A triangular treatment effect model with random coefficients in the selection equation
E Gautier, S Hoderlein - arXiv preprint arXiv:1109.0362, 2011 - arxiv.org
This paper considers treatment effects under endogeneity with complex heterogeneity in the
selection equation. We model the outcome of an endogenous treatment as a triangular …
selection equation. We model the outcome of an endogenous treatment as a triangular …
[PDF][PDF] Estimating the distribution of treatment effects
E Gautier, S Hoderlein - arXiv preprint arXiv:1109.0362, 2013 - Citeseer
In this paper we show that the distribution of treatment effects is point identified in a model
where the outcome equation is of unrestricted form and the selection equation contains …
where the outcome equation is of unrestricted form and the selection equation contains …
Identification in Multiple Treatment Models under Discrete Variation
We develop a method to learn about treatment effects in multiple treatment models with
discrete-valued instruments. We allow selection into treatment to be governed by a general …
discrete-valued instruments. We allow selection into treatment to be governed by a general …
A finite mixture model for multivariate counts under endogenous selectivity
M Alfò, A Maruotti, G Trovato - Statistics and Computing, 2011 - Springer
We describe a selection model for multivariate counts, where association between the
primary outcomes and the endogenous selection source is modeled through outcome …
primary outcomes and the endogenous selection source is modeled through outcome …
A unified framework for efficient estimation of general treatment models
This paper presents a weighted optimization framework that unifies the binary, multivalued,
and continuous treatment—as well as mixture of discrete and continuous treatment—under …
and continuous treatment—as well as mixture of discrete and continuous treatment—under …
[PDF][PDF] Counterfactual mapping and individual treatment effects in nonseparable models with discrete endogeneity
This paper establishes nonparametric identification of individual treatment effects in a
nonseparable model with a binary endogenous regressor. The outcome variable may be …
nonseparable model with a binary endogenous regressor. The outcome variable may be …
[图书][B] Relaxing monotonicity in the identification of local average treatment effects
In heterogeneous treatment effect models with endogeneity, the identification of the local
average treatment effect (LATE) typically relies on an instrument that satisfies two …
average treatment effect (LATE) typically relies on an instrument that satisfies two …
Instrumental variables, local instrumental variables and control functions
We consider the identification of the average treatment effect in models with continuous
endogenous variables whose impact is heterogeneous. We derive a testable restriction that …
endogenous variables whose impact is heterogeneous. We derive a testable restriction that …
Threshold crossing models and bounds on treatment effects: a nonparametric analysis
A Shaikh, EJ Vytlacil - 2005 - nber.org
This paper considers the evaluation of the average treatment effect of a binary endogenous
regressor on a binary outcome when one imposes a threshold crossing model on both the …
regressor on a binary outcome when one imposes a threshold crossing model on both the …
Outcome conditioned treatment effects
S Hoderlein, Y Sasaki - 2013 - econstor.eu
This paper introduces average treatment effects conditional on the outcomes variable in an
endogenous setup where outcome Y, treatment X and instrument Z are continuous. These …
endogenous setup where outcome Y, treatment X and instrument Z are continuous. These …