EconPapers    
Economics at your fingertips  
 

Asymmetric Behavior of Inflation Uncertainty and Friedman-Ball Hypothesis: Evidence from Pakistan

Syed Kumail Abbas Rizvi (skrizavi@yahoo.com) and Bushra Naqvi

MPRA Paper from University Library of Munich, Germany

Abstract: This paper is first attempt to measure and analyze inflation uncertainty in Pakistan and it provides several contributions. Using quarterly data from 1976:01 to 2008:02, at first stage we model inflation uncertainty as time varying process through GARCH framework. At second stage asymmetric behavior of inflation uncertainty is analyzed by using GJR-GARCH and EGARCH models, for further analysis of asymmetry and leverage effects, we developed news impact curves proposed by Pagan and Schwert (1990). Finally we investigate the causality and its direction between inflation and inflation uncertainty by using bivariate Granger-Causality test to know which inflation uncertainty hypothesis (Friedman-Ball or Cukierman- Meltzer) holds true for Pakistani data. We get two important results. First, GJR-GARCH and EGARCH models are more successful in capturing inflation uncertainty and its asymmetric behavior as compared to simple GARCH model. This can also be seen from news impact curves. Second, there is strong evidence that Friedman-Ball inflation uncertainty hypothesis holds true for Pakistan.

Keywords: Inflation; Uncertainty; GJR-GARCH; EGARCH (search for similar items in EconPapers)
JEL-codes: C22 E31 E37 (search for similar items in EconPapers)
Date: 2008-01-08
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/19488/1/MPRA_paper_19488.pdf original version (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:pra:mprapa:19488

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter (winter@lmu.de).

 
Page updated 2025-03-19
Handle: RePEc:pra:mprapa:19488