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  • 标题:Rethinking about Determinants of Inflation in Ghana: Which Econometric Model Tell the True Story
  • 本地全文:下载
  • 作者:Ferdinand Ahiakpor
  • 期刊名称:European Journal of Business and Management
  • 印刷版ISSN:2222-2839
  • 电子版ISSN:2222-2839
  • 出版年度:2014
  • 卷号:6
  • 期号:6
  • 页码:78-86
  • 语种:English
  • 出版社:The International Institute for Science, Technology and Education (IISTE)
  • 摘要:This study examines the factors that influence inflation in Ghana over the sample period of 1965-2012, using the Bayesian Model Selection (BMS) techniques to address issues of model uncertainty. Using data from the world development indictors, the study found real output growth, population growth rate, broad money, exchange rate, lending rate and budget deficit as some of the key factors contributing to Ghana’s inflation. The study recommends among others Bank of Ghana to adopt a low official interest rate as it has a transmission mechanism. JEL Code : E32, E37
  • 关键词:Bayesian Model Selection; Ghana; Inflation
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