Empirical Approaches to the Post-Keynesian Theory of Demand for Money: An Error Correction Model of Bangladesh
Nobinkhor Kundu () and
Muhammad Musharuf Hossain Mollah
MPRA Paper from University Library of Munich, Germany
Abstract:
The demand for money is crucial important tool of monetary policy to deal with the macroeconomic problems and to prescribe appropriate policy of the economy. This paper investigates to empirically explore the long-run equilibrium for demand for real money balance as well as short-run dynamics in the context of monetary policy in Bangladesh. Using time-series annual data for the period 1981 to 2012 and applying the methods of cointegration and error-correction, the study find a single cointegrating equation showing long-run stable relationship between demand for money and explanatory variables in the model. The study also finds convergence of short-run dynamics towards statistically significant long-run equilibrium and concludes that the results have important implications for the conduct of monetary policy in Bangladesh.
Keywords: Demand for Money; Cointegration; Bangladesh (search for similar items in EconPapers)
JEL-codes: C22 C52 E41 (search for similar items in EconPapers)
Date: 2014-08-12, Revised 2014-10-14
New Economics Papers: this item is included in nep-cba, nep-mac, nep-mon and nep-pke
References: View references in EconPapers View complete reference list from CitEc
Citations:
Published in Trade and Development Review 2.7(2014): pp. 1-17
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/65727/2/MPRA_paper_65727.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:65727
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 ().