From: Heckman imputation models for binary or continuous MNAR outcomes and MAR predictors
Methods | \(\beta _{Y}^{sl}\) | % R b i a s | S E cal | S E emp | RMSE | Cover |
---|---|---|---|---|---|---|
Before | 0 | 0.2 | 0.063 | 0.064 | 0.064 | 95.4 |
deletion | 1 | 0.0 | 0.064 | 0.066 | 0.066 | 94.2 |
2 | -0.2 | 0.063 | 0.061 | 0.061 | 96.2 | |
CCA | 0 | 0.3 | 0.079 | 0.078 | 0.078 | 95.8 |
1 | -18.9 | 0.079 | 0.080 | 0.205 | 33.5 | |
2 | -30.1 | 0.075 | 0.076 | 0.310 | 2.1 | |
HEml | 0 | 0.3 | 0.105 | 0.108 | 0.108 | 93.6 |
1 | -1.3 | 0.117 | 0.131 | 0.131 | 92.7 | |
2 | -1.5 | 0.098 | 0.111 | 0.112 | 94.3 | |
MIHEml | 0 | 0.3 | 0.107 | 0.110 | 0.110 | 94.0 |
1 | -1.2 | 0.121 | 0.133 | 0.134 | 92.6 | |
2 | -1.3 | 0.105 | 0.113 | 0.114 | 94.7 | |
HE2steps | 0 | 0.3 | 0.107 | 0.105 | 0.105 | 95.4 |
1 | 0.9 | 0.149 | 0.158 | 0.158 | 95.0 | |
2 | 0.0 | 0.162 | 0.165 | 0.165 | 95.6 | |
MIHE2steps | 0 | 0.3 | 0.110 | 0.106 | 0.106 | 95.5 |
1 | 0.9 | 0.151 | 0.159 | 0.159 | 94.6 | |
2 | 0.0 | 0.163 | 0.166 | 0.166 | 94.8 |