When Do We Repair the Roof? Insights from Responses to Fiscal Crisis Early Warning Signals

Jiro Honda, René Tapsoba and Ismael Issifou

No 2018/077, IMF Working Papers from International Monetary Fund

Abstract: Should policymakers wait for fiscal crisis early warning signals before repairing the roof? We give an answer to this question by investigating the interlinkages between early warning signals for fiscal crisis, policy responses, and policy outcomes, using a broad panel of 119 countries. We find that fiscal adjsutment is a good remedy for countries that act proactively, reducing their likelihood of facing fiscal crisis by up to about 60 percent. For those waiting for wake-up calls from early-detection tools, however, fiscal adjustment may not fully prevent fiscal crisis occurrence, with the chance of fiscal crisis prevention not only smaller (about 30 percent) but also statistically not significant. These findings highlight the prominence of repairing the roof when the sun is shining, particularly in countries with weak institutions.

Keywords: WP; fiscal crisis; crisis; crisis occurrence (search for similar items in EconPapers)
Pages: 37
Date: 2018-04-06
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.imf.org/external/pubs/cat/longres.aspx?sk=45757 (application/pdf)

Related works:
Journal Article: When do we repair the roof? Insights from responses to fiscal crisis early warning signals (2022)
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:2018/077

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 ().