Semiparametric estimation with generated covariates

We study a general class of semiparametric estimators when the in nite-dimensional nuisance parameters include a conditional expectation function that has been estimated nonparametrically using generated covariates. Such estimators are used frequently to e.g. estimate nonlinear models with endogenou...

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Bibliographic Details
Main Authors: Mammen, Enno (Author) , Rothe, Christoph (Author) , Schienle, Melanie (Author)
Format: Book/Monograph Working Paper
Language:English
Published: Berlin SFB 649, Economic Risk 2014
Series:SFB 649 discussion paper 2014-043
In: SFB 649 discussion paper (2014-043)

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Online Access:Verlag, Volltext: http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2014-043.pdf
Download aus dem Internet, Stand: 15.09.2014, Volltext: http://hdl.handle.net/10419/103778
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Author Notes:Enno Mammen, Christoph Rothe, and Melanie Schienle
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Semiparametric estimation with generated covariates by Mammen, Enno (Author) , Rothe, Christoph (Author) , Schienle, Melanie (Author) ,


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Semiparametric estimation with generated covariates by Mammen, Enno (Author) , Rothe, Christoph (Author) , Schienle, Melanie (Author) ,


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Semiparametric estimation with generated covariates by Mammen, Enno (Author) , Rothe, Christoph (Author) , Schienle, Melanie (Author) ,


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Book/Monograph Working Paper Online Resource
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Semiparametric estimation with generated covariates by Mammen, Enno (Author) , Rothe, Christoph (Author) , Schienle, Melanie (Author) ,


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Book/Monograph Working Paper Online Resource