Long-Run and Short-Run Dynamics of the Exchange Rate in Pakistan: Evidence FromUnrestricted Purchasing Power Parity Theory

Muhammad Khan and Abdul Qayyum

Lahore Journal of Economics, 2008, vol. 13, issue 1, 29-56

Abstract: The main focus of this paper is to measure the speed of adjustment of the exchange rate by means of the persistent profile approach developed by Pesaran and Shin (1996) to examine the symmetry and proportionality assumptions of the purchasing power parity (PPP) theory of exchange rates for the Pak-rupee vis-à-vis the US-dollar exchange rate over the period 1982Q2-2005Q4. Using cointegration and vector error-correction modeling approaches, we find considerable support for the validity of weak-form PPP in Pakistan. Furthermore, the symmetry and proportionality assumptions of PPP are not verified. In the short-run, the exchange rate and foreign prices play a significant role in the convergence process to achieve long-run equilibrium. However, the speed of adjustment is very slow and the persistence profiles suggest that almost4-5 years are required to eliminate deviations and bring the nominal exchange rate in line with the long-run equilibrium path.

Keywords: Exchange Rate; Purchasing Power Parity; Cointegration; Vector Error Correction; Pakistan (search for similar items in EconPapers)
JEL-codes: C13 C22 C51 F31 F37 (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://121.52.153.179/JOURNAL/Vol13-No1/02%20LR%20&%20SR%20Dynamics.pdf (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:lje:journl:v:13:y:2008:i:1:p:29-56

Access Statistics for this article

More articles in Lahore Journal of Economics from Department of Economics, The Lahore School of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Shahid Salahuddin ().