The Effects of Forward-Versus Backward-Looking Wage Indexationon Price Stabilization Programs
Joe Crowley
No 1997/038, IMF Working Papers from International Monetary Fund
Abstract:
A standard open-economy model is used to show that price stabilization programs are more likely to succeed if labor contracts specify forward-looking wage indexation. Compared with contracts specifying backward-looking wage indexation or wages based on static expectations, such contracts will result in a greater reduction in inflation with lower output costs, smaller misalignment of real wages, smaller outflows of reserves, smaller disruptions caused by policy announcements, and a reduced impact of some shocks during price stabilization programs. These results are generally true whether or not capital is mobile and whether or not expectations are rational.
Keywords: WP; backward-looking indexation; stabilization program; forward-looking indexation; wage growth; indexed wage; current account growth; wage rule; disequilibrium real wage level; real wage stability; backward-looking wage indexation; wage indexation structures; Wage indexation; Inflation; Real wages; Wages; Price stabilization (search for similar items in EconPapers)
Pages: 34
Date: 1997-04-01
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.imf.org/external/pubs/cat/longres.aspx?sk=2150 (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:1997/038
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 ().