The Identifiability of the Proportional Hazard Model
给出了存在未观测个体异质性时Cox比例风险模型的新可识别条件，并与Elbers和Ridder的条件比较，还给出了无协变量时参数风险模型的可识别条件。
This paper presents new identifiability conditions for the Cox proportional hazard model for duration data when unobserved person specific variables are present. We compare our conditions with those presented by Elbers and Ridder. We also present identifiability conditions for a rich class of parametric hazard models without regressor variables.