The aim of this paper is to evaluate the impact of using popular business cycle indicators on the forecasts of industry production index. Research is conducted on Polish economy, by using methodology proposed by M. Klein.

The aim of this paper is to evaluate the impact of using popular business cycle indicators on the forecasts of industry production index. Research is conducted on Polish economy, by using methodology proposed by M. Klein.

The aim of this paper is to evaluate the impact of popular business cycle indicators on the forecasts of industry production index. Research is conducted on Polish economy, by using methodology proposed by Mathias Klein.

Since the mid-2000s, Japan's industrial production (IP) has been characterized by increasing volatility. To examine the background to this, we apply the structural factor analysis developed by Foerster, Sarte, and Watson (2011) and decompose variations in Japan's IP into aggregate and sectoral...

This discussion paper led to an article in <I>Statistica Neerlandica</I> (2003). Vol. 57, issue 4, pages 439-469.<P> The linear Gaussian state space model for which the common variance istreated as a stochastic time-varying variable is considered for themodelling of economic time series. The focus of this...</p></i>

The linear Gaussian state space model for which the common variance is treated as a stochastic time-varying variable is considered for the modelling of economic time series. The focus of this paper is on the simultaneous estimation of parameters related to the stochastic processes of the mean...

This paper studies the nonlinear adjustment between industrial production and carbon prices – coined as ‘the carbon-macroeconomy relationship’ – in the EU 27. We model carbon price returns and industrial production as nonlinear and state-dependent, with dynamics depending on the sign and...

This paper studies the nonlinear adjustment between industrial production and carbon prices – coined as ‘the carbon-macroeconomy relationship’ – in the EU 27. We model carbon price returns and industrial production as nonlinear and state-dependent, with dynamics depending on the sign and...

By applying the structural factor analysis developed by Foerster et al. (2011), we decompose the fluctuations of Japan’s industrial production (IP) into sectoral shocks and aggregate shocks, taking input–output relationships between sectors into account. Our results show that, except for the...

Since the mid-2000s, Japan's industrial production (IP) has been characterized by increasing volatility. To examine the background to this, we apply the structural factor analysis developed by Foerster, Sarte, and Watson (2011) and decompose variations in Japan's IP into aggregate and sectoral...