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The Annual Survey of Entrepreneurs: An Introduction

November 2015

Abstract

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  The Annual Survey of Entrepreneurs: An Update
  

  January 2017

  Authors: Lucia Foster, Patrice Norman

  Working Paper Number:

  CES-17-46

  We provide an update on the Annual Survey of Entrepreneurs (ASE), which is a relatively new Census Bureau business survey. About 290,000 employer firms in the private, non-agricultural U.S. economy are in the ASE sample. Its content is relatively constant over collections, allowing for comparability over time; however, each year there are approximately ten new questions in a changing topical module. Earlier topical modules covered innovation (2014) and management practices (2015). The topical module for reference year 2016 covers business advice and planning, finance, and regulations. The ASE is collected through a partnership of the Census Bureau with the Kauffman Foundation and the Minority Business Development Agency. Qualified researchers on approved projects may request access to the ASE micro data through the Federal Statistical Research Data Center (FSRDC) network.
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• Working Paper

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

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  Authors: Lucia Foster, Shawn Klimek, Emin Dinlersoz, Catherine Buffington, Carrie Dennis

  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

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  Measuring U.S. Innovative Activity
  

  March 2007

  Authors: B.K. Atrostic

  Working Paper Number:

  CES-07-11

  Innovation has long been credited as a leading source of economic strength and vitality in the United States because it leads to new goods and services and increases productivity, leading to better living standards. Better measures of innovative activities'activities including but not limited to innovation alone'could improve what we know about the sources of productivity and economic growth. The U.S. Census Bureau either currently collects, or has collected, data on some measures of innovative activities, such as the diffusion of innovations and technologies, human and organizational capital, entrepreneurship and other worker and firm characteristics, and the entry and exit of businesses, that research shows affect productivity and other measures of economic performance. But developing an understanding of how those effects work requires more than just measures of innovative activity. It also requires solid statistical information about core measures of the economy: that is, comprehensive coverage of all industries, including improved measures of output and sales and additional information on inputs and purchased materials at the micro (enterprise) level for the same economic unit over time (so the effects can be measured). Filling gaps in core data would allow us to rule out the possibility that a measure of innovative activity merely proxies for something that is omitted from or measured poorly in the core data, provide more information about innovative activities, and strengthen our ability to evaluate the performance of the entire economy. These gaps can be filled by better integrating existing data and by more structured collections of new data.
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• Working Paper

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  Measuring the Impact of COVID-19 on Businesses and People: Lessons from the Census Bureau's Experience
  

  January 2021

  Authors: Lucia Foster, Catherine Buffington, Jason Fields

  Working Paper Number:

  CES-21-02

  We provide an overview of Census Bureau activities to enhance the consistency, timeliness, and relevance of our data products in response to the COVID-19 pandemic. We highlight new data products designed to provide timely and granular information on the pandemic's impact: the Small Business Pulse Survey, weekly Business Formation Statistics, the Household Pulse Survey, and Community Resilience Estimates. We describe pandemic-related content introduced to existing surveys such as the Annual Business Survey and the Current Population Survey. We discuss adaptations to ensure the continuity and consistency of existing data products such as principal economic indicators and the American Community Survey.
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• Working Paper

  
  
  High Frequency Business Dynamics in the United States During the COVID-19 Pandemic
  

  March 2021

  Authors: John Haltiwanger, Lucia Foster, Emin Dinlersoz, Catherine Buffington, Daniel Chapman

  Working Paper Number:

  CES-21-06

  Existing small businesses experienced very sharp declines in activity, business sentiment, and expectations early in the pandemic. While there has been some recovery since the early days of the pandemic, small businesses continued to exhibit indicators of negative growth, business sentiment, and expectations through the first week of January 2021. These findings are from a unique high frequency, real time survey of small employer businesses, the Census Bureau's Small Business Pulse Survey (SBPS). Findings from the SBPS show substantial variation across sectors in the outcomes for small businesses. Small businesses in Accommodation and Food Services have been hit especially hard relative to those Finance and Insurance. However, even in Finance and Insurance small businesses exhibit indicators of negative growth, business sentiment, and expectations for all weeks from late April 2020 through the first week of 2021. While existing small businesses have fared poorly, after an initial decline, there has been a surge in new business applications based on the high frequency, real time Business Formation Statistics (BFS). Most of these applications are for likely nonemployers that are out of scope for the SBPS. However, there has also been a surge in new applications for likely employers. The surge in applications has been especially apparent in Retail Trade (and especially Non-store Retailers). We compare and contrast the patterns from these two new high frequency data products that provide novel insights into the distinct patterns of dynamics for existing small businesses relative to new business formations.
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• Working Paper

  
  
  Small Business Pulse Survey Estimates by Owner Characteristics and Rural/Urban Designation
  

  September 2021

  Authors: Lucia Foster, Shawn Klimek, Emin Dinlersoz, Catherine Buffington, Daniel Chapman, James Hunt

  Working Paper Number:

