Expenditure Conditionality in IMF-supported Programs

Sanjeev Gupta, Michela Schena and Seyed Reza Yousefi

No 2018/255, IMF Working Papers from International Monetary Fund

Abstract: This paper studies the impact of expenditure conditionality in IMF programs on the composition of public spending. A granular dataset on different government expenditure conditions covering 115 countries for the 1992-2016 period is compiled. The results support the view that while conditionality on specific elements of spending could help achieve a program’s short-term objectives, it is structural conditionality which delivers lasting benefits. Structural public financial management conditionality (such as on budget execution and control) has proven to be effective in boosting the long-term level of education, health, and public investment expenditures. The results further indicate that conditionality on raising such spending may come at the expense of other expenditures. Finally, the successful implementation (and not mere existence) of the conditionality is crucial for improved outcomes. These findings are relevant for policy makers targeting achievement of the Sustainable Development Goals (SDGs).

Keywords: WP; expenditure conditionality (search for similar items in EconPapers)
Pages: 31
Date: 2018-12-07
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.imf.org/external/pubs/cat/longres.aspx?sk=46448 (application/pdf)

Related works:
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:2018/255

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 ().