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Papers Containing Keywords(s): 'quarterly'

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Bureau of Labor Statistics - 51

Center for Economic Studies - 39

Longitudinal Employer Household Dynamics - 39

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North American Industry Classification System - 34

Employer Identification Numbers - 32

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National Science Foundation - 28

Annual Survey of Manufactures - 27

Standard Industrial Classification - 26

Current Population Survey - 23

Census of Manufactures - 23

National Bureau of Economic Research - 22

Alfred P Sloan Foundation - 21

Census Bureau Disclosure Review Board - 20

Census Bureau Business Register - 18

Longitudinal Research Database - 18

Bureau of Economic Analysis - 18

Quarterly Workforce Indicators - 18

Economic Census - 17

Quarterly Census of Employment and Wages - 17

Business Dynamics Statistics - 17

Federal Statistical Research Data Center - 17

Social Security Administration - 16

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Federal Reserve Bank - 15

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Survey of Income and Program Participation - 5

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COMPUSTAT - 5

Journal of Economic Literature - 5

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American Economic Review - 3

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Viewing papers 71 through 80 of 95


  • 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.
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  • Working Paper

    Volatility and Dispersion in Business Growth Rates: Publicly Traded Versus Privately Held Firms

    July 2006

    Working Paper Number:

    CES-06-17

    We study the variability of business growth rates in the U.S. private sector from 1976 onwards. To carry out our study, we exploit the recently developed Longitudinal Business Database (LBD), which contains annual observations on employment and payroll for all U.S. businesses. Our central finding is a large secular decline in the cross sectional dispersion of firm growth rates and in the average magnitude of firm level volatility. Measured the same way as in other recent research, the employment-weighted mean volatility of firm growth rates has declined by more than 40% since 1982. This result stands in sharp contrast to previous findings of rising volatility for publicly traded firms in COMPUSTAT data. We confirm the rise in volatility among publicly traded firms using the LBD, but we show that its impact is overwhelmed by declining volatility among privately held firms. This pattern holds in every major industry group. Employment shifts toward older businesses account for 27 percent or more of the volatility decline among privately held firms. Simple cohort effects that capture higher volatility among more recently listed firms account for most of the volatility rise among publicly traded firms.
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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

    The LEHD Infrastructure Files and the Creation of the Quarterly Workforce Indicators

    January 2006

    Working Paper Number:

    tp-2006-01

    The Longitudinal Employer-Household Dynamics (LEHD) Program at the U.S. Census Bureau, with the support of several national research agencies, has built a set of infrastructure files using administrative data provided by state agencies, enhanced with information from other administrative data sources, demographic and economic (business) surveys and censuses. The LEHD Infrastructure Files provide a detailed and comprehensive picture of workers, employers, and their interaction in the U.S. economy. Beginning in 2003 and building on this infrastructure, the Census Bureau has published the Quarterly Workforce Indicators (QWI), a new collection of data series that offers unprecedented detail on the local dynamics of labor markets. Despite the fine detail, confidentiality is maintained due to the application of state-of-the-art confidentiality protection methods. This article describes how the input files are compiled and combined to create the infrastructure files. We describe the multiple imputation methods used to impute in missing data and the statistical matching techniques used to combine and edit data when a direct identifier match requires improvement. Both of these innovations are crucial to the success of the final product. Finally, we pay special attention to the details of the confidentiality protection system used to protect the identity and micro data values of the underlying entities used to form the published estimates. We provide a brief description of public-use and restricted-access data files with pointers to further documentation for researchers interested in using these data.
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  • Working Paper

    Using Census Business Data to Augment the MEPS-IC

    December 2005

    Working Paper Number:

