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Applied work often studies the effect of a binary variable ("treatment") using linear models with additive effects. I study the interpretation of the OLS estimands in such models when treatment effects are heterogeneous. I show that the treatment coefficient is a convex combination of two...
Persistent link: https://www.econbiz.de/10012227296
Applied work often studies the effect of a binary variable (“treatment”) using linear models with additive effects. I study the interpretation of the OLS estimands in such models when treatment effects are heterogeneous. I show that the treatment coefficient is a convex combination of two...
Persistent link: https://www.econbiz.de/10012223869
Applied work often studies the effect of a binary variable ("treatment") using linear models with additive effects. I study the interpretation of the OLS estimands in such models when treatment effects are heterogeneous. I show that the treatment coefficient is a convex combination of two...
Persistent link: https://www.econbiz.de/10012269961
conclusions change dramatically after allowing for heterogeneity in effects. …
Persistent link: https://www.econbiz.de/10011387124
conclusions change dramatically after allowing for heterogeneity in effects. …
Persistent link: https://www.econbiz.de/10011401759
It is standard practice in applied work to study the effect of a binary variable ("treatment") on an outcome of interest using linear models with additive effects. In this paper I study the interpretation of the ordinary and two-stage least squares estimands in such models when treatment effects...
Persistent link: https://www.econbiz.de/10011924924
It is standard practice in applied work to study the effect of a binary variable (“treatment”) on an outcome of interest using linear models with additive effects. In this paper I study the interpretation of the ordinary and two-stage least squares estimands in such models when treatment...
Persistent link: https://www.econbiz.de/10011931831
In this paper I provide new evidence on the implications of treatment effect heterogeneity for least squares estimation …
Persistent link: https://www.econbiz.de/10011260085
This paper implements a method to identify and estimate treatment effects in a dynamic setting where treatments may occur at any point in time. By relating the standard matching approach to the timing-of-events approach, it demonstrates that effects of the treatment on the treated at a given...
Persistent link: https://www.econbiz.de/10005761842
This paper suggests a causal framework for disentangling individual level treatment effects and interference effects, i.e., general equilibrium, spillover, or interaction effects related to treatment distribution. Thus, the framework allows for a relaxation of the Stable Unit Treatment Value...
Persistent link: https://www.econbiz.de/10011653376