Modelling Colombo consumer price index: a vector autoregressive approach

Alibuhtto, M.C

dc.contributor.author	Alibuhtto, M.C
dc.date.accessioned	2016-03-17T05:22:21Z
dc.date.available	2016-03-17T05:22:21Z
dc.date.issued	2014-10
dc.identifier.citation	Journal of management Volume XI No. pp 74-81. 1 October 2014	en_US
dc.identifier.issn	1391-8230
dc.identifier.uri	http://ir.lib.seu.ac.lk/handle/123456789/1423
dc.description.abstract	The consumer price index measures changes in the price level of consumer goods and services purchased by households, which reflect inflation. Various studies have been conducted to modelling and forecasting Consumer Price Index (CPI) by developed countries . However, such studies have not been reported in Sri Lanka. This paper is an attempt to modelling the Colombo Consumer Price Index (CCPI) by using monthly CCPI data from January 2003 to May 2011. For this purpose, Stepwise Regression, Principal Component Analysis and Vector Autoregressive (VAR) approach were used. The VAR model with the first principal component of selected CCPI components was identified the best fitted model for the CCPI series. The model was also tested to an independent data set using CCPI from February 2010 to May 2011.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Faculty of Management and Commerce South Eastern University of Sri Lanka Oluvil # 32360 Sri Lanka	en_US
dc.subject	CCPI	en_US
dc.subject	Inflation	en_US
dc.subject	Modelling	en_US
dc.subject	VAR	en_US
dc.title	Modelling Colombo consumer price index: a vector autoregressive approach	en_US
dc.type	Article	en_US