Forecasting errors pose a serious problem of identification, often neglected in empirical applications. Any attempt of …

We propose a Bayesian factor analysis model to rank the health of localities. Mortality and morbidity variables …

identification of average treatment effects on hazard rates without model structure. We estimate these effects by kernel hazard …

using market wages. This approach implies a fundamental identification problem. We demonstrate that the identification …

We propose a method to identify bounds (i.e. set identification) on the sharing rule for a general collective household …

estimate this model it is necessary to impose strong identification restrictions. Estimation results show that education is the …

We provide new results regarding the identification of peer effects. We consider an extended version of the linear … cases, we provide easy-to-check necessary and sufficient conditions for identification. We show that endogenous and … exogenous effects are generally identified under network interaction, although identification may fail for some particular …