UNDERSTANDING CONSUMER PRICE INDEX DYNAMICS IN CANADA

Thabani Nyoni ()
Additional contact information
Thabani Nyoni: University of Zimbabwe, Zimbabwe, Postal: ZW

Theoretical and Practical Research in the Economic Fields, 2019, vol. 10, issue 1, 54-59

Abstract: This research uses annual time series data on Consumer Price Index (CPI) in Canada from 1960 to 2017, to model and forecast CPI using the Box – Jenkins ARIMA technique. Diagnostic tests indicate that the C series is I (1). The study presents the ARIMA (1, 1, 1) model for predicting CPI in Canada. The diagnostic tests further show that the presented parsimonious model is stable. The results of the study apparently show that CPI in Canada is likely to continue on a sharp upwards trajectory in the next decade. The study encourages policy makers to make use of tight monetary and fiscal policy measures in order to control inflation in Canada.

Date: 2019
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:srs:jtpref:v:10:y:2019:i:1:p:54-59

Access Statistics for this article

Theoretical and Practical Research in the Economic Fields is currently edited by Laura UNGUREANU

More articles in Theoretical and Practical Research in the Economic Fields from ASERS Publishing
Bibliographic data for series maintained by Claudiu Popirlan ( this e-mail address is bad, please contact ).