Flexible parametric estimation of duration and competing risk models
提出一种灵活参数比例风险模型，基线风险非参数化而协变量效应参数化，并加入参数异质性；同时构建灵活参数竞争风险模型，允许风险间无限制相关。利用失业持续时间数据，发现失业保险耗尽有重要影响，且新工作和召回两类风险的风险率显著不同。
Abstract In this paper we specify and estimate a flexible parametric proportional hazards model. The model specification is flexibly parametric in the sense that the baseline hazard is non parametric while the effect of the covariates takes a particular functional form. We also add parametric heterogeneity to the underlying hazard model specification. We specify a flexible parametric proportional competing risks model which permits unrestricted correlation among the risks. Unemployment duration data are then analysed using the flexible parametric duration and competing risks specifications. We find an important effect arising from the exhaustion of unemployment insurance and significantly different hazards for the two types of risks, new jobs and recalls.