Finding effects of a binary treatment D on a right-censored duration Y with covariates X is an important issue in survival/failure duration analysis. This paper shows that the ratio, not the difference, of the survival probabilities of the treatment and control groups solves the random censoring...

In this paper, we propose a method that enables researchers to estimate the treatment effect averaged over an entire population using an instrumental variable (IV) in a setting where a running variable fully determines the treatment. We apply our method to the estimation of the incumbency effect...

We show that the main nonparametric identification finding of Abbring and Van den Berg (2003b, Econometrica) for the effect of a timing-chosen treatment on an event duration of interest does not hold. The main problem is that the identification is based on the competing-risks identification...

We consider regression discontinuity (RD) design with two, not one, running/forcing variables for a single treatment. The main identified entity is a 'double-difference-based ratio', where the numerator is a 'local difference in differences (DD)' for the response, and the denominator is a local...

Individual responses to a treatment D=0,1 differ, depending on covariates X. Averaging such a heterogeneous effect is usually done with the density of X, but the average with `overlap weight (OW)' is done "surreptitiously" with X controlled, where OW is the normalized version of PS×(1-PS) with...