Table 2b. Racial and ethnic differences in total mental health care expenditures among those with positive expenditures by quantile.
Comparing White Expenditure to Predicted Minority Mental Health Expenditure using Black/Latino Coefficients and White Covariate Distributions
| Quantile Regression | Quantile |
|
|
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|---|---|---|---|---|---|---|---|---|
| White | Black | B-W Disparity | %Disparity | Latino | L-W Disparity | %Disparity | ||
|
|
|
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| Estimate | Estimate | Estimate | ||||||
| Full covariates model | 50% | 389.79 | 377.47 | 12.32 | 3% | 372.63 | 17.16 | 4% |
| 75% | 997.81 | 1067.00 | −69.19 | −7% | 1022.37 | −24.56 | −2% | |
| 95% | 3436.47 | 3715.49 | −279.01 | −8% | 3883.02 | −446.55 | −13% | |
| HS covariates only model | 50% | 394.78 | 384.62 | 10.16 | 3% | 310.28 | 84.50 | 21% * |
| 75% | 992.98 | 1207.17 | −214.19 | −22% | 877.76 | 115.22 | 12% | |
| 95% | 3613.39 | 5578.72 | −1965.33 | −54% | 3449.86 | 163.53 | 5% | |
Source: 2004–2008 MEPS (n=83,878)
*
p<.10
In addition to race/ethnicity indicator variables, quantile regression models using need only covariates adjust for health and mental health status variables (self-reported mental health and health status, mental and physical components of the SF-12 scale, K6 scale of severe psychological distress, PHQ-2 depression scale, list of chronic conditions, BMI, age, gender. Full covariate models additionally include socioeconomic status variables (poverty status, education, and marital status), and interactions between race/ethnicity and education and income.