Arbeitspapier

Non-parametric identication of the mixed proportional hazards model with interval-censored durations

This note presents identication results for the mixed proportional hazards model when duration data are interval-censored. Earlier positive results on identication under intervalcensoring require both parametric specication on how covariates enter the hazard functions and assumptions of unbounded support for covariates. New results provided here show how one can dispense with both of these assumptions. The mixed proportional hazards model is non-parametrically identied with interval-censored duration data, provided covariates have support on an open set and the hazard function is a non-constant continuous function of covariates.

Language
Englisch

Bibliographic citation
Series: Discussion Papers ; No. 600

Classification
Wirtschaft
Duration Analysis; Optimal Timing Strategies
Subject
duration analysis
interval-censoring
non-parametric identication

Event
Geistige Schöpfung
(who)
Brinch, Christian N.
Event
Veröffentlichung
(who)
Statistics Norway, Research Department
(where)
Oslo
(when)
2009

Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Arbeitspapier

Associated

  • Brinch, Christian N.
  • Statistics Norway, Research Department

Time of origin

  • 2009

Other Objects (12)