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Estimation of Relationship between Inflation and Relative Price Variability: Granger Causality and ARDL Modelling Approach

机译:通货膨胀与相对价格变动关系的估计:格兰杰因果关系和aRDL建模方法

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摘要

The objective of this research paper is to examine the relationship between relative price variability and inflation by using consumer price index (CPI) of Pakistan. The outcomes of the research further divided into food and non-food groups too. The monthly data of CPI was taken from the Pakistan Bureau of Statistics, from August 2001 to July 2011 (with 2000-01 base) for 92 composite commodities with 12 sub-groups. We employed the Granger causality testing approach for the evaluation of any possible influence of one indicator to another. In this scenario, it is viable to state that there is a presence of causality and bidirectional feedback between the variables or the two variables are independent. The major issue is to identify a suitable statistical method that enables us to analyze the association among the variables. The findings of this study demonstrated that there is a probable relationship between inflation (DPt) and both un-weighted measures of price variability (VPt and SPt) for the whole items that have been considered for the analysis. Apart from that, this association also exists between food and non-food categories of CPI basket.
机译:本研究的目的是通过使用巴基斯坦的消费者价格指数(CPI)来检验相对价格变异性与通货膨胀之间的关系。研究结果也进一步分为食物和非食物组。 CPI的月度数据来自2001年8月至2011年7月(以2000-01年为基数)的巴基斯坦统计局,其中包含12个子组的92种复合商品。我们采用了格兰杰因果关系测试方法来评估一种指标对另一种指标的任何可能影响。在这种情况下,可以声明变量之间存在因果关系,并且双向反馈或两个变量是独立的。主要问题是确定一种合适的统计方法,使我们能够分析变量之间的关联。这项研究的结果表明,对于已考虑进行分析的整个项目,通货膨胀(DPt)与两种未加权的价格变异性度量(VPt和SPt)之间可能存在关联。除此之外,食品和非食品类CPI篮子之间也存在这种关联。

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