EconPapers    
Economics at your fingertips  
 

Modelling inflation shifts and persistence in Tunisia: perspectives from an evolutionary spectral approach

Zied Ftiti (), Khaled Guesmi, Nguyen and Frédéric Teulon

Applied Economics, 2015, vol. 47, issue 57, 6200-6210

Abstract: This article examines the dynamic characteristics of the inflation rate in Tunisia over the last two decades, and particularly following the onset of the Arab Spring in 2010 which causes distortions in this country's monetary policy. We focus on the two specific dimensions of the Tunisian inflation rate: inflation regimes and persistence. We tackle this issue by adopting an evolutionary spectral approach, initially proposed by Priestley and Tong (1973). Our main findings indicate a stable inflation regime in the last 10 years, with an average inflation rate of around 5.5%. It is also found that the Tunisian inflation experienced a high degree of inertia which reflects its gradual responses to shocks. We also discuss the policy implications of these results, which typically require policy-makers to implement sound institutional reforms to reduce inflation.

Date: 2015
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2015.1068918 (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: Modeling inflation shifts and persistence in Tunisia: Perspectives from an evolutionary spectral approach (2015) Downloads
Working Paper: Modelling Inflation Shifts and Persistence in Tunisia: Perspective from an Evolutionary spectral approach (2014) Downloads
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:taf:applec:v:47:y:2015:i:57:p:6200-6210

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20

DOI: 10.1080/00036846.2015.1068918

Access Statistics for this article

Applied Economics is currently edited by Anita Phillips

More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:applec:v:47:y:2015:i:57:p:6200-6210