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Table 9 Sensitivity analysis, calibrated confounders for kernel matching estimate of ATET, men

From: The effect of vocational rehabilitation on the employment outcomes of disability insurance beneficiaries: new evidence from Canada

  Outcome effect Selection effect ATET SE
Leaving disability rolls
No confounder -- -- 0.065 0.073
Neutral confounder 1.008 1.051 0.065 0.071
Confounders     
High school 1.703 3.508 0.065 0.081
College 3.194 2.213 0.065 0.090
University 1.566 1.325 0.065 0.083
Married 0.601 0.862 0.065 0.074
Mental disorders 0.750 0.812 0.065 0.084
Musculoskeletal disorders 0.660 0.972 0.065 0.081
Zero earnings 1-year prior to application 0.641 1.322 0.065 0.081
Zero earnings 2-years prior to application 0.713 1.515 0.065 0.074
Gainful employment
No confounder -- -- 0.074 0.081
Neutral confounder 1.011 1.028 0.074 0.084
Confounders     
High school 1.981 3.640 0.074 0.071
College 2.990 2.175 0.074 0.083
University 1.247 1.278 0.074 0.072
Married 0.560 0.868 0.074 0.078
Mental disorders 0.862 0.805 0.074 0.082
Musculoskeletal disorders 0.599 0.994 0.074 0.083
Zero earnings 1-year prior to application 0.554 1.304 0.074 0.071
Zero earnings 2-years prior to application 0.647 1.509 0.074 0.077
Substantial gainful employment
No confounder -- -- 0.051 0.075
Neutral confounder 1.017   0.051 0.069
Confounders     
High school 1.852 3.634 0.051 0.069
College 2.946 2.196 0.051 0.065
University 1.352 1.298 0.051 0.087
Married 0.569 0.872 0.051 0.062
Mental disorders 0.085 0.797 0.051 0.073
Musculoskeletal disorders 0.639 0.974 0.051 0.069
Zero earnings 1-year prior to application 0.510 1.300 0.051 0.087
Zero earnings 2-years prior to application 0.593 1.532 0.051 0.070
  1. Notes: ATET denotes average treatment effect on the treated; SE denotes standard error. The outcome and selection effects are odds ratios. The rows in the tables denote the confounding variable, the first two rows in each panel of estimates show the ATET with no cofounding factor and with a neutral confounder. The kernel and local linear matching estimates were obtained with the Epanechnikov kernel, with bandwidths computed using cross-validation. All standard errors are obtained by bootstrapping with 1000 replications.