A copula duration model with dependent states and spells
提出一种嵌套阿基米德Copula模型，允许不可观测异质性与可观测协变量相关，并应用于劳动力市场转换分析，发现传统马尔可夫链模型存在显著偏差。
A nested Archimedean copula model for dependent states and spells is introduced and the link to a classical survival model with frailties is established. The model relaxes an important restriction of classical survival models as unobservable heterogeneities are permitted to be correlated with the observable covariates. Its modular structure has practical advantages as the different components can be separately specified and estimation can be done sequentially or separately. This makes the model versatile and adaptable in empirical work. An application to labour market transitions with linked administrative data supports the need for a flexible specification of the dependence structure and the model for the marginal survivals. The conventional Markov Chain Model is shown to give sizeably biased results in the application.