An important finding in the rapidly growing literature on self-employment is that the probability of self-employment is substantially higher among the children of business owners than among the children of non-business owners. Using data from the confidential and restricted-access Characteristics of Business Owners (CBO) Survey, we provide some suggestive evidence on the causes of intergenerational links in business ownership and the related issue of how having a family business background affects small business outcomes. Estimates from the CBO indicate that more than half of all business owners had a self-employed family member prior to starting their business. Conditional on having a self-employed family member, less than 50 percent of small business owners worked in that family member's business suggesting that it is unlikely that intergenerational links in self-employment are solely due to the acquisition of general and specific business capital and that instead similarities across family members in entrepreneurial preferences may explain part of the relationship. In contrast, estimates from regression models conditioning on business ownership indicate that having a self-employed family member plays only a minor role in determining small business outcomes, whereas the business human capital acquired from prior work experience in a family member's business appears to be very important for business success. Estimates from the CBO also indicate that only 1.6 percent of all small businesses are inherited suggesting that the role of business inheritances in determining intergenerational links in self-employment is limited at best.
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Why Are Black-Owned Businesses Less Successful than White-Owned Businesses? The Role of Families, Inheritances, and Business Human Capital
June 2005
Working Paper Number:
CES-05-06
Four decades ago, Nathan Glazer and Daniel Patrick Moynihan made the argument that the black family "was not strong enough to create those extended clans that elsewhere were most helpful for businessmen and professionals." Using data from the confidential and restricted access Characteristics of Business Owners Survey, we investigate this hypothesis by examining whether racial differences in family business backgrounds can explain why black-owned businesses lag substantially behind white-owned businesses in sales, profits, employment size and survival probabilities? Estimates from the CBO indicate that black business owners have a relatively disadvantaged family business background compared with white business owners. Black business owners are much less likely than white business owners to have had a self-employed family member owner prior to starting their business and are less likely to have worked in that family member's business. We do not, however, find sizeable racial differences in inheritances of business. Using a nonlinear decomposition technique, we find that the relatively low probability of having a self-employed family member prior to business startup among blacks does not generally contribute to racial differences in small business outcomes. Instead, the lack of prior work experience in a family business among black business owners, perhaps by limiting their acquisition of general and specific business human capital, negatively affects black business outcomes. We also find that limited opportunities for acquiring specific business human capital through work experience in businesses providing similar goods and services contribute to worse business outcomes among blacks. We compare these estimates to contributions from racial differences in owner's education, startup capital, geographical location and other factors.
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Gender Differences in Business Performance: Evidence from the Characteristics of Business Owners Survey
December 2008
Working Paper Number:
CES-08-39
Using confidential microdata from the U.S. Census Bureau, we investigate the performance of female-owned businesses making comparisons to male-owned businesses. Using regression estimates and a decomposition technique, we explore the role that human capital, especially through prior work experience, and financial capital play in contributing to why female-owned businesses have lower survival rates, profits, employment and sales. We find that female-owned businesses are less successful than male-owned businesses because they have less startup capital, and business human capital acquired through prior work experience in a similar business and prior work experience in family business. We also find some evidence that femaleowned businesses work fewer hours and may have different preferences for the goals of their business.
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Determinants of Business Success: An Examination of Asian-Owned Businesses in the United States
December 2006
Working Paper Number:
CES-06-32
Using confidential and restricted-access microdata from the U.S. Census Bureau, we find that Asian-owned businesses are 16.9 percent less likely to close, 20.6 percent more likely to have profits of at least $10,000, and 27.2 percent more likely to hire employees than whiteowned businesses in the United States. Asian firms also have mean annual sales that are roughly 60 percent higher than the mean sales of white firms. Using regression estimates and a special non-linear decomposition technique, we explore the role that class resources, such as financial capital and human capital, play in contributing to the relative success of Asian businesses. We find that Asian-owned businesses are more successful than white-owned businesses for two main reasons . Asian owners have high levels of human capital and their businesses have substantial startup capital. Startup capital and education alone explain from 65 percent to the entire gap in business outcomes between Asians and whites. Using the detailed information on both the owner and the firm available in the CBO, we estimate the explanatory power of several additional factors.
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Access to Financial Capital Among U.S. Businesses: The Case of African-American Firms
December 2006
Working Paper Number:
CES-06-33
The differences between African-American business ownership rates and white business ownership rates are striking. Estimates from the 2000 Census indicate that 11.8 percent of white workers are self-employed business owners, compared with only 4.8 percent of black workers. Furthermore, black-white differences in business ownership rates have remained roughly constant over most of the twentieth century (Fairlie and Meyer 2000). In addition to lower rates of business ownership, black-owned businesses are less successful on average than are white or Asian firms. In particular, black-owned businesses have lower sales, hire fewer employees and have smaller payrolls than white- or Asian-owned businesses, on average (U.S. Census Bureau 2001, U.S. Small Business Administration 2001). Black firms also have lower profits and higher closure rates than white firms (U.S. Census Bureau 1997, U.S. Small Business Administration 1999). For most outcomes, the disparities are extremely large. For example, estimates from the 2002 Survey of Business Owners (SBO) indicate that white firms have average sales of $437,870 compared with only $74,018 for black firms.
