This paper introduces a new regression model - Markov-switching mixed data sampling (MS-MIDAS) - that incorporates regime changes in the parameters of the mixed data sampling (MIDAS) models and allows for the use of mixed-frequency data in Markov-switching models. After a discussion of...

Typical analyses of trends and cycles take as given some (one) observable economic variable in whose time path a researcher wishes to find trend and cycle movements. But individual sectors and regions in aggregate economies move neither perfectly with nor independently of each other -- why is it...

This Paper reviews recent econometric work on factor models in large cross-sections of time series. In this literature, traditional factor analysis is adapted to develop parsimonious estimation methods for high dimension time series models. The review covers problems of consistency and rates –...

Forecasting models for output are presented to throw light on monetary transmission. Recent research finds multistep forecasting superior to recursive forecasting from a VAR model when structural breaks are present; there are important political and policy regime breaks in South Africa. The...

In this paper we develop a mixed frequency dynamic factor model featuring stochastic shifts in the volatility of both the latent common factor and the idiosyncratic components. We take a Bayesian perspective and derive a Gibbs sampler to obtain the posterior density of the model parameters. This...

The collapse of the global economy in 2008, following the outbreak of the financial crisis, and the ensuing economic developments of the so-called Great Recession (GR) led many economists to suggest that the Great Moderation (GM) had, indeed, come to an end. This paper offers evidence that the...

We set out a model to compute short-term forecasts of the euro area GDP growth in real-time. To allow for forecast evaluation, we construct a real-time data set that changes for each vintage date and includes the exact information that was available at the time of each forecast. With this data...

This Paper is an exercise in dating the euro area business cycle on a monthly basis. We construct several monthly European real GDP series, and then apply the Bry-Boschan (1971) procedure. Using this method we identify four business cycles. Studying further indicators of business activity, we...

The debate on the forecasting ability of non-linear models has a long history, and the Great Recession episode provides us with an interesting opportunity for a reassessment of the forecasting performance of several classes of non-linear models. We conduct an extensive analysis over a large...

This paper develops a method for producing current-quarter forecasts of GDP growth with a (possibly large) range of available within-the-quarter monthly observations of economic indicators, such as employment and industrial production, and financial indicators, such as stock prices and interest...