terms that the construction of a credible counterfactual situation is at the heart of the formal statistical evaluation … problem. It introduces several approaches, based on both experiments and on non-experimental data, that have been proposed in …

, the construction of a credible counterfactual situation is at the heart of the formal statistical evaluation problem. Even … when controlled experiments are not a viable option, appropriate approaches might succeed where traditional empirical …

, the construction of a credible counterfactual situation is at the heart of the formal statistical evaluation problem. Even … when controlled experiments are not a viable option, appropriate approaches might succeed where traditional empirical …

occurrence of selection bias. When using non-experimental data, different evaluation approaches can be thought of. The aim of …

terms that the construction of a credible counterfactual situation is at the heart of the formal statistical evaluation … problem. It introduces several approaches, based on both experiments and on non-experimental data, that have been proposed in …

allow for the opposite. Experimental results are mixed, and so far have not been corrected for publication bias and model … obtained. We use novel nonlinear techniques to correct for publication bias and em- ploy Bayesian model averaging to account … for model uncertainty. The corrected estimates are zero or tiny across contexts of field experiments, including …

effects of error propagation on the bias and mean squarederror of the meta-estimator, and the size and the power of …