Augmented quantity theory of money and Bangladesh Taka – U.S. dollar exchange rate dynamics
Prashanta K. Banerjee and
Matiur Rahman ()
Additional contact information
Matiur Rahman: Bangladesh Institute of Bank Management, Bangladesh
Journal of Developing Areas, 2009, vol. 43, issue 1, 121-136
Abstract:
This paper studies the dynamics of the Taka-U.S.Dollar exchange rate for Bangladesh by augmenting the Quantity Theory of Money. The standard cointegration methodology (Engle and Granger, 1987) is employed in addition to the ARDL (Autoregressive Distributed Lag) procedure. The ADF and KPSS tests reveal data nonstationarity, but with different orders of integration. As a result, the ARDL procedure is invoked following (Peseran et al., 2001) to search for cointegrating relationship among the variables. On the evidence of cointegration, the vector error- correction model (VECM) is estimated. The negative sign of the coefficient of the error-correction term and its statistical significance in terms of the associated t –value confirm unidirectional causal flow from broad money supply and real GDP to Taka-U.S.Dollar exchange rate and long-run convergence with short–run interactive feedback effects. Furthermore, impulse response analyses are performed for additional visual insights.
Keywords: Exchange Rate; Quantity Theory of Money; Cointegration (search for similar items in EconPapers)
JEL-codes: E0 F3 F4 (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations:
Downloads: (external link)
http://muse.jhu.edu/journals/journal_of_developing_areas/v043/43.1.banerjee.html
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:jda:journl:vol.43:year:2009:issue1:pp:121-136
Access Statistics for this article
More articles in Journal of Developing Areas from Tennessee State University, College of Business Contact information at EDIRC.
Bibliographic data for series maintained by Abu N.M. Wahid ().