e(h_mserd) MSE-optimal bandwidth selector for the RD treatment effect estimator.
e(h_msetwo_l) MSE-optimal bandwidth selectors below the cutoff for the RD treatment effect estimator.
e(h_msetwo_r) MSE-optimal bandwidth selectors above the cutoff for the RD treatment effect estimator.
e(h_msesum) MSE-optimal bandwidth selector for the sum of regression estimates.
e(h_msecomb1) for min(mserd,msesum).
e(h_msecomb2_l) for median(msetwo,mserd,msesum), below the cutoff.
e(h_msecomb2_r) for median(msetwo,mserd,msesum), above the cutoff.
e(h_cerrd) CER-optimal bandwidth selector for the RD treatment effect estimator.
e(h_certwo_l) CER-optimal bandwidth selectors below the cutoff for the RD treatment effect estimator.
e(h_certwo_r) CER-optimal bandwidth selectors above the cutoff for the RD treatment effect estimator.
e(h_cersum) CER-optimal bandwidth selector for the sum of regression estimates.
e(h_cercomb1) for min(cerrd,cersum).
e(h_cercomb2_l) for median(certwo_l,cerrd,cersum), below the cutoff.
e(h_cercomb2_r) for median(certwo_r,cerrd,cersum), above the cutoff.
e(b_mserd) MSE-optimal bandwidth selector for the bias of the RD treatment effect estimator.
e(b_msetwo_l) MSE-optimal bandwidth selectors below the cutoff for the bias of the RD treatment effect estimator.
e(b_msetwo_r) MSE-optimal bandwidth selectors above the cutoff for the bias of the RD treatment effect estimator.
e(b_msesum) MSE-optimal bandwidth selector for the sum of regression estimates for the bias of the RD treatment effect estimator.
e(b_msecomb1) for min(mserd,msesum).
e(b_msecomb2_l) for median(msetwo,mserd,msesum), below the cutoff.
e(b_msecomb2_r) for median(msetwo,mserd,msesum), above the cutoff.
e(b_cerrd) CER-optimal bandwidth selector for the bias of the RD treatment effect estimator.
e(b_certwo_l) CER-optimal bandwidth selectors below the cutoff for the bias of the RD treatment effect estimator.
e(b_certwo_r) CER-optimal bandwidth selectors above the cutoff for the bias of the RD treatment effect estimator.
e(b_cersum) CER-optimal bandwidth selector for the sum of regression estimates for the bias of the RD treatment effect estimator.
e(b_cercomb1) for min(cerrd,cersum).
e(b_cercomb2_l) for median(certwo_l,cerrd,cersum), below the cutoff.
e(b_cercomb2_r) for median(certwo_r,cerrd,cersum), above the cutoff.
Macros
e(runningvar) name of running variable
e(outcomevar) name of outcome variable
e(clustvar) name of cluster variable
e(covs) name of covariates
e(vce_select) vcetype specified in vce()
e(bwselect) bandwidth selection choice
e(kernel) kernel choice
这是命令说明
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