
Figure 1.
Irwin and Millstein’s (1986) Biopsychosocial Risk-Taking Framework as Adapted for this Study.

Figure 2.
Conceptual Framework.

Figure 3.
Modified Conceptual Framework.
Table 1.
Descriptive Statistics for Variables of Interest in the Study
| Black Female | Wealth | Risk Tolerance | Gender Role Attitude | Education 2008 | Education 2010 | |
|---|---|---|---|---|---|---|
| M | 0.30 | 4.86 | 0.00 | 0.00 | 13.30 | 13.34 |
| Mdn | 0.00 | 5.02 | 0.04 | 0.23 | 12.00 | 12.00 |
| SD | 0.46 | 0.88 | 1.00 | 1.00 | 2.56 | 2.59 |
| Min | 0.00 | 0.00 | −1.57 | −1.26 | 2.00 | 2.00 |
| Max | 1.00 | 6.56 | 2.50 | 3.41 | 20.00 | 20.00 |
Table 2.
Correlation Coefficient Estimates Across the Variables of Interest in the Study
| Black Female | Wealth | Risk Tolerance | Gender Role Attitude | Education 2008 | Education 2010 | |
|---|---|---|---|---|---|---|
| Kendall’s Tau-b Correlations | ||||||
| Black Female | 1.000 | |||||
| Wealth | −.322** | 1.000 | ||||
| Risk Tolerance | .038** | .075** | 1.000 | |||
| Gender Role Attitude | .032* | −.087** | −.029* | 1.000 | ||
| Education 2008 | −.122** | .304** | .092** | −.146** | 1.000 | |
| Education 2010 | −.114** | .300** | .092** | −.142** | .864** | 1.000 |
| Spearman’s Correlations | ||||||
| Black Female | 1.000 | |||||
| Wealth | −.395** | 1.000 | ||||
| Risk Tolerance | .046** | .106** | 1.000 | |||
| Gender Role Attitude | .036* | −.119** | −.039* | 1.000 | ||
| Education 2008 | −.137** | .413** | .125** | −.186** | 1.000 | |
| Education 2010 | −.129** | .409** | .124** | −.179** | .917** | 1.000 |
Table 3.
Estimates of the Relationship between being a Black Female and Risk Tolerance
| Unstandardized Coefficients | Standardized Coefficients | t | Sig. | ||
|---|---|---|---|---|---|
| B | Std. Error | Beta | |||
| (Constant) | −.991 | .162 | −6.118 | .000 | |
| Black Female | .175 | .049 | .089 | 3.596 | .000 |
| Wealth | .104 | .029 | .096 | 3.588 | .000 |
| Education | .031 | .010 | .081 | 3.235 | .001 |
| Gender Role Attitude | −.053 | .022 | −.056 | −2.415 | .016 |
Table 4.
Mediation Tests of Risk Tolerance as a Function of Being Black Female
| Model | Independent Variable | Dependent Variable | Coefficients | Sig. |
|---|---|---|---|---|
| Wealth | ||||
| 1 | Black Female | Risk Tolerance | .118 | .001 |
| 2 | Black Female | Wealth | −.697 | .001 |
| 3 | Wealth | Risk Tolerance | .086 | .001 |
| 4 | Black Female | Risk Tolerance | .185 | .001 |
| Wealth | .157 | .001 | ||
| Education | ||||
| 1 | Black Female | Risk Tolerance | .118 | .001 |
| 2 | Black Female | Education | −.662 | .001 |
| 3 | Education | Risk Tolerance | .037 | .001 |
| 4 | Black Female | Risk Tolerance | .163 | .001 |
| Education | .048 | .001 | ||
| Gender Role Attitude | ||||
| 1 | Black Female | Risk Tolerance | .118 | .001 |
| 2 | Black Female | Gender Role Attitude | .059 | .107 |
| 3 | Gender Role Attitude | Risk Tolerance | −.030 | .080 |
| 4 | Black Female | Risk Tolerance | .108 | .004 |
| Gender Role Attitude | −.039 | .032 | ||
Table 5.
Coefficients in the Path Model
| Estimate | Standardized Estimate | S.E. | p | |||
|---|---|---|---|---|---|---|
| Wealth | <--- | Black Female | −.716 | −.373 | .038 | .001 |
