A flexible decomposition of a time series into stochastic cycles under possible non-stationarity is specified, providing both a useful data analysis tool and a very wide model class. A Bayes procedure using Markov Chain Monte Carlo (MCMC) is introduced with a model averaging approach which...

The purpose of this paper is to question the traditional conventional view on the exchange rate targeting that real shocks have

Infra-monthly time series have increasingly appeared on the radar of official statistics in recent years, mostly as a consequence of a general digital transformation process and the outbreak of the COVID-19 pandemic in 2020. Many of those series are seasonal and thus in need for seasonal...

Die gesamtwirtschaftliche Produktivitätsentwicklung in Deutschland ist nach dem Wiedervereinigungsboom im internationalen Vergleich deutlich eingebrochen. Nicht nur gegenüber den USA und Schwellenländern wie Südkorea, sondern auch im Vergleich zu anderen EU-Staaten fiel Deutschland seitdem...

We follow a Beveridge-Nelson like time series decomposition method (into trend, business cycle and irregular components), and examine a stylized model of price inflation determination using the Czech data. We characterize the estimated components of CPI, IPPI and import inflations, together with...

A flexible decomposition of a time series into stochastic cycles under possible non-stationarity is specified, providing both a useful data analysis tool and a very wide model class. A Bayes procedure using Markov Chain Monte Carlo (MCMC) is introduced with a model averaging approach which...