We investigate autoregressive approximations of multiple frequency I(1) processes. The underlying data generating process is assumed to allow for an infinite order autoregressive representation where the coefficients of the Wold representation of the suitably filtered process satisfy mild...

We investigate autoregressive approximations of multiple frequency I(1) processes, of which I(1) processes are a special class. The underlying data generating process is assumed to allow for an infinite order autoregressive representation where the coefficients of the Wold representation of the...

Reduced rank regression (RRR) models with time varying heterogeneity are considered. Standard information criteria for selecting cointegrating rank are shown to be weakly consistent in semiparametric RRR models in which the errors have general nonparametric short memory components and shifting...

Time series data affect many aspects of our lives. This paper highlights ten things we should all know about time series, namely: a good working knowledge of econometrics and statistics, an awareness of measurement errors, testing for zero frequency, seasonal and periodic unit roots, analysing...

This paper studies business cycle interdependence among the industrialized countries since 1958. Using the spillover index methodology recently proposed by Diebold and Yilmaz (2009) and based on the generalized VAR framework, I develop an alternative measure of comovement of macroeconomic...

This paper studies the interaction between the business cycle and the credit market. A first result is that the business cycle has procyclical effects on different types of credit (i.e., consumer, commercial and mortgage loans). The results area obtained through the identification of structural...