This dissertation focuses on describing and explaining business cycle dynamics. Motivated by the extraordinary strong economic downturn in 2008/2009, it emphasis the importance of modeling nonlinearities. This thesis should be regarded as a contribution to applied econometrics and can be...

Purpose – Recent research has found significant relationships between internet search volume and real estate markets. This paper aims to examine whether Google search volume data can serve as a leading sentiment indicator and are able to predict turning points in the US housing market. One of...

We provide methods for forecasting variables and predicting turning points in panel Bayesian VARs. We specify a flexible model which accounts for both interdependencies in the cross section and time variations in the parameters. Posterior distributions for the parameters are obtained for a...

The cyclical properties of the annual growth of the Baltic Dry Index (BDI) and their implications for short-to-medium term forecasting performance are investigated. We show that the BDI has a cyclical pattern which has been stable except for a period after the 2007 crisis. This pattern has...

Purpose: The purpose of this study is to detect turning points and phases of expansions and recessions of the Korean restaurant industry. Design/methodology/approach: This study investigated long-term economic trends in the restaurant industry cycle and growth cycle by utilizing yearly data...

In this paper the business cycles of nine OECD-countries are identified by applying the Christiano-Fitzgerald bandpass filter. Turning points, recession and expansion phases and other descriptive statistics are derived from these business cylce indicators. Moreover, the international linkage...

In this paper we provide an overview of recent developments in the methodology for the construction of composite coincident and leading indexes, and apply them to the UK. In particular, we evaluate the relative merits of factor based models and Markov switching specifications for the...

We provide methods for forecasting variables and predicting turning points in panel Bayesian VARs. We specify a flexible model which accounts for both interdependencies in the cross section and time variations in the parameters. Posterior distributions for the parameters are obtained for a...