TABLE 2—
Probability of Prison for Drug-Involved Male Arrests: California, 1995–2005
| Model 1 |
Model 2 |
Model 3 |
Model 4 |
|||||
| Variable | Pre-Prop36 | Post-Prop36 | Pre-Prop36 | Post-Prop36 | Pre-Prop36 | Post-Prop36 | Pre-Prop36 | Post-Prop36 |
| Blacks vs Whites | ||||||||
| OR (95% CI) | 2.125** (1.926, 2.344) | 2.088** (1.856, 2.350) | 1.763** (1.591, 1.954) | 1.573** (1.385, 1.787) | 0.967 (0.867, 1.078) | 0.953 (0.834, 1.090) | 1.060 (0.948, 1.185) | 1.067 (0.928, 1.226) |
| Robust standard error | 0.107 | 0.126 | 0.093 | 0.102 | 0.054 | 0.065 | 0.060 | 0.076 |
| Demographics | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Arrest characteristics | No | No | Yes | Yes | Yes | Yes | Yes | Yes |
| Criminal history | No | No | No | No | Yes | Yes | Yes | Yes |
| County-fixed effectsa | No | No | No | No | No | No | Yes | Yes |
| Sample, no. | 44 079 | 52 363 | 44 079 | 52 363 | 44 079 | 52 363 | 44 062 | 51 845 |
| Clusters, no. | 21 941 | 26 353 | 21 941 | 26 353 | 21 941 | 26 353 | 21 933 | 26 062 |
| Test statistic for difference in coefficients: pre- vs post-Prop36b | 0.222 | 1.375 | 0.156 | −0.067 | ||||
| Hispanics vs Whites | ||||||||
| OR (95% CI) | 1.210** (1.112, 1.316) | 0.921 (0.833, 1.018) | 1.244** (1.139, 1.359) | 1.034 (0.927, 1.153) | 1.309** (1.196, 1.421) | 1.063 (0.954, 1.180) | 1.201*** (1.097, 1.314) | 1.001 (0.896, 1.118) |
| Robust standard error | 0.052 | 0.047 | 0.056 | 0.057 | 0.058 | 0.058 | 0.055 | 0.057 |
| Demographics | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Arrest characteristics | No | No | Yes | Yes | Yes | Yes | Yes | Yes |
| Criminal history | No | No | No | No | Yes | Yes | Yes | Yes |
| County-fixed effectsa | No | No | No | No | No | No | Yes | Yes |
| Sample, no. | 61 395 | 85 505 | 61 395 | 85 505 | 61 395 | 85 505 | 61 316 | 84 656 |
| Cluster, no. | 33 660 | 45 538 | 33 660 | 45 538 | 33 660 | 45 538 | 33 611 | 45 076 |
| Test statistic for difference in coefficients: pre- vs post-Prop36b | 4.134** | 2.627** | 3.024** | 2.520** | ||||
Note. CI = confidence interval; OR = odds ratio.
Models with county-fixed effects have a slightly smaller sample size because counties with no variation dropped out of the regression.
Z-test statistic for comparison of coefficients.
*P < .05; **P < .01; ***P < .001.