| Education | <--- | Black Female | −.773 | −.138 | .096 | .001 |
| Gender-Role Attitude | <--- | Black Female | .081 | .037 | .039 | .037 |
| Risk Tolerance | <--- | Wealth | .092 | .081 | .024 | .001 |
| Risk Tolerance | <--- | Education | .034 | .088 | .006 | .001 |
| Risk Tolerance | <--- | Gender-Role Attitude | −.012 | −.013 | .017 | .459 |
| Risk Tolerance | <--- | Black Female | .228 | .105 | .044 | .001 |
Table 6.
Standardized Total Effects
| Black Female | Gender-Role Attitude | Education | Wealth | |
|---|---|---|---|---|
| Gender-Role Attitude | .037 | .000 | .000 | .000 |
| Education | −.138 | .000 | .000 | .000 |
| Wealth | −.373 | .000 | .000 | .000 |
| Risk Tolerance | .062 | −.013 | .088 | .081 |
Table 7.
Standardized Direct Effects
| Black Female | Gender-Role Attitude | Education | Wealth | |
|---|---|---|---|---|
| Gender-Role Attitude | .037 | .000 | .000 | .000 |
| Education | −.138 | .000 | .000 | .000 |
| Wealth | −.373 | .000 | .000 | .000 |
| Risk Tolerance | .105 | −.013 | .088 | .081 |
Table 8.
Standardized Indirect Effects
| Black Female | Gender-Role Attitude | Education | Wealth | |
|---|---|---|---|---|
| Gender Role Attitude | .000 | .000 | .000 | .000 |
| Education | .000 | .000 | .000 | .000 |
| Wealth | .000 | .000 | .000 | .000 |
| Risk Tolerance | −.043 | .000 | .000 | .000 |
Table 9.
Estimates of the Relationship between being a Black Female and Wealth, Moderated by Risk Tolerance
| Unstandardized Coefficients | Standardized Coefficients | t | Sig. | ||
|---|---|---|---|---|---|
| B | Std. Error | Beta | |||
| (Constant) | 3.544 | .102 | 34.732 | .000 | |
| Black Female (BF) | −.600 | .036 | −.332 | −16.545 | .000 |
| Education | .115 | .007 | .327 | 15.932 | .000 |
| Gender-Role Attitude | −.027 | .018 | −.032 | −1.569 | .117 |
| Risk Tolerance | .112 | .024 | .122 | 4.585 | .000 |
| BF x Risk Tolerance | −.106 | .037 | −.075 | −2.854 | .004 |
Table 10.
Correlation Coefficient Estimates between Driving Risk Tolerance and the Variables of Interest in the Study
Table 11.
Two-stage Least Squares Analysis Robustness Check of the Moderation Model
| Unstandardized Coefficients | Standardized Coefficients | t | Sig. | ||
|---|---|---|---|---|---|
| B | Std. Error | Beta | |||
| (Constant) | 3.547 | .102 | 34.683 | .000 | |
| Black Female (BF) | −.595 | .036 | −.330 | −16.370 | .000 |
| Education | .115 | .007 | .327 | 15.872 | .000 |
| Gender-Role Attitude | −.027 | .018 | −.032 | −1.563 | .118 |
| Driving Risk Tolerance | .111 | .024 | .121 | 4.561 | .000 |
| BF x Driving Risk Tolerance | −.109 | .037 | −.077 | −2.926 | .003 |

Figure 4.
Partial Regression Plot Showing the Wealth Status of Black Women and non-Black Women.

Figure 5.
Partial Regression Plot Showing the Interaction Effect of Risk Tolerance and Black Female on Wealth Status.

Figure 6.
Interaction Effect of Risk Tolerance and Black Female on Wealth Status.

Figure 7.
Illustration of Wealth Gap Closing as Risk Tolerance Increases.

Figure 8.
Circular Relationship Between and Among Wealth and Education Attributes, Risk Tolerance, and the Observed Wealth Gap between Black Women and Non-Black Women.

Figure 9.
The Association Between Categories of Risk Tolerance and Wealth Status.