instrument) in multiple periods based on inverse probability weighting. Treatment selection and attrition may depend on both … endogeneity and missing outcomes. We use instrumental variables, pre-treatment characteristics, and short-term (or intermediate … we find that controlling for attrition considerably affects the effect estimates. …

endogeneity and attrition/non-response bias, using two instrumental variables. Making use of a discrete instrument for the … treatment and a continuous instrument for non-response/attrition, we identify the average treatment effect on compliers as well … as the total population and suggest non- and semiparametric estimators. We apply the latter to a randomized experiment at …

instrument) in multiple periods based on inverse probability weighting. Treatment selection and attrition may depend on both … endogeneity and missing outcomes. We use instrumental variables, pre-treatment characteristics, and short-term (or intermediate … we find that controlling for attrition considerably affects the effect estimates …

In heterogeneous treatment effect models with endogeneity, identification of the LATE typically relies on the … availability of an exogenous instrument monotonically related to treatment participation. We demonstrate that a strictly weaker … instrument …

proxy of an unobserved imperfect instrument. I show that the potential outcomes distributions are partially identified for …

are proposed: regression, propensity score and weighting estimators. Root n consistency, asymptotic normality and … attainment of the semiparametric efficiency bound are shown for our weighting estimator, which is extremely simple to implement … variable is itself confounded but also for efficiency when the instrument is valid unconditionally. Monte Carlo simulations and …

bounds on the average treatment effect when an imperfect instrument is available. As in Nevo and Rosen (2012), we assume that … the correlation between the imperfect instrument and the unobserved latent variables has the same sign as the correlation … the imperfect instrument is less endogenous than the treatment variable can help tighten the bounds. We also use the …