Table 2.
Average treatment effect of disability on stigma, depression and self-esteem and stigma on depression and self-esteem.
| MODEL 1 Disability on Stigma ATT°(95%CI) | MODEL 2 Disability on Depression ATT°(95%CI) | MODEL 3 Disability on Self-esteem ATT°(95%CI) | MODEL 4 Stigma on Depression ATT°(95%CI) | MODEL 5 Stigma on Self-esteem ATT °(95%CI) | |
|---|---|---|---|---|---|
| PSM Matching Results | |||||
| Kernel matching | 0.253***(0.118, 0.388) | 3.337***(1.990, 4.684) | −2.055***(-2.847, -1.263) | 4.581***(3.038, 6.126) | −1.641**(-2.668, -0.615) |
| Nearest neighbors matching: | 0.261***(0.141, 0.381) | 2.676***(1.197, 4.154) | −1.452*(-2.691, -0.213) | 4.453***(2.212, 6.694) | −1.906*(-3.669, -0.143) |
| Radius matching replacement | 0.252***(0.134, 0.371) | 3.387***(2.315, 4.458) | −2.087***(-2.867, -1.308) | 4.685***(3.227, 6.504) | −1.791**(-2.889, -0.693) |
| Radius matching without replacement | 0.252***(0.151, 0.356) | 3.387***(2.311, 4.462) | −2.087***(-2.812, -1.363) | 4.865***(3.221, 6.510) | −1.791***(-2.759, -0.823) |
| Local linear regression matching: | 0.252***(0.156, 0.349) | 3.266***(2.005, 4.527) | −1.938***(-2.696, -1.179) | 4.529***(2.791, 6.269) | −1.543*(-2.729, -0.357) |
Note: °Average Treatment Effect on the Treated; *p < 0.05, **p < 0.01, ***p < 0.001. Note: We used logit regression for the matching models and the matching variables are binary covariates included Female (ref=Male), No education (ref=Education), Married (ref=Unmarried), Work (ref=Employed), 20% Richest (ref=80%non-richest) and Age.