Arbeitspapier

Non-parametric Identification of the Mixed Hazards Model with Interval-Censored Durations

Econometric duration data are typically interval-censored, that is, not directly observed, but observed to fall within a known interval. Known non-parametric identification results for duration models with unobserved heterogeneity rely crucially on exact observation of durations at a continuous scale. Here, it is established that the mixed hazards model is non-parametrically identified through covariates that vary over time within durations as well as between observations when durations are interval-censored. The results hold for the mixed proportional hazards model as a special case.

Language
Englisch

Bibliographic citation
Series: Discussion Papers ; No. 539

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

Event
Geistige Schöpfung
(who)
Brinch, Christian N.
Event
Veröffentlichung
(who)
Statistics Norway, Research Department
(where)
Oslo
(when)
2008

Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

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

Time of origin

  • 2008

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