  CES-21-24

  In response to requests from policymakers for additional context for Small Business Pulse Survey (SBPS) measures of the impact of COVID-19 on small businesses, we researched developing estimates by owner characteristics and rural/urban locations. Leveraging geographic coding on the Business Register, we create estimates of the effect of the pandemic on small businesses by urban and rural designations. A more challenging exercise entails linking micro-level data from the SBPS with ownership data from the Annual Business Survey (ABS) to create estimates of the effect of the pandemic on small businesses by owner race, sex, ethnicity, and veteran status. Given important differences in survey design and concerns about nonresponse bias, we face significant challenges in producing estimates for owner demographics. We discuss our attempts to meet these challenges and provide discussion about caution that must be used in interpreting the results. The estimates produced for this paper are available for download. 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

  
  
  The Characteristics of Business Owners Database, 1992
  

  May 1999

  Authors: Brian Headd

  Working Paper Number:

  CES-99-08

  This report describes the Characteristics of Business Owners (CBO), 1992 microdata available to researchers at the Center for Economic Studies and the CBO survey. The Bureau of the Census has conducted the 1982, 1987, and 1992 CBOs for the U.S. Small Business Administration, the Minority Business Development Agency, and the general public. For the 1992 CBO, there were three surveys, a sole proprietor survey, an owner survey for each owner in partnerships and S corporations, and a firm survey for each partnership and S corporation. For database purposes, the owner questions on the sole proprietors survey and owner survey were merged, and the firm questions on the sole proprietors survey and firm survey were merged. The owner database has 116,589 records, and the firm survey has 78,147 records. The CBO reports on owners about their background such as owner type (race, and ethnicity), age, education, work experience, veteran status, etc. The CBO reports on firms (with and without employees) about their economic details such as industry, financing, home-based, exporting, franchising, profits, etc. In addition, the CBO was conducted in 1996 on firms in existence in 1992 allowing for some survivability analysis. The CBO over samples women and minority owners to allow researchers to more reliably study these owners. This survey is an extension of the Survey of Minority-Owned Business Enterprises (SMOBE) and Survey of Women-Owned Businesses (WOB) within the economic census. The CBO is available as a report, special tabulations, or microdata for approved researchers.
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• Working Paper

  
  
  The Characteristics of Business Owners (CBO) Database
  

  October 1989

  Authors: Alfred R Nucci

  Working Paper Number:

  CES-89-09

  The Bureau of the Census conducted the Characteristics of Business Owners (CBO) survey for the Small Business Administration and the Minority Business Development Agency in 1986. The CBO collected information from a national sample of 126,000 business owners, surveying the demographic and economic characteristics of owners and the economic performance of their firms. A major feature of the CBO is the large numbers of Hispanic, Asian and Other, Black and Women businesses, in addition to nonminority, male-owned businesses. The CBO data series also serves the broader purpose of providing data on characteristics of owners and firms in the small business population. This paper provides a report of the purpose, content, and basic procedures used for the survey and presents a preliminary discussion of the coverage and overall response.
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  Tracking Firm Use of AI in Real Time: A Snapshot from the Business Trends and Outlook Survey
  

  March 2024

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  Working Paper Number:

  CES-24-16

  Timely and accurate measurement of AI use by firms is both challenging and crucial for understanding the impacts of AI on the U.S. economy. We provide new, real-time estimates of current and expected future use of AI for business purposes based on the Business Trends and Outlook Survey for September 2023 to February 2024. During this period, bi-weekly estimates of AI use rate rose from 3.7% to 5.4%, with an expected rate of about 6.6% by early Fall 2024. The fraction of workers at businesses that use AI is higher, especially for large businesses and in the Information sector. AI use is higher in large firms but the relationship between AI use and firm size is non-monotonic. In contrast, AI use is higher in young firms although, on an employment-weighted basis, is U-shaped in firm age. Common uses of AI include marketing automation, virtual agents, and data/text analytics. AI users often utilize AI to substitute for worker tasks and equipment/software, but few report reductions in employment due to AI use. Many firms undergo organizational changes to accommodate AI, particularly by training staff, developing new workflows, and purchasing cloud services/storage. AI users also exhibit better overall performance and higher incidence of employment expansion compared to other businesses. The most common reason for non-adoption is the inapplicability of AI to the business.
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• Working Paper

  
  
  The Management and Organizational Practices Survey (MOPS): An Overview*
  

  January 2016

  Authors: Ron Jarmin, Lucia Foster, Scott Ohlmacher, Catherine Buffington

  Working Paper Number:

  CES-16-28

  Understanding productivity and business dynamics requires measuring production outputs and inputs. Through its surveys and use of administrative data, the Census Bureau collects information on production outputs and inputs including labor, capital, energy, and materials. With the introduction of the Management and Organizational Practices Survey (MOPS), the Census Bureau added information on another component of production: management. It has long been hypothesized that management is an important component of firm success, but until recently the study of management was confined to hypotheses, anecdotes, and case studies. Building upon the work of Bloom and Van Reenen (2007), the first-ever large scale survey of management practices in the United States, the MOPS, was conducted by the Census Bureau for 2010. A second, enhanced version of the MOPS is being conducted for 2015. The enhancement includes two new topics related to management: data and decision making (DDD) and uncertainty. As information technology has expanded plants are increasingly able to utilize data in their decision making. Structured management practices have been found to be complementary to DDD in earlier studies. Uncertainty has policy implications because uncertainty is found to be associated with reduced investment and employment. Uncertainty also plays a role in the targeting component of management.
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