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 this paper we provide a positive exercise on past business-cycle correlations and risk sharing in the European Union, and on the ability of insurance mechanisms and fiscal policies to smooth income fluctuations. The results suggest in particular that while some of the new Member States have...

We assess the cointegration relationship between current account and budget balances, and effective real exchange rates, using recent bootstrap panel cointegration techniques and SUR methods. We investigate the magnitude of the relationship between the two imbalances for each country for the...

We assess the fiscal behaviour in the European Union countries for the period 1990-2005 via the responsiveness of budget balances to several determinants. The results show that the existence of effective fiscal rules, the degree of public spending decentralization, and the electoral cycle can...

We compute average mark-ups as a measure of market power throughout time and study their interaction with fiscal policy and macroeconomic variables in a VAR framework. From impulse-response functions the results, with annual data for a set of 14 OECD countries covering the period 1970-2007, show...

In this paper we assess to what extent in the existence of a financial crisis, government spending can contribute to mitigate economic downturns in the short run and whether such impact differs in crisis and non crisis times. We use panel analysis for a set of OECD and non-OECD countries for the...

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...