By Dr. Markus Frölich (auth.)
Policy assessment and programme selection are very important instruments for knowledgeable decision-making, for the management of energetic labour marketplace programmes, education programmes, university subsidies, rehabilitation programmes and so forth. while the evaluate of programmes and regulations is especially concerned about an total evaluate of influence, merits and prices, programme selection considers an optimum allocation of people to the programmes. This booklet surveys capability review innovations for guidelines with a number of programmes and discusses evaluate and remedy selection in a coherent framework. ideas for selecting acceptable evaluate estimators are derived. additionally, a semiparametric estimator of optimum therapy selection is constructed to aid within the optimum allocation of participants.
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Extra info for Programme Evaluation and Treatment Choice
2 +P;:j:~2) (E[yr _ YSIX 0"~(X)p·j .. (x) [ I 1 A remarkable result of Hahn (1998) is that a projection on the propensity score (Le. matching on the propensity score) does not change the variance bound and that knowledge of the true propensity score is not informative for estimating average treatment effects. 37) is the same regardless of whether the propensity score is known. (z)P· "+I,(z)p,jra I .. (",)P(D-s) - P'(:Z;)+P'(:z;) - P x . (",)P(D-r)+I,(z)P(D-s) - 40 2 Programme Evaluation and Treatment Choice - An Overview lead to any reduction in dimensionality.
Even in the case where two estimators generate the same point estimates, the interpretation of these estimates depends on their variability, such that the estimate according to the more precise estimator is more likely to be statistically significant. Since insignificant programme effects are often interpreted as 'no effect', the choice of the estimator affects ceteris paribus the odds of the evaluation study's conclusions. An important element in the estimation of programme effects is the conditional expected potential outcome ys weighted by the distribution of X among the participants in programme r (EY)slr = !
As a consequence, propensity score matching can also be used in the difference-in-difference or predictable-bias evaluation approach, which is often pursued when the conditional independence assumption appears to be controversial. 12) can be estimated by propensity score matching as E [E [Yt0 = 0] - YrIX,D - Yrlpolro(X),D =E [E [Yt0 = E [Yt°lpolro(x),D = J -J ID = r] = 0] ID = r] 0] . fpolroID=r(pOlrO). dpOlrO E [Yrlpolro(x), D = 0] . fpolroID=r(pOlrO) . dpOlrO, where pOlrO is the appropriate propensity score.
Programme Evaluation and Treatment Choice by Dr. Markus Frölich (auth.)