English, Article, Journal or magazine article edition: Non-parametric Identification of the Mixed Hazards Model with Interval-Censored Durations Christian N. Brinch

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Bookmark: http://trove.nla.gov.au/version/41462
Physical Description
  • preprint
Language
  • English

Edition details

Title
  • Non-parametric Identification of the Mixed Hazards Model with Interval-Censored Durations
Author
  • Christian N. Brinch
Physical Description
  • preprint
Notes
  • 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.
  • duration analysis; interval-censoring; non-parametric identification
  • RePEc:ssb:dispap:539
Language
  • English
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