A General Semiparametric Approach to Inference with Marker-Dependent Hazard Rate Models

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 marker or covariate effects. A number of well-known models are special cases. In a counting process framework, a general profile likelihood estimator is developed and the parametric component of the model is shown to be asymptotically normal and efficient.

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Year of publication:	2017
Authors:	Janys, Lena
Publisher:	Kiel, Hamburg : ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften, Leibniz-Informationszentrum Wirtschaft

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Series:	Beiträge zur Jahrestagung des Vereins für Socialpolitik 2017: Alternative Geld- und Finanzarchitekturen - Session: Treatment Effects ; G20-V1
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Conference Paper
Language:	English
Other identifiers:	hdl:10419/168077 [Handle] RePEc:zbw:vfsc17:168077 [RePEc]
Classification:	C14 - Semiparametric and Nonparametric Methods ; C41 - Duration Analysis
Source:	EconStor

Persistent link: https://www.econbiz.de/10011712590