Based on empirical evidence, a simple model of oil exploration and discovery is deyeloped, which emphasizes the stochastics of the discovery process and its informational aspects. Open-loop-feedback, m-measurement-feedback and closed-loop optimal exploratory strategies are derived. In...

This paper develops a Markov-Switching vector autoregressive model that allows for imperfect synchronization of cyclical regimes in multiple variables, due to phase shifts of a single common cycle. The model has three key features: (i) the amount of phase shift can be different across regimes...

We propose a new approach to deal with structural breaks in time series models. The key contribution is an alternative dynamic stochastic specification for the model parameters which describes potential breaks. After a break new parameter values are generated from a so-called baseline prior...

"The authors use a dynamic factor model estimated via Bayesian methods to disentangle the relative importance of the common component in the Office of Federal Housing Enterprise Oversight's house price movements from state- or region-specific shocks, estimated on quarterly state-level data from...