This paper provides conditions for identification and estimation of the conditional or unconditional average effect of a binary treatment or policy on a scalar outcome in models where treatment may be misclassified. Misclassification probabilities and the true probability of treatment are also...

When selection bias can purely be attributed to observables, several estimators have been discussed in the literature to estimate the average effect of a binary treatment or policy on a scalar outcome. Identification typically exploits the unconfoundedness of the treatment, which is verified if...

One of the lessons of the treatment effects literature is the lack of consensus about the ability of statistical and econometric methods to replicate experimental estimates. In this paper, we provide new evidence using an unusual unemployment insurance experiment that allows the identification...

The events of the 1990s, which led to the collapse of the banking sector in many countries around the world, have renewed the need to devise some preventive policies. However, the success of these preventive measures is contingent on the predictability of the crisis both in nature and extent....

The events of the 1990s, which led to the collapse of the banking sector in many countries around the world, have renewed the need to devise some preventive policies. However, the success of these preventive measures is contingent on the predictability of the crisis both in nature and extent....