Fiscal consolidation in the euro area: Long-run benefits and short-run costs
Günter Coenen (),
Matthias Mohr () and
Economic Modelling, 2008, vol. 25, issue 5, 912-932
In this paper, we examine the macroeconomic effects of alternative fiscal consolidation policies in the New Area-Wide Model (NAWM), a two-country open-economy model of the euro area developed at the European Central Bank (cf. [Coenen, G., McAdam, P., Straub, R., in press. Tax reform and labour-market performance in the euro area: a simulation-based analysis using the New Area-Wide Model. Forthcoming in the Journal of Economic Dynamics and Control]). We model fiscal consolidation as a permanent reduction in the targeted government debt-to-output ratio and analyse both expenditure and revenue-based policies that are implemented by means of simple fiscal feedback rules. We find that fiscal consolidation has positive long-run effects on key macroeconomic aggregates such as output and consumption, notably when the resulting improvement in the budgetary position is used to lower distortionary taxes. At the same time, fiscal consolidation gives rise to noticeable short-run adjustment costs in contrast to what the literature on expansionary fiscal consolidations suggests. Moreover, depending on the fiscal instrument used, fiscal consolidation may have pronounced distributional effects.
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (98) Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
Working Paper: Fiscal consolidation in the euro area: long-run benefits and short-run costs (2008)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecmode:v:25:y:2008:i:5:p:912-932
Access Statistics for this article
Economic Modelling is currently edited by S. Hall and P. Pauly
More articles in Economic Modelling from Elsevier
Bibliographic data for series maintained by Haili He ().