Included here are two appendices. Appendix A has information on model priors, selected material on the data, and some details on computation. Appendix B contains an extended treatment of alternative measures of stress, and alternative measures of real activity, including how these measures compare to the base case model in terms of picking up the same state probabilities and, in some cases, qua...

In this paper we propose a new set of multivariate stochastic models that capture time varying seasonality within the vector innovations structural time series (VISTS) framework. These models encapsulate exponential smoothing methods in a multivariate setting. The models considered are the local level, local trend and damped trend VISTS models with an additive multivariate seasonal component. W...

This paper proposes a reduced rank regression framework for constructing coincident and leading indexes. Based on a formal definition that requires that the first differences of the leading index are the best linear predictor of the first differences of the coincident index, it is shown that the notion of polynomial serial correlation common features can be used to build these composite variabl...

abstract in this paper, income per capita convergence hypothesis is tested in selected oic countries. for this purpose, we use the time series model and univariate kpss stationary test with multiple structural breaks (carrion-i-silvestre et al. (2005)) over the period 1950-2008. the results show that most oic countries could not catch up toward usa. although because of some positive term of tra...

We build a new empirical model to estimate the global impact of an increase in volatility US monetary policy shocks. Specifically, we admit time-varying variances local structural shocks from stochastic specification. By allowing for rich dynamic interaction between endogenous variables and setting, find that interest rate uncertainty not only drives output inflation volatility, but also causes...