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Keywords:

  • Duration analysis;
  • Interval-censoring;
  • Non-parametric identification

Summary  This note presents identification results for the mixed proportional hazards model when duration data are interval-censored. Earlier positive results on identification under interval-censoring require both parametric specification 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 identified 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.