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 - a feature not captured by automatic stabilisers, we are able to infer about the sources of fiscal...

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...

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...

Using bootstrap panel analysis, allowing for cross-country correlation, without the need of pre-testing for unit roots, we study the causality between government spending and revenue for the EU in the period 1960-2006. We find spend-and-tax causality for Italy, France, Spain, Greece, and...

Using bootstrap panel analysis, allowing for cross-country correlation, without the need of pre-testing for unit roots, we study the causality between government revenue and spending for the EU in the period 1960-2006. Spend-and-tax causality is found for Italy, France, Spain, Greece, and...

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...

We assess the link between fiscal sustainability coefficients, namely the responses of the primary government balance and the global government balance to the debt-to-GDP ratio, and the response of government revenues to government expenditures. For 22 OECD developed countries we use annual data...