In this paper we assess the importance given in capital markets to the credibility of the European fiscal framework. We evaluate to which extent relevant fiscal policy events taking place in the course of 2002 produced a reaction in the long-term bond segment of the capital markets. Firstly, we...

This paper estimates a fiscal reaction function (FRF) framework for euro area countries and derives a novel approach to measure fiscal fatigue. As in previous studies, we find evidence that euro area sovereigns abide, on average, by (weak) sustainability constraints. The primary balance improves...

The prevalence of either Ricardian or non-Ricardian fiscal regimes is important both for practical policy reasons and to assess fiscal sustainability, and this is of particular relevance for European Union countries. The purpose of this paper is to assess, with a panel data set, the empirical...

We assess the sustainability of public finances in the EU15 over the period 1970-2006 using stationarity and cointegration analysis. Specifically, we use panel unit root tests of the first and second generation allowing in some cases for structural breaks. We also apply modern panel...

In order to assess the existence of expansionary fiscal consolidations in Europe, panel data models for private consumption are estimated for the EU15 countries, using annual data over the period 19702005. Three alternative approaches to determine fiscal episodes are used, and the level of...

This paper provides evidence on the role of net fiscal transfers to households and EU structural funds for per-capita output convergence across a large sample of European regions during the period 1995-2005. We find that net fiscal transfers, while achieving regional redistribution, seem to...

We use a new approach to assess long-term fiscal developments. By analyzing the time varying behaviour of the two components of government spending and revenue responsiveness and persistence - we are able to infer about the sources of fiscal behaviour. Drawing on quarterly data we estimate...