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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: Book/Monograph Working Paper
Language:English
Published: Munich, Germany Collaborative Research Center Transregio 190 2017
Series:Discussion paper no. 58 (December 20, 2017)
In: Discussion paper (no. 58 (December 20, 2017))

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Graue Literatur
Online Access:Resolving-System, kostenfrei, Volltext: http://hdl.handle.net/10419/185728
Verlag, kostenfrei, Volltext: https://rationality-and-competition.de/wp-content/uploads/discussion_paper/58.pdf
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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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