An approximate factor model of high dimension has two key features. First, the idiosyncratic errors are correlated and heteroskedastic over both the cross-section and time dimensions; the correlations and heteroskedasticities are of unknown forms. Second, the number of variables is comparable or...

In this paper we introduce a structural non-linear time series model for joint estimation of capacity and its utilisation, thereby providing the statistical underpinnings to a measurement problem that has received ad hoc solutions, often underlying arbitrary assumptions. The model we propose is...

Using data for U.S. and Canada, we find evidence of the time-varying nature of risk premia, which are obtained as difference between long term interest rates and their expected values. We then apply Kalman filtering to extract the conditional variance of term premia prediction errors; our...

This work extends the strand of literature that examines the relation between the term structure of interest rates and macroeconomic variables. The yield curve is summarized by few latent factors (level, slope, and curvature) which are obtained through Kalman filtering. In this paper, we address...

In the paper, a one-sector neoclassical model with stochastic growth has been constructed. The key concept of economic maturity is well-defined in the abstract model economy, and also a thorough characterization of the minimum time needed to economic maturity is supplied for the first time....

In a recent paper, Duersch et.al (2012) showed that in a rather broad class of repeated symmetric two-player games, a player who uses the simple "imitate-if-better" heuristic cannot be subject to a money pump. In this paper, we extend the analysis to games with randomly perturbed payoffs and we...