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A general semiparametric approach to inference with marker-dependent hazard rate models

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We examine a new general class of hazard rate models for duration data, containing a parametric and a nonparametric component. Both can be a mix of a time effect and possibly time-dependent covariate effects. A number of well-known models are special cases. In a counting process framework, a general...

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Main Authors: Berg, Gerard J. van den (Author) , Janys, Lena (Author) , Mammen, Enno (Author) , Nielsen, Jens Perch (Author)
Format: Article (Journal)
Language:English
Published: 2021
In: Journal of econometrics
Year: 2020, Volume: 221, Issue: 1, Pages: 43-67
DOI:10.1016/j.jeconom.2019.05.025
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.jeconom.2019.05.025
Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S0304407620300439
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Author Notes:Gerard. J. van den Berg, Lena Janys, Enno Mammen, Jens Perch Nielsen
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A general semiparametric approach to inference with marker-dependent hazard rate models by Berg, Gerard J. van den (Author) , Janys, Lena (Author) , Mammen, Enno (Author) , Nielsen, Jens Perch (Author) ,


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A general semiparametric approach to inference with marker-dependent hazard rate models by Berg, Gerard J. van den (Author) , Janys, Lena (Author) , Mammen, Enno (Author) , Nielsen, Jens Perch (Author) ,


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A general semiparametric approach to inference with marker-dependent hazard rate models by Berg, Gerard J. van den (Author) , Janys, Lena (Author) , Mammen, Enno (Author) , Nielsen, Jens Perch (Author) ,


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