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The State of Minority- and Women- Owned ... - Cleveland.com

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Market-Based Disparities in Business Formation <strong>and</strong> Business Owner Earnings<br />

structure <strong>of</strong> the family, were found to be determining factors in the decision to move from wage<br />

work into entrepreneurship. Broussard, et al. (2003) found that the self-employed have between<br />

0.2 <strong>and</strong> 0.4 more children <strong>com</strong>pared to the non-self-employed. <strong>The</strong> authors argue that having<br />

more children can increase the likelihood that an inside family member will be a good match at<br />

running the business. One might also think that the existence <strong>of</strong> family businesses, which are<br />

particularly prevalent in construction <strong>and</strong> in agriculture, is a further way to over<strong>com</strong>e the<br />

existence <strong>of</strong> capital constraints. Transfers <strong>of</strong> firms within families will help to preserve the status<br />

quo <strong>and</strong> will work against the interests <strong>of</strong> African Americans, in particular, who do not have as<br />

strong a history <strong>of</strong> business ownership as indigenous non-minorities. Analogously, Hout <strong>and</strong><br />

Rosen (2000) <strong>and</strong> Fairlie <strong>and</strong> Robb (2007a) found that the <strong>of</strong>fspring <strong>of</strong> self-employed parents are<br />

more likely than others to be<strong>com</strong>e self-employed <strong>and</strong> argued that the historically low rates <strong>of</strong><br />

self-employment among African Americans <strong>and</strong> Latinos may contribute to their low<br />

contemporary rates. Fairlie <strong>and</strong> Robb (2007b), using data from the U.S. Characteristics <strong>of</strong><br />

Business Owners Survey, <strong>and</strong> Dunn <strong>and</strong> Holtz-Eakin (2000), using data from the U.S. National<br />

Longitudinal Surveys, show that the transmission <strong>of</strong> positive effects <strong>of</strong> family on selfemployment<br />

operates through two channels, intergenerational transmission <strong>of</strong> entrepreneurial<br />

preferences <strong>and</strong> wealth, <strong>and</strong> the acquisition <strong>of</strong> general <strong>and</strong> specific human capital.<br />

A continuing puzzle in the literature has been why, nationally, the self-employment rate <strong>of</strong><br />

African American males is one-third <strong>of</strong> that <strong>of</strong> nonminority males <strong>and</strong> has remained roughly<br />

constant since 1910. Fairlie <strong>and</strong> Meyer (2000) rule out a number <strong>of</strong> explanations for the<br />

difference. <strong>The</strong>y found that trends in demographic factors, including the Great Migration <strong>and</strong> the<br />

racial convergence in education levels, “did not have large effects on the trend in the racial gap<br />

in self-employment” (p. 662). <strong>The</strong>y also found that an initial lack <strong>of</strong> business experience “cannot<br />

explain the current low levels <strong>of</strong> black self-employment.” Further, they found that “the lack <strong>of</strong><br />

traditions in business enterprise among blacks that resulted from slavery cannot explain a<br />

substantial part <strong>of</strong> the current racial gap in self-employment” (p. 664).<br />

Fairlie (1999) <strong>and</strong> Wainwright (2000) have shown that a considerable part <strong>of</strong> the explanation <strong>of</strong><br />

the differences between the African American <strong>and</strong> nonminority self-employment rate can be<br />

attributed to discrimination. Using the 5 percent Public Use Microdata Sample data (“PUMS”)<br />

from the 1990 Census, Wainwright (2000) demonstrated that these disparities tend to persist<br />

even when factors such as geography, industry, occupation, age, education <strong>and</strong> assets are held<br />

constant.<br />

Bates (1989) finds strong supporting evidence that racial differences in levels <strong>of</strong> financial capital<br />

have significant effects upon racial patterns in business failure rates. Fairlie (1999, 2006)<br />

demonstrates, for example, that the African American exit rate from self-employment is twice as<br />

high as that <strong>of</strong> non-minorities. An example will help to make the point. Two baths are being<br />

filled with water. In the first scenario, both have the plug in. Water flows into bath A at the same<br />

rate as it does into bath B—that is, the inflow rate is the same. When we return after ten minutes<br />

the amount <strong>of</strong> water (the stock) will be the same in the two baths as the inflow rates were the<br />

same. In the second scenario, we take out the plugs <strong>and</strong> allow for the possibility that the outflow<br />

rates from the two baths are different. Bath A (the African American firms) has a much larger<br />

drain <strong>and</strong> hence the water flows out more quickly than it does from bath B (the nonminority<br />

firms). When we return after 10 minutes, even though the inflow rates are the same there is much<br />

NERA Economic Consulting 150

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