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Papers Containing Tag(s): 'Annual Business Survey'

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Frequently Occurring Concepts within this Search

Census Bureau Disclosure Review Board - 22

North American Industry Classification System - 20

Longitudinal Business Database - 16

Employer Identification Numbers - 12

Federal Statistical Research Data Center - 11

National Center for Science and Engineering Statistics - 11

Bureau of Labor Statistics - 9

National Science Foundation - 8

Economic Census - 8

Disclosure Review Board - 8

Internal Revenue Service - 7

Survey of Business Owners - 7

Center for Economic Studies - 7

Census Bureau Business Register - 7

Business Dynamics Statistics - 7

Accommodation and Food Services - 7

American Community Survey - 6

Office of Management and Budget - 6

Current Population Survey - 6

Annual Survey of Entrepreneurs - 6

Small Business Administration - 5

Technical Services - 5

Arts, Entertainment - 5

Total Factor Productivity - 5

Business R&D and Innovation Survey - 5

Business Register - 5

Bureau of Economic Analysis - 5

Economic Research Service - 4

Ordinary Least Squares - 4

Annual Survey of Manufactures - 4

Business Formation Statistics - 4

Patent and Trademark Office - 4

Metropolitan Statistical Area - 4

2010 Census - 3

University of Maryland - 3

Federal Reserve Bank - 3

Linear Probability Models - 3

Professional Services - 3

IQR - 3

Department of Labor - 3

Quarterly Census of Employment and Wages - 3

Census Bureau Business Dynamics Statistics - 3

Characteristics of Business Owners - 3

Financial, Insurance and Real Estate Industries - 3

Management and Organizational Practices Survey - 3

National Employer Survey - 3

Nonemployer Statistics - 3

Legal Form of Organization - 3

Paycheck Protection Program - 3

Business Research and Development and Innovation Survey - 3

Retail Trade - 3

Viewing papers 21 through 25 of 25


  • Working Paper

    Advanced Technologies Adoption and Use by U.S. Firms: Evidence from the Annual Business Survey

    December 2020

    Working Paper Number:

    CES-20-40

    We introduce a new survey module intended to complement and expand research on the causes and consequences of advanced technology adoption. The 2018 Annual Business Survey (ABS), conducted by the Census Bureau in partnership with the National Center for Science and Engineering Statistics (NCSES), provides comprehensive and timely information on the diffusion among U.S. firms of advanced technologies including artificial intelligence (AI), cloud computing, robotics, and the digitization of business information. The 2018 ABS is a large, nationally representative sample of over 850,000 firms covering all private, nonfarm sectors of the economy. We describe the motivation for and development of the technology module in the ABS, as well as provide a first look at technology adoption and use patterns across firms and sectors. We find that digitization is quite widespread, as is some use of cloud computing. In contrast, advanced technology adoption is rare and generally skewed towards larger and older firms. Adoption patterns are consistent with a hierarchy of increasing technological sophistication, in which most firms that adopt AI or other advanced business technologies also use the other, more widely diffused technologies. Finally, while few firms are at the technology frontier, they tend to be large so technology exposure of the average worker is significantly higher. This new data will be available to qualified researchers on approved projects in the Federal Statistical Research Data Center network.
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  • Working Paper

    Measuring the Effect of COVID-19 on U.S. Small Businesses: The Small Business Pulse Survey

    May 2020

    Working Paper Number:

    CES-20-16

    In response to the novel coronavirus (COVID-19) pandemic, the Census Bureau developed and fielded an entirely new survey intended to measure the effect on small businesses. The Small Business Pulse Survey (SBPS) will run weekly from April 26 to June 27, 2020. Results from the SBPS will be published weekly through a visualization tool with downloadable data. We describe the motivation for SBPS, summarize how the content for the survey was developed, and discuss some of the initial results from the survey. We also describe future plans for the SBPS collections and for our research using the SBPS data. Estimates from the first week of the SBPS indicate large to moderate negative effects of COVID-19 on small businesses, and yet the majority expect to return to usual level of operations within the next six months. Reflecting the Census Bureau's commitment to scientific inquiry and transparency, the micro data from the SBPS will be available to qualified researchers on approved projects in the Federal Statistical Research Data Center network.
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  • Working Paper

