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Treatment evaluation with multiple outcome periods under endogeneity and attrition
Frölich, Markus; Huber, Martin - 2014
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. …
Persistent link: https://www.econbiz.de/10010249397
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Endogeneity and non-response bias in treatment evaluation : nonparametric identification of causal effects by instruments
Fricke, Hans; Frölich, Markus; Huber, Martin; Lechner, … - 2015
Persistent link: https://www.econbiz.de/10011409080
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Endogeneity and Non-Response Bias in Treatment Evaluation : Nonparametric Identification of Causal Effects by Instruments
Fricke, Hans - 2015
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 …
Persistent link: https://www.econbiz.de/10013013571
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Endogeneity and Non-Response Bias in Treatment Evaluation: Nonparametric Identification of Causal Effects by Instruments
Fricke, Hans; Frölich, Markus; Huber, Martin; Lechner, … - 2015
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 …
Persistent link: https://www.econbiz.de/10011401691
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A comparison of two qantile models with endogeneity
Wüthrich, Kaspar - 2014
This paper analyzes estimators based on the instrumental variable quantile regression (IVQR) model (Chernozhukov and Hansen, 2004, 2005, 2006) under the local quantile treatment effects (LQTE) framework (Abadie et al., 2002). I show that the quantile treatment effect (QTE) estimators in the IVQR...
Persistent link: https://www.econbiz.de/10010437770
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Treatment Evaluation with Multiple Outcome Periods under Endogeneity and Attrition
Frölich, Markus; Huber, Martin - 2014
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. …
Persistent link: https://www.econbiz.de/10010333307
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Treatment Evaluation with Multiple Outcome Periods under Endogeneity and Attrition
Frölich, Markus; Huber, Martin - Institute for the Study of Labor (IZA) - 2014
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. …
Persistent link: https://www.econbiz.de/10010747353
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Heterogeneous treatment effects with mismeasured endogenous treatment
Ura, Takuya - In: Quantitative economics : QE ; journal of the … 9 (2018) 3, pp. 1335-1370
the sharp identified set for the local average treatment effect under the exclusion restriction of an instrument and the … deterministic monotonicity of the true treatment in the instrument. Even allowing for general measurement error (e.g., the …
Persistent link: https://www.econbiz.de/10011994692
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Using instrumental variables to establish causality : even with observational data, causality can be recovered with the help of instrumental variables estimation
Becker, Sascha O. - 2016
Randomized control trials are often considered the gold standard to establish causality. However, in many policy-relevant situations, these trials are not possible. Instrumental variables affect the outcome only via a specific treatment; as such, they allow for the estimation of a causal effect....
Persistent link: https://www.econbiz.de/10011449458
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Nonparametric Bounds on Treatment Effects with Imperfect Instruments
Ban, Kyunghoon; Kédagni, Désiré - 2020
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 …
Persistent link: https://www.econbiz.de/10014092605