Reconciling Stability and Growth: Smart Pacts and Structural Reforms
Roel Beetsma and
Xavier Debrun
No 2003/174, IMF Working Papers from International Monetary Fund
Abstract:
This paper analyzes the decision of a government facing electoral uncertainty to implement structural reforms in the presence of fiscal restraints similar to the Stability and Growth Pact. The model shows that a pact may harm structural reforms, sacrificing future growth for present stability. The welfare gains brought about by a pact depend on a trade-off between the reduction in the deficit bias and the induced reduction in the amount of structural reform. A pact becomes more attractive (“smarter”) if it takes into account the fiscal impact of structural reforms, in line with a recent proposal by the European Commission.
Keywords: WP; public goods; Structural reforms; Stability and Growth Pact; Monetary Union; Sanctions; partisan government; budget constraint; deficit bias; incumbent government; Budget planning and preparation; Employment protection; Structural policies; Europe (search for similar items in EconPapers)
Pages: 34
Date: 2003-09-01
References: Add references at CitEc
Citations: View citations in EconPapers (19)
Downloads: (external link)
http://www.imf.org/external/pubs/cat/longres.aspx?sk=16792 (application/pdf)
Related works:
Journal Article: Reconciling Stability and Growth: Smart Pacts and Structural Reforms (2004) 
Working Paper: Reconciling Stability and Growth: Smart Pacts and Structural Reforms (2003) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:imf:imfwpa:2003/174
Ordering information: This working paper can be ordered from
http://www.imf.org/external/pubs/pubs/ord_info.htm
Access Statistics for this paper
More papers in IMF Working Papers from International Monetary Fund International Monetary Fund, Washington, DC USA. Contact information at EDIRC.
Bibliographic data for series maintained by Akshay Modi ().