Administrative Records - 8

American Statistical Association - 8

Social and Economic Supplement - 7

National Institutes of Health - 7

Consumer Expenditure Survey - 7

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National Academy of Sciences - 7

Yale University - 7

United Nations - 7

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MIT Press - 7

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Cumulative Density Function - 6

Department of Education - 6

Stanford University - 6

Earned Income Tax Credit - 6

Federal Trade Commission - 6

Department of Justice - 6

Management and Organizational Practices Survey - 6

Business Research and Development and Innovation Survey - 6

National Center for Science and Engineering Statistics - 6

Integrated Public Use Microdata Series - 6

Census Numident - 6

Ewing Marion Kauffman Foundation - 6

Annual Survey of Entrepreneurs - 6

Review of Economic Studies - 6

Center for Research in Security Prices - 6

Department of Housing and Urban Development - 6

Census of Services - 6

Business Formation Statistics - 6

Census 2000 - 6

Kauffman Firm Survey - 6

Department of Energy - 5

Oil and Gas Extraction - 5

Nonemployer Statistics - 5

Supplemental Nutrition Assistance Program - 5

Health and Retirement Study - 5

Educational Services - 5

University of Toronto - 5

International Trade Commission - 5

Russell Sage Foundation - 5

2SLS - 5

Disability Insurance - 5

Personally Identifiable Information - 5

Federal Reserve Bank of Chicago - 5

TFPR - 5

Indian Health Service - 5

Public Administration - 5

Initial Public Offering - 5

George Mason University - 5

Stern School of Business - 5

Georgetown University - 5

World Bank - 5

Fabricated Metal Products - 5

Centers for Disease Control and Prevention - 4

Survey of Consumer Finances - 4

Arts, Entertainment - 4

IZA - 4

Heckscher-Ohlin - 4

Data Management System - 4

Person Identification Validation System - 4

Paycheck Protection Program - 4

Princeton University - 4

European Commission - 4

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ASEC - 4

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1940 Census - 4

Journal of Human Resources - 4

National Health Interview Survey - 4

Linear Probability Models - 4

Temporary Assistance for Needy Families - 4

Department of Defense - 4

Public Use Micro Sample - 4

State Energy Data System - 4

Wal-Mart - 4

Federal Insurance Contribution Act - 4

Commodity Flow Survey - 4

Journal of International Economics - 4

International Standard Industrial Classification - 4

Securities Data Company - 4

Penn State University - 4

Pollution Abatement Costs and Expenditures - 4

National Research Council - 4

Consolidated Metropolitan Statistical Areas - 4

Legal Form of Organization - 3

MAF-ARF - 3

Minnesota Population Center - 3

Adjusted Gross Income - 3

MTO - 3

Citizenship and Immigration Services - 3

New England County Metropolitan - 3

Computer Assisted Personal Interview - 3

SSA Numident - 3

Current Population Survey Annual Social and Economic Supplement - 3

Manufacturing Energy Consumption Survey - 3

European Union - 3

Pew Research Center - 3

PIKed - 3

Federal Government - 3

CAAA - 3

Health Care and Social Assistance - 3

HHS - 3

Value Added - 3

Research and Development - 3

Princeton University Press - 3

Probability Density Function - 3

IBM - 3

Census Bureau Master Address File - 3

Summary Earnings Records - 3

Duke University - 3

Society of Labor Economists - 3

Social Security Disability Insurance - 3

Journal of Econometrics - 3

Insurance Information Institute - 3

Sample Edited Detail File - 3

Supreme Court - 3

Boston Research Data Center - 3

Electronic Data Interchange - 3

Chicago RDC - 3

E32 - 3

WECD - 3

Cambridge University Press - 3

employed - 99

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labor - 97

workforce - 91

recession - 79

payroll - 71

employee - 67

manufacturing - 62

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production - 58

sector - 56

industrial - 55

macroeconomic - 54

survey - 51

market - 50

sale - 49

quarterly - 48

expenditure - 44

enterprise - 44

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entrepreneurship - 38

worker - 37

estimating - 37

agency - 35

labor statistics - 34

gdp - 34

endogeneity - 34

economically - 32

report - 32

statistical - 31

job - 30

entrepreneur - 30

employment growth - 30

occupation - 28

respondent - 28

census employment - 28

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unemployed - 27

efficiency - 26

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salary - 26

trend - 25

census bureau - 25

employment data - 25

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employment statistics - 24

