P-Star Model: A Leading Indicator of Inflation for Pakistan
Abdul Qayyum and
Faiz Bilquees
Additional contact information
Faiz Bilquees: Pakistan Institute of Development Economics, Islamabad.
The Pakistan Development Review, 2005, vol. 44, issue 2, 117-129
Abstract:
The P-star inflation model is based on the long-term quantity theory of money and puts together the long-term determinants of the price level and the short-run changes in current inflation. The P-star model-based indicator has replaced the previous monetary policy procedures in a number of countries because it offers by far more information and predictive power than monitoring movements in money supply and the rate of monetary growth. In this paper we used the P-star model to calculate the leading indicator of inflation, and also to test the forecasting performance of the P-star model-based leading indicator of inflation. The results of the study show that compared to the simple autoregressive model and the M2 growth augmented model, the P-star model can be used to obtain the leading indicator of inflation in Pakistan because it has additional information about the future rate of inflation. Therefore, this paper provides a useful tool to the policy-makers to assess the future movement of inflation in Pakistan.
Date: 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.pide.org.pk/pdf/PDR/2005/Volume2/117-129.pdf (application/pdf)
Related works:
Working Paper: P-Star Model: A Leading Indicator of Inflation for Pakistan (2005) 
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:pid:journl:v:44:y:2005:i:2:p:117-129
Access Statistics for this article
More articles in The Pakistan Development Review from Pakistan Institute of Development Economics Contact information at EDIRC.
Bibliographic data for series maintained by Khurram Iqbal ().