    Nonemployer Statistics by Demographics (NES-D): Using Administrative and Census Records Data in Business Statistics

    January 2019

    Working Paper Number:

    CES-19-01

    The quinquennial Survey of Business Owners or SBO provided the only comprehensive source of information in the United States on employer and nonemployer businesses by the sex, race, ethnicity and veteran status of the business owners. The annual Nonemployer Statistics series (NES) provides establishment counts and receipts for nonemployers but contains no demographic information on the business owners. With the transition of the employer component of the SBO to the Annual Business Survey, the Nonemployer Statistics by Demographics series or NES-D represents the continuation of demographics estimates for nonemployer businesses. NES-D will leverage existing administrative and census records to assign demographic characteristics to the universe of approximately 24 million nonemployer businesses (as of 2015). Demographic characteristics include key demographics measured by the SBO (sex, race, Hispanic origin and veteran status) as well as other demographics (age, place of birth and citizenship status) collected but not imputed by the SBO if missing. A spectrum of administrative and census data sources will provide the nonemployer universe and demographics information. Specifically, the nonemployer universe originates in the Business Register; the Census Numident will provide sex, age, place of birth and citizenship status; race and Hispanic origin information will be obtained from multiple years of the decennial census and the American Community Survey; and the Department of Veteran Affairs will provide administrative records data on veteran status. The use of blended data in this manner will make possible the production of NES-D, an annual series that will become the only source of detailed and comprehensive statistics on the scope, nature and activities of U.S. businesses with no paid employment by the demographic characteristics of the business owner. Using the 2015 vintage of nonemployers, initial results indicate that demographic information is available for the overwhelming majority of the universe of nonemployers. For instance, information on sex, age, place of birth and citizenship status is available for over 95 percent of the 24 million nonemployers while race and Hispanic origin are available for about 90 percent of them. These results exclude owners of C-corporations, which represent only 2 percent of nonemployer firms. Among other things, future work will entail imputation of missing demographics information (including that of C-corporations), testing the longitudinal consistency of the estimates, and expanding the set of characteristics beyond the demographics mentioned above. Without added respondent burden and at lower imputation rates and costs, NES-D will meet the needs of stakeholders as well as the economy as a whole by providing reliable estimates at a higher frequency (annual vs. every 5 years) and with a more timely dissemination schedule than the SBO.
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  • Working Paper

    A Portrait of U.S. Factoryless Goods Producers

    October 2018

    Authors: Fariha Kamal

    Working Paper Number:

    CES-18-43

    This paper evaluates the U.S. Census Bureau's most recent data collection efforts to classify business entities that engage in an extreme form of production fragmentation called 'factoryless' goods production. 'Factoryless' goods-producing entities outsource physical transformation activities while retaining ownership of the intellectual property and control of sales to customers. Responses to a special inquiry on the incidence of purchases of contract manufacturing services in combination with data on production inputs and outputs, intellectual property, and international trade is used to identify and document characteristics of 'factoryless' firms in the U.S. economy.
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  • Working Paper

    Innovation, Productivity Dispersion, and Productivity Growth

    February 2018

    Working Paper Number:

    CES-18-08

    We examine whether underlying industry innovation dynamics are an important driver of the large dispersion in productivity across firms within narrowly defined sectors. Our hypothesis is that periods of rapid innovation are accompanied by high rates of entry, significant experimentation and, in turn, a high degree of productivity dispersion. Following this experimentation phase, successful innovators and adopters grow while unsuccessful innovators contract and exit yielding productivity growth. We examine the dynamic relationship between entry, productivity dispersion, and productivity growth using a new comprehensive firm-level dataset for the U.S. We find a surge of entry within an industry yields an immediate increase in productivity dispersion and a lagged increase in productivity growth. These patterns are more pronounced for the High Tech sector where we expect there to be more innovative activities. These patterns change over time suggesting other forces are at work during the post-2000 slowdown in aggregate productivity.
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