Assessing Long-Term Fiscal Developments: a New Approach
Luca Agnello (),
Davide Furceri () and
Ricardo Sousa ()
No 2009/19, Working Papers Department of Economics from ISEG - School of Economics and Management, Department of Economics, University of Lisbon
We use a new approach to assess long-term fiscal developments. By analyzing the timevarying 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 recursively these components within a system of government revenue and spending equations using a Three-Stage Least Square method. In this way we track fiscal developments, i.e. possible fiscal deteriorations and/or improvements for eight European Union countries plus the US. Results suggest that positions have not significantly changed for Finland, France, Germany, Spain, the United Kingdom and the US, whilst they have improved for Belgium, Italy, and the Netherlands.. KEY Words: Fiscal Deterioration, Fiscal Sustainability
JEL-codes: E62 H50 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cba and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (4) Track citations by RSS feed
Downloads: (external link)
Journal Article: Assessing long-term fiscal developments: A new approach (2011)
Working Paper: Assessing long-term fiscal developments - a new approach (2009)
Working Paper: Assessing Long-Term Fiscal Developments: a New Approach (2009)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: http://EconPapers.repec.org/RePEc:ise:isegwp:wp192009
Access Statistics for this paper
More papers in Working Papers Department of Economics from ISEG - School of Economics and Management, Department of Economics, University of Lisbon Department of Economics, ISEG - School of Economics and Management, University of Lisbon, Rua do Quelhas 6, 1200-781 LISBON, PORTUGAL.
Series data maintained by Vitor Escaria ().