This paper surveys and motivates the reasons for incorporating explicit long run of supply features into applied estimated macro economic models. It defines some basic stability conditions for such models and illustrates elements of long run considerations with reference to a small (22 equation)...

This paper addresses some of the issues faced by macroeconomic model builders in analysing the monetary transmission mechanism. These include the sensitivity of the policy simulation results to changes in the monetary and fiscal policy rule and the introduction of forward-looking behaviour in...

We quantify the degree of persistence in unemployment rates of transition countries using a variety of methods benchmarked against the EU. In part of the paper, we work with the concept of linear "Hysteresis" as described by the presence of unit roots in unemployment. Since this is potentially a...

Using euro-area data, we re-examine the empirical success of New Keynesian Phillips Curves (NKPCs). The nature of our re-evaluation relies on the actual empirical underpinnings of such estimates: we find existing estimates un-robust and – given that key parameters are generally calibrated...

There has been much discussion of the differences in macroeconomic performance and prospects between the US, Japan and the euro area. Using Markov-switching techniques, in this paper we identify and compare specifically their major business-cycle features and examine the case for a common...

This paper applies linear and neural network-based “thick” models for forecasting inflation based on Phillips–curve formulations in the USA, Japan and the euro area. Thick models represent “trimmed mean” forecasts from several neural network models. They outperform the best performing...

Abstract: An important part of external or policy shocks is transmitted throughout the economy via various channels of transactions. To analyse such channels and to predict the impact of shocks, it is expedient to know who recently exchanged what with whom and for what purpose. The most...