Sentence examples for matching estimators are from inspiring English sources

If there is a hidden bias, matching estimators are not robust (Rosenbaum 2002).

If there is selection bias, matching estimators are not robust (Rosenbaum 2002).

Different matching estimators are generated by varying the choice of w i, j).

Local linear and kernel matching estimators are special cases of the general class of estimators that uses local polynomial regression to estimate the (conditional) expected value of the counterfactual outcome (Heckman et al. 1997).

Results from all four matching estimators are reported in each panel.

Results are presented in Table 3. Table 3 is subdivided into three panels (Movers & Stayers, Movers, Stayers) and results from all four matching estimators are reported in each panel.

The basic idea with matching estimators is that we try to find a 'twin' for each individual taking treatment.

The Becker and Ichino (2002) kernel matching estimator is not coded in the same manner as its counterpart in the psmatch2 ado file we use to obtain the results presented in Tables 7 and 8.

In order to get the best matching estimators for matching the treatment and control households in the common support region, the nearest neighbour, caliper and kernel matching estimators were tested (Table 8).

When N was set at 40, the PS matching estimators were either similarly or even less biased than the IPTW estimators.

The kernel weights derived from the matching estimator were used as probability weights in estimation of the hurdle model.