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

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Statistical Disparities in Capital Markets<br />

3. Differences in Interest Rates, Credit Card Use, <strong>and</strong> Failure to Apply for Fear<br />

<strong>of</strong> Denial<br />

Table 6.27 models the interest rate charged for those minority-owned <strong>and</strong> nonminority femaleowned<br />

firms that were able to successfully obtain a loan (<strong>com</strong>parable to Tables 6.13 <strong>and</strong> 6.14 for<br />

1993 <strong>and</strong> Table 6.21 for 1998). As was found in earlier surveys, African American business<br />

owners are hurt here as well since they have to pay, on average, 1.05 percentage points more for<br />

their loans than nonminority male business owners with identical characteristics. Hispanic<br />

business owners, as well, pay 0.99 percentage points more than their nonminority male<br />

counterparts.<br />

Table 6.27 shows that the loan price differential is present for African American <strong>and</strong> Hispanic<br />

business owners in the ENC as well. Table 6.27 shows that Hispanic business owners in the ENC<br />

may pay 1.44 percentage points more for their loans, on average, than <strong>com</strong>parable nonminority<br />

male business owners. For African American business owners, the differential is 0.83 percentage<br />

points but is not strongly significant.<br />

Table 6.28 reports the results <strong>of</strong> estimating a model where the dependent variable is whether a<br />

business or personal credit card is used to pay business expenses (<strong>com</strong>parable to Tables 6.11 <strong>and</strong><br />

6.12 for 1993 <strong>and</strong> Table 6.23 for 1998). As noted above, the application procedure for business<br />

<strong>and</strong> personal credit cards is usually automated <strong>and</strong> not conducted face-to-face. If there were<br />

missing variables such as creditworthiness or some such characteristic unobserved to the<br />

econometrician, then the race <strong>and</strong> ethnicity indicator variables should enter significantly in these<br />

equations. Unlike earlier years, there is some evidence that African Americans are less likely to<br />

use personal credit cards for business expenses. However, this result is not observed for business<br />

credit cards, nor is it observed in the ENC.<br />

Table 6.27. Models <strong>of</strong> Interest Rate Charged<br />

Source: See Table 6.24.<br />

Specification<br />

1a) All Loans (as in<br />

Column 5 <strong>of</strong> Table<br />

6.25) n=1,537<br />

1b) All Loans (as in<br />

Column 5 <strong>of</strong> Table<br />

6.26) n=1,537<br />

African<br />

American<br />

1.046<br />

(2.02)<br />

0.833<br />

(1.39)<br />

Asian/<br />

Pacific<br />

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

0.430<br />

(1.20)<br />

0.330<br />

(0.78)<br />

Hispanic<br />

0.991<br />

(2.72)<br />

1.440<br />

(3.22)<br />

Native<br />

<strong>and</strong><br />

Other<br />

0.260<br />

(0.35)<br />

0.475<br />

(0.51)<br />

Nonminority<br />

Female<br />

-0.148<br />

(0.75)<br />

-0.332<br />

(1.47)<br />

Notes: (1) Each line <strong>of</strong> this table represents a separate regression with all <strong>of</strong> the control variables as indicated. (2)<br />

Additionally, controls were included for whether the loan required a co-signer or guarantor, whether collateral was<br />

required <strong>and</strong>, if so, the type <strong>of</strong> collateral required. (3) <strong>The</strong> sample consists <strong>of</strong> firms that had applied for a loan <strong>and</strong><br />

had their application approved.<br />

NERA Economic Consulting 229

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