Non-parametric Identification of the Mixed Hazards Model with Interval-Censored Durations
AbstractEconometric 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.
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Bibliographic InfoPaper provided by Research Department of Statistics Norway in its series Discussion Papers with number 539.
Date of creation: Apr 2008
Date of revision:
duration analysis; interval-censoring; non-parametric identification;
Find related papers by JEL classification:
- C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
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