Showing 1 - 10 of 2,847
In this paper, we investigate what can be learned about average counterfactual outcomes when it is assumed that treatment response functions are smooth. The smoothness conditions in this paper amount to assuming that the differences in average counterfactual outcomes are bounded under different...
Persistent link: https://www.econbiz.de/10010336471
In this paper, we investigate what can be learned about average counterfactual outcomes as well as average treatment effects when it is assumed that treatment response functions are smooth. We obtain a set of new partial identification results for both the average treatment response and the...
Persistent link: https://www.econbiz.de/10011994415
Persistent link: https://www.econbiz.de/10012166843
Instrumental variables (IVs) can be used to construct estimators of exposure effects on the outcomes of studies affected by non-ignorable selection of the exposure. Estimators which fail to adjust for the effects of non-ignorable selection will be biased and inconsistent. Such situations...
Persistent link: https://www.econbiz.de/10008524038
Persistent link: https://www.econbiz.de/10014471452
In this paper, we investigate what can be learned about average counterfactual outcomes when it is assumed that treatment response functions are smooth. The smoothness conditions in this paper amount to assuming that the differences in average counterfactual outcomes are bounded under different...
Persistent link: https://www.econbiz.de/10010368182
interval that contains the true causal effect and whose bounds are arbitrarily sharp, i.e., practically attainable. We show … experimentally that our bounds can be tighter than those obtained by the method of Ding and VanderWeele, which, moreover, requires to …
Persistent link: https://www.econbiz.de/10014610920
This paper presents a method of calculating sharp bounds on the average treatment effect using linear programming under … departure from identifying assumptions may substantially widen the bounds on average treatment effects. Allowing for a small …
Persistent link: https://www.econbiz.de/10011445770
In this paper, we investigate what can be learned about average counterfactual outcomes as well as average treatment effects when it is assumed that treatment response functions are smooth. We obtain a set of new partial identification results for both the average treatment response and the...
Persistent link: https://www.econbiz.de/10012215340
This paper presents a method of calculating sharp bounds on the average treatment effect using linear programming under … departure from identifying assumptions may substantially widen the bounds on average treatment effects. Allowing for a small …
Persistent link: https://www.econbiz.de/10011380632