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
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Englisch
- Bibliographic citation
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Series: Discussion Papers ; No. 600
- Classification
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Wirtschaft
Duration Analysis; Optimal Timing Strategies
- Subject
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duration analysis
interval-censoring
non-parametric identication
- Event
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Geistige Schöpfung
- (who)
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Brinch, Christian N.
- Event
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Veröffentlichung
- (who)
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Statistics Norway, Research Department
- (where)
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Oslo
- (when)
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2009
- Handle
- Last update
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10.03.2025, 11:43 AM CET
Data provider
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Object type
- Arbeitspapier
Associated
- Brinch, Christian N.
- Statistics Norway, Research Department
Time of origin
- 2009