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...

Using a small New Keynesian state space macroeconomic model, we apply maximum likelihood estimation and the Kalman filter to obtain joint estimates of the unobservable medium-run paths of potential output and its normal rate of growth, the NAIRU, the neutral real interest rate and the subjective...

Various forms of instability can be observed in macroeconomic and financial data including changes in variance, changes in cycle properties, or both. Traditional tests do not allow to distinguish between these different cases. This paper proposes and compares two alternative approaches. The...

In this paper, we attempt to analyse the relationship between house price dynamics and the business cycle. Employing a time-varying transition probability Markov switching framework, we provide empirical evidence that house price growth may prove a useful leading indicator for turning point...

This paper revisits the link between oil price uncertainty and macroeconomy in the context of a net oil exporting country, Canada. Results obtained from alternative Structural VAR models suggest that while shocks to oil price level do not affect the aggregate level of output, the oil price...

We build a model of the euro area incorporating financial market frictions at the level of firms and households. Entrepreneurs borrow from financial intermediaries in order to purchase business capital, in the spirit of the “financial accelerator” literature. We also introduce two types of...

Global oil price shock waves and continuous trade imbalance have raised serious alarms among the policy makers around the world, because of its aggressive impacts for the net oil‐importing economies. The objective of this study is to investigate the impact of rising oil prices on the trade...

Standard VAR and Bayesian VAR models are proven to be reliable tools for modeling and forecasting, yet they are still linear and they do not consider time-variation in parameters. VAR modeling is subject to the Lucas critique and fails to take into account the inherent nonlinearities of the...

This paper investigates the differences between real-time and ex-post output gap estimates using a newly-constructed international real-time dataset over the period from 1973:Q1 to 2012:Q3. We extend the findings in Orphanides and van Norden (2002) for the United States that the use of ex-post...

The purpose of the paper is to revisit the inflation–output gap relationship using a new approach known as the wavelet transform. This approach combines the classical time series analysis with frequency domain analysis and presents the advantages of assessing the co-movement of the two series...