Sentence examples for score specification from inspiring English sources

Many of the other variables in the propensity score specification are not individually statistically significant, although they are jointly significant.

The mean (median) bias is estimated over the total number of covariates used in the estimation of the propensity score specification.

The number of regressors included in the respective propensity score specification is presented in column #. bColumn CS displays the fraction of treated immigrants satisfying the common support condition on all treated immigrants in the respective sample.

The number of regressors included in the respective propensity score specification is presented in column #. b/ indicates that the number of treated individuals in the respective cell was too low to estimate treatment effects.

Table 1 Score specification for rating the binaural noise reduction algorithms Score   Explanation 80 100 Excellent No impairment is audible, great performance 60 80 Good Nice utility that mostly meets expectations 40 60 Fair Mostly acceptable, but some undesired impairments are already detected 20 40 Poor Presence of harsh impairments that leave no doubt of insufficiency 0 20 Bad No utility.

Before discussing these results, it is important to note that in the specification of the parametric models, we do not use the same set of covariates included in the propensity score model since some regressors included in the propensity score specification are correlated with the error tern of the wage equation.

The listeners received an instruction sheet including the score specifications (Table 1), and the attribute definitions with related impairments (Table 2) before the test was started.

This finding is robust to different implementations of the propensity score model specification and when conducting the sensitivity analysis of hidden bias.

It is worth noting that the role of the propensity score model specification is not to maximize the predictive capability of the model but to balance the distribution of relevant pre-treatment covariates between treated and untreated individuals.

(The flugelhorn is actually listed as "bugle" by the publisher, though in the "orchestration" list at the head of the score the specification is for "Contralto Bugle in B (Fluegelhorn)", and in the score itself, where all the other instruments are named in Italian, it is called in French and German, "Bugle C-alto (Flügelhorn)".

We suggest that analysts should focus attention on improving propensity score model specification and rely less on weight trimming to optimize propensity score weighting.