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

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Statistical Disparities in Capital Markets<br />

cards for business expenses. On the other h<strong>and</strong>, there is evidence in the ENC <strong>and</strong> in the nation as<br />

a whole that Asian-/Pacific Isl<strong>and</strong>er-owned firms are less likely to access business credit cards.<br />

Credit card use for financing business expenses may be an area where further research is<br />

warranted. Unfortunately, available data on this subject is quite limited.<br />

Table 6.11. Models <strong>of</strong> Credit Card Use–USA<br />

Specification<br />

1) Business Credit<br />

Card<br />

2) Personal Credit<br />

Card<br />

Source: See Table 6.1.<br />

African<br />

American<br />

0.035<br />

(1.35)<br />

0.019<br />

(0.74)<br />

Asian/<br />

Pacific<br />

Isl<strong>and</strong>er<br />

-0.096<br />

(3.23)<br />

-0.019<br />

(0.63)<br />

Native<br />

American<br />

0.085<br />

(1.00)<br />

0.019<br />

(0.23)<br />

Hispanic<br />

0.024<br />

(0.79)<br />

-0.042<br />

(1.40)<br />

Nonminority<br />

Female<br />

0.018<br />

(0.83)<br />

0.028<br />

(1.28)<br />

Sample<br />

Size<br />

Notes: (1) Reported estimates are derivatives from Probit models, t-statistics are in parentheses. (2) Each line <strong>of</strong> this<br />

table represents a separate regression with the same control variables as Column 3 <strong>of</strong> Table 6.8 but excluding the<br />

loan characteristics. (3) <strong>The</strong> dependent variable indicates whether the firm used business or personal credit cards to<br />

finance business expenses. (4) In all specifications, the sample size is all firms. (5) Other races are excluded due to<br />

sample size limitations.<br />

Table 6.12. Models <strong>of</strong> Credit Card Use–ENC<br />

Specification<br />

1) Business Credit<br />

Card<br />

2) Personal Credit<br />

Card<br />

Source: See Table 6.1.<br />

African<br />

American<br />

0.042<br />

(1.49)<br />

0.024<br />

(0.84)<br />

Asian/<br />

Pacific<br />

Isl<strong>and</strong>er<br />

-0.102<br />

(3.31)<br />

-0.023<br />

(0.74)<br />

Notes: See Table 6.11. Control for ENC included.<br />

Native<br />

American<br />

0.096<br />

(1.08)<br />

0.036<br />

(0.41)<br />

Hispanic<br />

0.018<br />

(0.58)<br />

-0.058<br />

(1.87)<br />

Nonminority<br />

Female<br />

0.026<br />

(1.09)<br />

0.019<br />

(0.78)<br />

F. Differences in Interest Rates Charged on Approved Loans<br />

NERA Economic Consulting 206<br />

4,633<br />

4,633<br />

Sample<br />

Size<br />

Although most <strong>of</strong> our analysis has addressed whether minority- <strong>and</strong> nonminority-owned firms<br />

are treated equally in terms <strong>of</strong> their probability <strong>of</strong> loan denial, another way that differential<br />

treatment may emerge is through the interest rate charged for approved loans. Discrimination<br />

may be apparent if banks approve loans to equally creditworthy minority- <strong>and</strong> nonminorityowned<br />

firms, but charge the minority-owned firms a higher interest rate. <strong>The</strong>refore, we estimated<br />

model specifications analogous to those reported previously for loan denials, but now the<br />

dependent variable represents the interest rate charged for firms whose loans were approved <strong>and</strong><br />

the set <strong>of</strong> explanatory variables includes characteristics <strong>of</strong> the loan. More formally, the model we<br />

estimated takes the form:<br />

4,633<br />

4,633

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