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produce - 24

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company - 23

establishment - 23

industry productivity - 22

data - 22

microdata - 21

proprietor - 20

productive - 20

employment dynamics - 20

economic census - 20

earn - 19

data census - 19

census data - 19

export - 19

acquisition - 19

innovation - 19

hire - 19

organizational - 19

estimates employment - 19

workplace - 19

unemployment rates - 18

finance - 18

profit - 18

financial - 18

regress - 17

proprietorship - 17

incentive - 17

research census - 17

corporation - 17

spillover - 16

growth productivity - 16

metropolitan - 16

regression - 16

work census - 15

employment estimates - 15

labor productivity - 15

manufacturer - 15

shift - 14

population - 14

welfare - 14

employment unemployment - 14

employee data - 14

profitability - 14

technological - 14

insurance - 14

housing - 14

residential - 14

state - 14

accounting - 14

tenure - 14

relocation - 13

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inventory - 13

productivity dispersion - 13

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import - 13

monopolistic - 13

depreciation - 13

leverage - 13

econometrician - 13

employment count - 13

socioeconomic - 12

retailer - 12

wholesale - 12

retail - 12

filing - 12

irs - 12

enrollment - 12

poverty - 12

resident - 12

price - 12

firms productivity - 12

heterogeneity - 12

specialization - 12

productivity dynamics - 12

multinational - 12

startup - 12

venture - 12

clerical - 12

employing - 12

turnover - 12

aggregation - 12

rates employment - 11

bias - 11

discrimination - 11

information census - 11

hispanic - 11

employer household - 11

regional - 11

decline - 11

statistician - 11

declining - 11

merger - 11

minority - 10

disadvantaged - 10

labor markets - 10

consumption - 10

residence - 10

tariff - 10

disclosure - 10

financing - 10

corporate - 10

federal - 10

cost - 10

average - 10

outsourcing - 10

regressing - 10

coverage - 10

datasets - 10

regulation - 10

employment flows - 9

migration - 9

relocate - 9

commerce - 9

incorporated - 9

state employment - 9

compensation - 9

censuses surveys - 9

2010 census - 9

rural - 9

debt - 9

neighborhood - 9

investor - 9

equity - 9

factor productivity - 9

younger firms - 9

immigrant - 9

longitudinal employer - 9

employment trends - 9

commodity - 9

competitor - 9

productivity measures - 9

aggregate productivity - 9

reallocation productivity - 9

analysis - 9

indicator - 9

workforce indicators - 9

exporter - 9

business data - 9

founder - 9

endogenous - 9

decade - 9

aging - 9

researcher - 9

region - 9

dispersion productivity - 8

sector productivity - 8

prevalence - 8

consumer - 8

loan - 8

patent - 8

prospect - 8

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relocating - 8

woman - 8

geographically - 8

shock - 8

bankruptcy - 8

product - 8

sourcing - 8

productivity increases - 8

trends employment - 8

buyer - 8

yearly - 8

measures employment - 8

mobility - 8

trends labor - 8

wages productivity - 8

ownership - 8

retirement - 8

area - 8

exogeneity - 7

measures productivity - 7

effects employment - 7

unemployment insurance - 7

benefit - 7

union - 7

agriculture - 7

inflation - 7

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census survey - 7

technology - 7

productivity estimates - 7

stock - 7

wage growth - 7

firms employment - 7

firms young - 7

warehousing - 7

wealth - 7

home - 7

firms census - 7

estimator - 7

use census - 7

tax - 7

employment earnings - 7

forecast - 7

department - 7

record - 7

policy - 7

worker demographics - 7

classified - 7

classification - 7

subsidiary - 7

externality - 7

businesses census - 7

census years - 7

surveys censuses - 7

rent - 7

census business - 7

employment measures - 7

opportunity - 7

census research - 7

factory - 7

empirical - 7

grocery - 6

productivity variation - 6

good - 6

lender - 6

racial - 6

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job growth - 6

outsourced - 6

gender - 6

pricing - 6

firms grow - 6

industry growth - 6

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autoregressive - 6

rate - 6

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utilization - 6

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analysis productivity - 6

employment recession - 6

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Viewing papers 311 through 320 of 340


  • Working Paper

    NEW EVIDENCE ON SEX SEGREGATION AND SEX DIFFERENCES IN WAGES FROM MATCHED EMPLOYEE-EMPLOYER DATA*

    December 1998

    Working Paper Number:

