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Nonparametric estimation in case of endogenous selection

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This paper addresses the problem of estimation of a nonparametric regression function from selectively observed data when selection is endogenous. Our approach relies on independence between covariates and selection conditionally on potential outcomes. Endogeneity of regressors is also allowed for....

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Main Authors: Breunig, Christoph (Author) , Mammen, Enno (Author) , Simoni, Anna (Author)
Format: Article (Journal)
Language:English
Published: 2018
In: Journal of econometrics
Year: 2018, Volume: 202, Issue: 2, Pages: 268-285
DOI:10.1016/j.jeconom.2017.11.002
Online Access:Verlag, Volltext: http://dx.doi.org/10.1016/j.jeconom.2017.11.002
Verlag, Volltext: http://www.sciencedirect.com/science/article/pii/S0304407617302221
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Author Notes:Christoph Breunig, Enno Mammen, Anna Simoni
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Nonparametric estimation in case of endogenous selection by Breunig, Christoph (Author) , Mammen, Enno (Author) , Simoni, Anna (Author) ,


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Nonparametric estimation in case of endogenous selection by Breunig, Christoph (Author) , Mammen, Enno (Author) , Simoni, Anna (Author) ,


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Nonparametric estimation in case of endogenous selection by Breunig, Christoph (Author) , Mammen, Enno (Author) , Simoni, Anna (Author) ,


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