Showing 1 - 10 of 35,506
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.
Persistent link: https://www.econbiz.de/10010857302
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.
Persistent link: https://www.econbiz.de/10011123005
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.
Persistent link: https://www.econbiz.de/10011997498
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.
Persistent link: https://www.econbiz.de/10011271789
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 paper is on thesimultaneous estimation of parameters related to the stochasticprocesses of the mean part...
Persistent link: https://www.econbiz.de/10010324992
We estimate sectoral spillovers around the Great Moderation with the help of forecast error variance decomposition tables. Obtaining such tables in high dimensions is challenging because they are functions of the estimated vector autoregressive coefficients and the residual covariance matrix. In...
Persistent link: https://www.econbiz.de/10014536849
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 paper is on thesimultaneous estimation of parameters related to the stochasticprocesses of the mean part...
Persistent link: https://www.econbiz.de/10011327834
This paper uses factor analytic methods to decompose industrial production (IP) into components arising from aggregate shocks and idiosyncratic sector-specific shocks. An approximate factor model finds that nearly all (90%) of the variability of quarterly growth rates in IP are associated with...
Persistent link: https://www.econbiz.de/10013089448
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...
Persistent link: https://www.econbiz.de/10010907529
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>
Persistent link: https://www.econbiz.de/10011255780