    CES-98-18

    We assemble a new matched employer-employee data set covering essentially all industries and occupations across all regions of the U.S. We use this data set to re-examine the question of the relative contributions to the overall sex gap in wages of sex segregation vs. wage differences by sex within occupation, industry, establishment, and occupation-establishment cells. This new data set is especially useful because earlier research on this topic relied on data sets that covered only a narrow range of industries, occupations, or regions. Our results indicate that a sizable fraction of the sex gap in wages is accounted for by the segregation of women into lower-paying occupations, industries, establishments, and occupations within establishments. Nonetheless, a substantial part of the sex gap in wages remains attributable to the individual's sex. This latter finding contrasts sharply with the conclusions of previous research (especially Groshen, 1991), which indicated that sex segregation accounted for essentially all of the sex wage gap. Further research into the sources of within-establishment within-occupation sex wage differences is therefore much more important than previously thought.
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  • Working Paper

    THE MANUFACTURING PLANT OWNERSHIP CHANGE DATABASE: ITS CONSTRUCTION AND USEFULNESS

    September 1998

    Authors: Sang V Nguyen

    Working Paper Number:

    CES-98-16

    The Center for Economic Studies, U. S. Bureau of the Census, has constructed the "Manufacturing Plant Ownership Change Database" (OCD)using plant-level data taken from the Census Bureau's Longitudinal Research Database (LRD). The OCD contains data on all manufacturing establishments that have experienced ownership change at least once during the period 1963-1992 . This is a unique data set which, together with the LRD, can be used to conduct a variety of economic studies that were not possible before. This paper describes how the OCD was constructed and discusses the usefulness of these data for economic research.
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  • Working Paper

    Aggregate Productivity Growth: Lessons From Microeconomic Evidence

    September 1998

    Working Paper Number:

    CES-98-12

    In this study we focus on the role of the reallocation of activity across individual producers for aggregate productivity growth. A growing body of empirical analysis yields striking patterns in the behavior of establishment-level reallocation and productivity. Nevertheless, a review of existing studies yields a wide range of findings regarding the contribution of reallocation to aggregate productivity growth. Through our review of existing studies and our own sensitivity analysis, we find that reallocation plays a significant role in the changes in productivity growth at the industry level and that the impact of net entry is disproportionate since entering plants tend to displace less productive exiting plants, even after controlling for overall average growth in productivity. However, an important conclusion of our sensitivity analysis is that the quantitative contribution of reallocation to the aggregate change in productivity is sensitive to the decomposition methodology employed. Our findings also confirm and extend others in the literature that indicate that both learning and selection effects are important in this context. A novel aspect of our analysis is that we have examined the role of reallocation for aggregate productivity growth to a selected set of service sector industries. Our analysis considers the 4-digit industries that form the 3-digit industry automobile repair shops. We found tremendous churning in this industry with extremely large rates of entry and exit. Moreover, we found that productivity growth in the industry is dominated establishment data at Census, the results are quite striking and clearly call for further analysis.
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  • Working Paper

    Job Reallocation And The Business Cycle: New Facts An Old Debate

    September 1998

    Working Paper Number:

    CES-98-11

    This paper provides new facts on the nature of job reallocation over the business cycle, and addresses the question of whether reallocation causes recessions or recessions cause reallocation. Although we do not resolve the question of causality, two general findings emerge that advance our understanding of job reallocation and business cycles. First, much of the cyclical fluctuation in gross job flows occurs in larger plants with relatively moderate employment growth that tends to be transitory, especially at medium-term horizons (up to five years). Unusually large employment growth rates, especially plant startups and shutdowns, are primarily small-plant phenomena and tend to be permanent, less cyclical, and occur later in recessions. Further, high job flow rates occur primarily in plants previously experiencing sharp employment contractions or expansions. Second, key variables that should determine the allocation factors of production across plants and sectors do in fact appear to be related to gross job flows, particularly job destruction. Relative prices, productivity, and investment exhibit time series correlations with job reallocation that suggest that allocative driving forces may contribute significantly to business cycle fluctuations.
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  • Working Paper

    Longitudinal Establishment And Enterprise Microdata (LEEM) Documentation

    May 1998

    Working Paper Number:

    CES-98-09

    This paper introduces and documents the new Longitudinal Enterprise and Establishment Microdata (LEEM) database, which has been constructed by Census' Economic Planning and Coordination Division under contract to the Office of Advocacy of the U.S. Small Business Administration. The LEEM links three years (1990, 1994, and 1995) of basic data for each private sector establishment with payroll in any of those years, along with data on the firm to which the establishment belongs each year. The LEEM data will facilitate both broader and more detailed analysis of patterns of job creation and destruction in the U.S., as well as research on the structure and dynamics of U.S. businesses. This paper provides documentation of the construction of LEEM data, summary data on most variables in the database, comparisons of the annual data with that of the nearly identical County Business Patterns, and distributions of establishments and their employment by the size of their firms. This is followed by a simple analysis of changes over time in the attributes of surviving establishments, and a brief discussion of turnover (business births and deaths) in the population and gross changes in employment associated with both establishment turnover and with surviving establishments. It concludes with a summary of the strengths and weaknesses of the LEEM.
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  • Working Paper

    The Contribution Of Establishment Births And Deaths To Employment Growth

    April 1998

    Working Paper Number:

    CES-98-05

    The purpose of this paper is to examine how establishment births and deaths contribute to job creation, job destruction, and net employment growth at different frequencies of measurement. The longitudinal data are constructed from quarterly unemployment insurance microdata, and are essentially a census of establishments in all industries. Defining establishment births and deaths turns out to be an exercise in how to use cross-sectional administrative data for longitudinal research purposes. The analysis of job flows indicates that the frame is relatively small but certainly non-trivial, whereas births and deaths account for roughly half of all jobs created and destroyed on a triennial time frame. Net Employment Growth
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  • Working Paper

    Productivity Adjustments and Learning-by-Doing as Human Capital

    November 1997

    Authors: Jim Bessen

    Working Paper Number:

    CES-97-17

    This paper measures plant-level productivity gains associated with learning curves across the entire manufacturing sector. We measure these gains at plant startups and also after major employment changes. We find: 1.) The gains are strongly associated with a variety of human capital measures implying that learning-by-doing is largely a firm-specific human capital investment. 2.) This implicit investment is large; many plants invest as much in learning-by-doing as they invest in physical capital and much more than they invest in formal job training. 3.) This investment differs persistently over industries and is higher with greater R&D. 4.) Consistent with a learning-by-doing interpretation, the human capital investment is much larger following employment decreases than increases. We conclude that learning-by-doing is a major factor in wage determination, technical progress and asymmetric employment adjustment costs.
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  • Working Paper

    The Structure of Firm R&D and the Factor Intensity of Production

    October 1997

    Authors: James D Adams

    Working Paper Number:

    CES-97-15

    This paper studies the influence of the structure of firm R&D, industry R&D spillovers, and plant level physical capital on the factor intensity of production. By the structure of firm R&D we mean its distribution across states and products. By factor intensity we mean the cost shares of variable factors, which in this paper are blue collar labor, white collar labor, and materials. We characterize the effect of the structure of firm R&D on factor intensity using a Translog cost function with quasi-fixed factors. This cost function gives rise to a system of variable cost shares that depends on factor prices, firm and industry R&D, and physical capital.
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  • Working Paper

    Counting The Self-Employed From Two Perspectives: Household Vs. Business Sample Data

    August 1995

    Working Paper Number:

    CES-95-11

    This study compares the number and attributes of self-employed workers using the Characteristics of Business Owners and Current Population Survey data series. Both sources of data have been widely used in empirical studies of entrepreneurship/self-employment. Substantial and inexplicable differences were found in the two data series' estimates of the number of self-employed men and women for both reference years. In terms of individual attributes, the CBO and CPS appear to report reasonably similar profiles of self-employed individuals in terms of marital status and geographic location, and similar systematic gender differences in the industrial distributions of these individuals. However, in terms of other attributes captured by both data series, including age, the two series exhibit notable dissimilarities.
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  • Working Paper

    Capital Structure and Product Market Behavior: An Examination of Plant Exit and Investment Decisions

    March 1995

    Working Paper Number:

    CES-95-04

    This paper examines whether capital structure decisions interact with product market characteristics to influence plant closing and investment decisions. The empirical evidence in this paper shows that a firm's capital structure, plant level efficiency, and industry capacity utilization are significant determinants of plant (dis)investment decisions. We find that the effects of high leverage on investment and plant closing are significant when the industry is highly concentrated. Following their recapitalizations, firms in industries with high concentration are more likely to close plants and less likely to invest. In addition, we find that rival firms are less likely to close plants and more likely to invest when the market share of leveraged firms is higher.
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