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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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Entrepreneur Factor Inputs and Small Business Longevity
June 1989
Working Paper Number:
CES-89-04
This study analyzes nationwide samples of black and nonminority entrepreneurs who entered into small business ownership between 1976 and 1982. Econometric models are estimated that seek to differentiate traits of owners whose firms were still operating in late 1986 from those whose businesses had discontinued. Explanatory variables used to differentiate surviving firms from discontinuances include qualitative and quantitative measures of owner human capital, demographic traits, and owner financial capital inputs at the point of business startup. Certain characteristics typify the firms that are most likely to remain in business, irrespective of whether the owner is black or white: investment of substantial amounts of financial capital at the point of business startup; competing in the open marketplace, as opposed to catering to a minority clientele; high levels of owner educational attainment. The higher business discontinuance rates observed among blacks are rooted strongly in the lower financial capital inputs that typify the black firms at the point of startup.
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High-Growth Entrepreneurship
January 2017
Working Paper Number:
CES-17-53
We study the patterns and determinants of job creation for a large cohort of start-up firms. Analysis of the universe of U.S. employers reveals strong persistence in employment size from firm birth to age seven, with a small fraction of firms accounting for most employment at both ages, patterns that are little explained by finely disaggregated industry controls or amount of finance. Linking to data from the Survey of Business Owners on characteristics of 54,700 founders of 36,400 start-ups, and defining 'high growth' as the top 5% of firms in the size distribution at age zero and seven, we find that women have a 30% lower probability of founding high-growth entrepreneurships at both ages. A similar gap for African-Americans at start-up disappears by age seven. Other differences with respect to race, ethnicity, and nativity are modest. Founder age is initially positively associated with high growth probability but the profile flattens after seven years and even becomes slightly negative. The education profile is initially concave, with advanced degree recipients no more likely to found high growth firms than high school graduates, but the former catch up to those with bachelor's degrees by firm age seven, while the latter do not. Most other relationships of high growth with founder characteristics are highly persistent over time. Prior business ownership is strongly positively associated, and veteran experience negatively associated, with high growth. A larger founding team raises the probability of high growth, while diversity (by gender, age, race/ethnicity, or nativity) either lowers the probability or has little effect. More start-up capital raises the high-growth propensity of firms founded by a sole proprietor, women, minorities, immigrants, veterans, novice entrepreneurs, and those who are younger or with less education. Perhaps surprisingly, women, minorities, and those with less education tend to choose high growth industries, but fewer of them achieve high growth compared to their industry peers.
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Taking the Leap: The Determinants of Entrepreneurs Hiring their First Employee
January 2016
Working Paper Number:
CES-16-48
Job creation is one of the most important aspects of entrepreneurship, but we know relatively little about the hiring patterns and decisions of startups. Longitudinal data from the Integrated Longitudinal Business Database (iLBD), Kauffman Firm Survey (KFS), and the Growing America through Entrepreneurship (GATE) experiment are used to provide some of the first evidence in the literature on the determinants of taking the leap from a non-employer to employer firm among startups. Several interesting patterns emerge regarding the dynamics of non-employer startups hiring their first employee. Hiring rates among the universe of non-employer startups are very low, but increase when the population of non-employers is focused on more growth-oriented businesses such as incorporated and EIN businesses. If non-employer startups hire, the bulk of hiring occurs in the first few years of existence. After this point in time relatively few non-employer startups hire an employee. Focusing on more growth- and employment-oriented startups in the KFS, we find that Asian-owned and Hispanic-owned startups have higher rates of hiring their first employee than white-owned startups. Female-owned startups are roughly 10 percentage points less likely to hire their first employee by the first, second and seventh years after startup. The education level of the owner, however, is not found to be associated with the probability of hiring an employee. Among business characteristics, we find evidence that business assets and intellectual property are associated with hiring the first employee. Using data from the largest random experiment providing entrepreneurship training in the United States ever conducted, we do not find evidence that entrepreneurship training increases the likelihood that non-employers hire their first employee.
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Endogenous Growth and Entrepreneurial Activity in Cities
January 2003
Working Paper Number:
CES-03-02
Recent theories of economic growth have stressed the role of externalities in generating growth. Using data from the Census Bureau that tracks all employers in the whole U.S. private sector economy, we examine the impact of these externalities, as measured by entrepreneurial activity, on employment growth in Local Market Areas. We find that differences in levels of entrepreneurial activity, diversity among geographically proximate industries, and the extent of human capital are positively associated with variation in growth rates, but the manufacturing sector appears to be an exception.
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Commercial Bank Lending Practices And The Development Of Black-Owned Construction Companies
December 1991
Working Paper Number:
CES-91-09
Although the construction industry has been a tremendous growth industry for black entrepreneurs in recent years, black-owned construction firms, on average, are less than half the size of those owned by nonminorities. Previous findings suggest that limited access to financial capital, particularly bank loans, has restricted the size of black-owned businesses. Examination of nationwide random samples of construction companies reveals that black firms are treated differently than nonminorities when they borrow from commercial banks: they get smaller loans than nonminorities who have otherwise identical traits. Undercapitalization, in turn, is shown to increase the likelihood of firm discontinuance. Alleviation of undercapitalization problems would help promote the development of black-owned businesses in the construction industry.
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