Table 7.
21 Treatment States | 14 Treatment States | |||
---|---|---|---|---|
26 Potential Control States | 24 Potential Control States | |||
Outcome | Pre-Reform Mean in Treated States (Std. Dev.) | Estimates (p-value) | Pre-Reform Mean in Treated States (Std. Dev.) | Estimates (p-value) |
(1) | (2) | (3) | (4) | |
$0 Total Debt Past Due | 0.807 | −0.000 | 0.808 | −0.005 |
(0.023) | (0.903) | (0.025) | (0.140) | |
$1–$5000 Total Debt Past Due | 0.114 | −0.001 | 0.116 | −0.002 |
(0.013) | (0.528) | (0.016) | (0.107) | |
$5001–$10000 Total Debt Past Due | 0.034 | −0.000 | 0.032 | 0.002* |
(0.006) | (0.992) | (0.005) | (0.082) | |
$10000+ Total Debt Past Due | 0.046 | −0.000 | 0.043 | 0.001 |
(0.009) | (0.904) | (0.008) | (0.361) | |
| ||||
$0 Credit Card Balance Past Due | 0.822 | 0.014* | 0.838 | 0.010** |
(0.034) | (0.051) | (0.033) | (0.023) | |
$1–$1000 Credit Card Balance Past Due | 0.033 | −0.001 | 0.034 | −0.001 |
(0.007) | (0.269) | (0.009) | (0.360) | |
$1001–$2000 Credit Card Balance Past Due | 0.037 | 0.000 | 0.035 | −0.002 |
(0.007) | (0.987) | (0.008) | (0.282) | |
$2000+ Credit Card Balance Past Due | 0.080 | −0.008*** | 0.066 | −0.003 |
(0.022) | (0.009) | (0.018) | (0.133) | |
| ||||
$0 Collections | 0.765 | 0.003 | 0.723 | −0.000 |
(0.058) | (0.561) | (0.048) | (0.990) | |
$1–$1000 Collections | 0.160 | 0.005 | 0.185 | 0.006 |
(0.036) | (0.152) | (0.031) | (0.130) | |
$1001–$2000 Collections | 0.039 | −0.004** | 0.048 | −0.001 |
(0.012) | (0.021) | (0.011) | (0.420) | |
$2000+ Collections | 0.036 | −0.004* | 0.044 | −0.007** |
(0.012) | (0.052) | (0.011) | (0.013) | |
| ||||
Credit Score <=600 | 0.310 | −0.001 | 0.328 | −0.003 |
(0.049) | (0.823) | (0.053) | (0.539) | |
Credit Score 601–660 | 0.185 | −0.007** | 0.177 | −0.002 |
(0.014) | (0.013) | (0.009) | (0.615) | |
Credit Score 661–780 | 0.283 | 0.005 | 0.262 | 0.003 |
(0.037) | (0.140) | (0.035) | (0.443) | |
Credit Score 780+ | 0.221 | 0.005 | 0.233 | 0.002 |
(0.030) | (0.210) | (0.032) | (0.705) |
Table 7 reports the estimates of the post-2014 differences in financial indicators between treated and synthetic control states for non-elderly adults in the most treated zip codes. The synthetic control weights are determined by matching on all values of the dependent variable in the pre-reform period. Columns (1) – (2) present the results for the broad sample with 21 treatment states and 26 potential control states. Columns (3) – (4) present the results for the narrow sample with 14 treatment states and 24 potential control states. For each expansionary definition, we present the 2010–2013 pre-reform mean outcome for the treated states and the average post-reform quarterly difference between the treated states and their synthetic counterpart. In all results, AK, IN, NH, and PA are dropped. Bolded results are also significant at the 5% level when the Holm-Bonferroni correction using 4 outcomes (for each categorical variable group) is applied to assess absolute gap p-values.
Significance levels:
10%,
5%,
1%.