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Table 7 Estimates of the ATET of VR on individual outcomes, men

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

  Matching estimator Inverse probability weighting Genetic matching
Kernel Local linear
  Sample restricted to propensity score values [0.001, 0.40]
Leaving disability rolls 0.057 0.073 0.039 −0.036
(0.082) (0.113) (0.076) (0.096)
Gainful employment 0.062 0.070 0.030 −0.073
(0.080) (0.099) (0.077) (0.096)
Substantial gainful employment 0.025 0.035 0.001 −0.055
(0.078) (0.097) (0.074) (0.098)
Sample size 786 786 786 786
  Sample restricted to propensity score values [0.001, 0.35]
Leaving disability rolls 0.014 0.015 0.003 −0.067
(0.083) (0.082) (0.084) (0.111)
Gainful employment 0.022 0.025 0.007 0.000
(0.081) (0.079) (0.083) (0.109)
Substantial gainful employment 0.009 0.026 0.013 −0.022
(0.083) (0.078) (0.083) (0.111)
Sample size 774 774 774 774
  Sample restricted to propensity score values [0.001, 0.50]
Leaving disability rolls 0.033 0.044 0.018 0.000
(0.082) (0.085) (0.072) (0.101)
Gainful employment 0.024 0.027 −0.008 −0.017
(0.081) (0.088) (0.073) (0.097)
Substantial gainful employment −0.008 −0.005 −0.033 −0.049
(0.078) (0.085) (0.073) (0.100)
Sample size 805 805 805 805
  1. Notes: ATET denotes average treatment effect on the treated. Observations with propensity score values outside the range in square brackets are omitted from the sample used to estimate the ATET. Standard errors in parentheses. The kernel and local linear matching estimates were obtained with the Epanechnikov kernel, with bandwidths computed using cross-validation; see Table 1 for the bandwidths. Genetic matching estimates are based on single nearest neighbor matching with replacement. Standard errors for kernel and local linear matching and inverse probability weighting are obtained by bootstrapping with 1000 replications. Standard errors for genetic matching are based on Abadie and Imbens (2006).