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

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NAICS<br />

Industry<br />

Group<br />

M/WBE Availability in the City <strong>of</strong> Clevel<strong>and</strong>’s Market Area<br />

NAICS Description<br />

Number <strong>of</strong><br />

Listed<br />

M/WBEs<br />

Industry<br />

Weight<br />

Industry<br />

Weight<br />

(Cumulative)<br />

4471 Gasoline Stations 22 0.03 99.19<br />

Source <strong>and</strong> Notes: See Table 4.1.<br />

3. Verify Listed M/WBEs<br />

a. Introduction<br />

It is likely that information on M/WBEs from Dun & Bradstreet <strong>and</strong> other M/WBE directories is<br />

not correct in all instances. Phenomena such as ownership changes, associate or mentor status,<br />

recording errors, or even outright misrepresentation, will lead to businesses being listed as<br />

M/WBEs in a particular directory even though they may actually be owned by nonminority<br />

males. Other things equal, this type <strong>of</strong> error would cause our availability estimate to be biased<br />

upward from the actual availability number.<br />

<strong>The</strong> second likelihood that must be addressed is that not all M/WBE businesses are necessarily<br />

listed—either in Dun & Bradstreet or in any <strong>of</strong> the other directories we collected. Such<br />

phenomena as geographic relocation, ownership changes, directory <strong>com</strong>pilation errors, fear <strong>of</strong><br />

stigmatization, <strong>and</strong> limitations in M/WBE outreach, could all lead to M/WBEs being unlisted.<br />

Other things equal, this type <strong>of</strong> error would cause our availability estimate to be biased<br />

downward from the actual availability number.<br />

In our experience, we have found that both types <strong>of</strong> bias are not un<strong>com</strong>mon. For this Study, we<br />

corrected for the effect <strong>of</strong> these biases using statistical sampling procedures. We surveyed a<br />

large, stratified r<strong>and</strong>om sample <strong>of</strong> 6283 establishments drawn from the Baseline Business<br />

Universe <strong>and</strong> measured how <strong>of</strong>ten they were misclassified (or unclassified) by race <strong>and</strong>/or<br />

gender. 218<br />

Strata were defined according to NAICS sectors <strong>and</strong> listed M/WBE status. 219 In the telephone<br />

survey, up to 10 attempts were made to reach each business <strong>and</strong> speak with an appropriate<br />

respondent. Attempts were scheduled for a mix <strong>of</strong> day <strong>and</strong> evening, weekdays <strong>and</strong> weekends,<br />

<strong>and</strong> appointments were scheduled for callbacks when necessary. Of the 6,587 firms in our<br />

sample, 3,202 (48.6%) were listed M/WBEs <strong>and</strong> 3,385 (51.4%) were unclassified by race or<br />

gender. Of these 6,587 firms, however, 745 (11.3%) were excluded as “unable to contact.”<br />

218 A similar method was employed by the Federal Reserve Board to deal with similar problems in designing <strong>and</strong><br />

implementing the National Survey <strong>of</strong> Small Business Finances for 1993 <strong>and</strong> 1998. See Haggerty, C.,<br />

K. Grigorian, R. Harter <strong>and</strong> J. D. Wolken (2000).<br />

219 Eighteen separate industry strata were created based on NAICS code. All 18 strata were then split according to<br />

listed M/WBE status to create a total <strong>of</strong> 36 strata. Generally, listed M/WBEs were sampled at a higher rate than<br />

unclassified establishments.<br />

NERA Economic Consulting 121

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