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Papers Containing Keywords(s): 'firm data'

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  • Working Paper

    Matching Compustat Data to the Longitudinal Business Database, 1976-2020

    September 2025

    Working Paper Number:

    CES-25-65

    This paper details the methodology for creating an updated Compustat-Longitudinal Business Database (LBD) bridge, facilitating linkage between company identifiers in Compustat and firm identifiers in the LBD. In addition to data from Compustat, we incorporate historical data on public companies from various public and private sources, including information on executive names. Our methodology involves a series of stages using fuzzy name and address matching, including EIN, telephone number, and industry code matching. Qualified researchers with approved proposals can access this bridge though the Federal Statistical Research Data Centers. The Compustat-SSL bridge serves as a crucial resource for longitudinal studies on U.S. businesses, corporate governance, and executive compensation.
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  • Working Paper

    FIRM AGE AND SIZE IN THE LONGITUDINAL EMPLOYER-HOUSEHOLD DYNAMICS DATA

    March 2014

    Working Paper Number:

    CES-14-16

    The Census Bureau's Quarterly Workforce Dynamics (QWI) and OnTheMap now provide detailed workforce statistics by employer age and size. These data allow a first look at the demographics of workers at small and young businesses as well as detailed analysis of how hiring, turnover, job creation/destruction vary throughout a firm's lifespan. Both the QWI and OnTheMap are tabulated from the Longitudinal Employer-Household Dynamics (LEHD) linked employer-employee data. Firm age and size information was added to the LEHD data through integration of Business Dynamics Statistics (BDS) microdata into the LEHD jobs frame. This paper describes how these two new firm characteristics were added to the microdata and how they are tabulated in QWI and OnTheMap
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  • Working Paper

    Firm Market Power and the Earnings Distribution

    December 2011

    Authors: Douglas Webber

    Working Paper Number:

    CES-11-41

    Using the Longitudinal Employer Household Dynamics (LEHD) data from the United States Census Bureau, I compute firm-level measures of labor market (monopsony) power. To generate these measures, I extend the dynamic model proposed by Manning (2003) and estimate the labor supply elasticity facing each private non-farm firm in the US. While a link between monopsony power and earnings has traditionally been assumed, I provide the first direct evidence of the positive relationship between a firm\'s labor supply elasticity and the earnings of its workers. I also contrast the semistructural method with the more traditional use of concentration ratios to measure a firm\'s labor market power. In addition, I provide several alternative measures of labor market power which account for potential threats to identification such as endogenous mobility. Finally, I construct a counterfactual earnings distribution which allows the effects of firm market power to vary across the earnings distribution. I estimate the average firm\'s labor supply elasticity to be 1.08, however my findings suggest there to be significant variability in the distribution of firm market power across US firms, and that dynamic monopsony models are superior to the use of concentration ratios in evaluating a firm\'s labor market power. I find that a one-unit increase in the labor supply elasticity to the firm is associated with wage gains of between 5 and 18 percent. While nontrivial, these estimates imply that firms do not fully exercise their labor market power over their workers. Furthermore, I find that the negative earnings impact of a firm\'s market power is strongest in the lower half of the earnings distribution, and that a one standard deviation increase in firms\' labor supply elasticities reduces the variance of the earnings distribution by 9 percent.
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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

    MEASURES OF JOB FLOW DYNAMICS IN THE U.S.*

    January 1999

    Working Paper Number:

    CES-99-01

    This paper uses the new Longitudinal Establishment and Enterprise Microdata (LEEM) at CES to investigate gross and net job flows for the U. S. economy. Much of the previous work on U.S. job flows has been based on analysis of the Longitudinal Research Database (LRD), which is limited to establishments in the manufacturing sector. The LEEM is the first high-quality, nationwide, comprehensive database for both manufacturing and non-manufacturing that is suitable for measuring annual job flows. We utilize the LEEM data to measure recent gross and net job flows for the entire U. S. economy. We then examine the relationships between firm size, establishment size, and establishment age, and investigate differences resulting from use of two alternative methods for classification of job flows by size of firm and establishment. Cell-based regression analysis is used to help distinguish among the effects of age, firm size, and establishment size on gross and net job flows in existing establishments. We find that gross job flow rates decline with age, and with increasing establishment size when controlling for age differences, whether initial size or mean size classification is utilized. Firm size differences contribute little or nothing additional when establishment size and age are controlled for. However, the relationship of net job growth to business size is very sensitive to the size classification method, even when data and all other methodology are identical. When mean size classification is used, the coefficient on establishment size for net job growth is generally positive, but when initial size is used, this coefficient is negative. These results shed light on some of the apparently conflicting findings in the literature on the relationship between net growth and the size of businesses.
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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 Impact Of Ownership Change On Employment, Wages, And Labor Productivity In U.S. Manufacturing 1977-87

    April 1995

    Working Paper Number:

    CES-95-08

    This paper reports on the impact of ownership change on productivity, wages, and employment in U.S. food manufacturing for the period 1977-87. Our analysis is based on both firm and plant level data taken from the U. S. Census Bureau's Longitudinal Research Database (LRD). Three principal results emerge from the analysis. First, ownership change is positively associated with productivity and wage growth, although the effects are significantly smaller for large plants. Second, ownership change appears to be associated with increases, not decreases, in employment at operating plants. Third, plants changing ownership show a greater likelihood of survival than those that do not change owners. These findings run counter to the notion that mergers and acquisitions cut wages and reduce employment. Finally, neither of the first two results are observed when firm level data are used for the analysis. This suggests that firm level data hide important dynamic activities within the firm. Thus, plant level data are necessary for studying the structure and performance of firms over time.
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  • Working Paper

    A Guide To R&D Data At The Center For Economic Studies U.S. Bureau Of THe Census

    August 1994

    Working Paper Number:

    CES-94-09

    The National Science Foundation R&D Survey is an annual survey of firms' research and development expenditures. The survey covers 3000 firms reporting positive R&D. This paper provides a description of the R&D data available at the Center for Economic Studies (CES). The most basic data series available contains the original survey R&D data. It covers the years 1972-92. The remaining two series, although derived from the original files, specialize in particular items. The Mandatory Series contains required survey items for the years 1973-88. Items reported at firms' discretion are in the Voluntary Series, which covers the years 1974-89. Both of the derived series incorporate flags that track quality of the data. Both also include corrections to the data based on original hard copy survey evidence stored at CES. In addition to describing each dataset, we offer suggestions to researchers wishing to use the R&D data in exploring various economic issues. We report selected response rates, discuss the survey design, and provide hints on how to use the data.
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  • Working Paper

    The Importance of Establishment Data in Economic Research

    August 1993

    Working Paper Number:

    CES-93-10

    The importance and usefulness of establishment microdata for economic research and policy analysis is outlined and contrasted with traditional products of statistical agencies -- aggregate cross-section tabulations. It is argued that statistical agencies must begin to seriously rethink the way they view establishment data products.
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