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...

In this paper we test whether a reallocation of government budget items can enhance long-term GDP growth in a set of European countries. We apply modern panel data techniques to the period 1970-2006, and we use three alternative dependent variables in a growth regression: economic growth, total...

This paper analyses the effects in terms of size and volatility of government revenue and spending on growth in OECD and EU countries. The results of the paper suggest that both variables are detrimental to growth. In particular, looking more closely at the effect of each component of government...

The main focus of this paper is the relation between the cyclical components of total revenues and expenditures and the budget balance in France, Germany, Portugal, and Spain. We try to uncover past trends behind the development of public finances that contribute to explaining the current stance...

We study fiscal behaviour and the sovereign yield curve in the U.S. and Germany in the period 1981:I-2009:IV. The latent factors, level, slope and curvature, obtained with the Kalman filter, are used in a VAR with macro and fiscal variables, controlling for financial stress conditions. In 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...