    CES-05-26

    This paper has two aims: first to describe methods, issues, and outcomes involved in matching data from the Insurance Component of the Medical Expenditure Panel Survey (MEPSIC) to other business microdata collected by the U.S. Census Bureau, and second to present some simple results that illustrate the usefulness of such combined data. We present the results of linking the MEPS-IC with data from the 1997 Economic Censuses (EC), but also discuss other possible sources of business data. An issue in any linkage is whether the linked sample remains representative and large enough to be useful. The EC data are attractive because, given the survey's broad coverage and large sample, most of the MEPS-IC sample can be matched to it. We use the combined EC/MEPS-IC data to construct productivity measures that are useful auxiliary data in examining employers' health insurance offering decisions.
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  • Working Paper

    Employer-Provided Benefit Plans, Workforce Composition and Firm Outcomes

    January 2005

    Working Paper Number:

    tp-2005-01

    What do firms gain by offering benefits? Economists have proposed two payoffs: (i) benefits may be a more cost-effective form of compensation than wages for employees facing high marginal tax rates, and (ii) benefits may attract a more stable, skilled workforce. Both should improve firm outcomes, but we have little evidence on this matter. This paper exploits a rich new dataset to examine how firm productivity and survival are related to benefit offering, and finds that benefit-offering firms have higher productivity and higher survival rates. Differences in firm and workforce characteristics explain some but not all of the differences in outcomes.
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  • Working Paper

    The Relation among Human Capital, Productivity and Market Value: Building Up from Micro Evidence

    December 2002

    Working Paper Number:

    tp-2002-14

    This paper investigates and evaluates the direct and indirect contribution of human capital to business productivity and shareholder value. The impact of human capital may occur in two ways: the specific knowledge of workers at businesses may directly increase business performance, or a skilled workforce may also indirectly act as a complement to improved technologies, business models or organizational practices. We use newly created firm-level measures of workforce human capital and productivity to examine links between those measures and the market value of the employing firm. The new human capital measures come from an integrated employer-employee data base under development at the US Census Bureau. We link these data to financial information from Compustat at the firm level, which provides measures of market value and tangible assets. The combination of these two sources permits examination of the link between human capital, productivity, and market value. There is a substantial positive relation between human capital and market value that is primarily related to the unmeasured personal characteristics of the employees, which are captured by the new measures.
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  • Working Paper

    The Sensitivity of Economic Statistics to Coding Errors in Personal Identifiers

    October 2002

    Working Paper Number:

    tp-2002-17

    In this paper, we describe the sensitivity of small-cell flow statistics to coding errors in the identity of the underlying entities. Specifically, we present results based on a comparison of the U.S. Census Bureau's Quarterly Workforce Indicators (QWI) before and after correcting for such errors in SSN-based identifiers in the underlying individual wage records. The correction used involves a novel application of existing statistical matching techniques. It is found that even a very conservative correction procedure has a sizable impact on the statistics. The average bias ranges from 0.25 percent up to 15 percent for flow statistics, and up to 5 percent for payroll aggregates.
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  • Working Paper

    The Creation of the Employment Dynamics Estimates

    July 2002

    Working Paper Number:

    tp-2002-13

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  • Working Paper

    NEW DATA FOR DYNAMIC ANALYSIS: THE LONGITUDINAL ESTABLISHMENT AND ENTERPRISE MICRODATA (LEEM) FILE

    December 1999

    Authors: Alicia Robb

    Working Paper Number:

    CES-99-18

    Until now, research on U.S. business activities over time has been hindered by the lack of accurate and comprehensive longitudinal data. The new Longitudinal Establishment and Enterprise Microdata (LEEM) are tremendously rich data that open up numerous possibilities for dynamic analyses of businesses in the U.S. economy. It is the first nationwide high-quality longitudinal database that covers the majority of employer businesses from all sectors of the economy. Due to the confidential nature of these data, the file is located at the Center for Economic Studies in the U.S. Bureau of the Census. To access the data, researchers must submit an acceptable proposal to CES and become sworn Census researchers. This paper describes the LEEM file, the variables contained on the file, and current uses of the data.
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