Trends and cyclical components in economic time series are modeled in a Bayesian framework. This enables prior notions about the duration of cycles to be used, while the generalized class of stochastic cycles employed allows the possibility of relatively smooth cycles being extracted. The...

The output gap plays a crucial role in thinking of many inflation targeting central banks yet, the real time estimates of the output gap undergo substantial revisions as more data become available. In this paper, we use the state space framework to augment the simple Hodrick-Prescott filter with...

This paper uses the Kalman filter to estimate potential output as a latent process. We estimate two Dynamic Linear Models, comparing the results obtained through a traditional and a New Keynesian model. We verify that the traditional measures of output gap, even if usually applied in the...

Several recent studies have used multivariate unobserved components models to identify the output gap and the non-accelerating inflation rate of unemployment. A key assumption of these models is that one common cycle component, such as the output gap, drives the cyclical fluctuations in all...

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...

In this paper we propose a simple model to forecast industrial production in Italy. We show that the forecasts produced using the model outperform some popular forecasts as well as those stemming from a trading days- and outlierrobust ARIMA model used as a benchmark. We show that the use of...

In this paper we propose a relatively simple procedure to predict Euro-zone industrial production using mostly data derived from the business surveys of the three major economies within the European Monetary Union (France, Germany, and Italy). The basic idea is that of estimating business...

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...