• Login
    • Login
    Advanced Search
    View Item 
    •   UoN Digital Repository Home
    • Journal Articles
    • Faculty of Arts & Social Sciences (FoA&SS / FoL / FBM)
    • View Item
    •   UoN Digital Repository Home
    • Journal Articles
    • Faculty of Arts & Social Sciences (FoA&SS / FoL / FBM)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Relationship between crude oil prices and the consumer price index in kenya

    Thumbnail
    View/Open
    Abstract.pdf (798.0Kb)
    HILDA MUTHONI GICHANA.pdf (312.0Kb)
    Date
    2013
    Author
    Gichana, Hilda Muthoni
    Type
    Thesis
    Language
    en
    Metadata
    Show full item record

    Abstract
    For almost half a century now global oil prices have undergone a lot of volatility. Theory predicts a close relationship between crude oil prices and consumer price index due the increased importance of oil in the production of goods and services across all sectors in world economies. The aim of this study was to establish the relationship between Crude oil prices and the Consumer Price Index in Kenya. This study was a descriptive time series correlation study with monthly averages of CPI as the dependent variable while monthly averages of crude oil price per barrel made up the independent variable. Monthly average of crude oil prices in the United Arab Emirates at current US Dollar rates and the monthly CPI for the seven years spanning the period January 2006 to December 2012 were used for this study. The data was electronically collected from the Kenya National Bureau of Statistics and supplemented by data from the International Energy Association. Regression analysis was used to determine the relationship. During the period before the revision of the calculation of CPI in December 2008, the constant term was 186.35 which was significant, the coefficient term was 0.76 which was significant. Theregression was statistically significant though the variation in CPI was poorly explained by the variation in Crude Oil Prices. In the period after the revision, constant term was 126.78 which was statistically significant, the coefficient of Crude Oil Prices was -0.031 which was not significant. The regression was not statistically significant and the variation in CPI was not strongly explained by the variation in Crude Oil Prices. The study found that the composition of the products used in the calculation of CPI determined the relationship between CPI and crude oil prices.
    URI
    http://hdl.handle.net/11295/63391
    Citation
    Master Of Business Administration
    Publisher
    University of Nairobi
    Collections
    • Faculty of Arts & Social Sciences (FoA&SS / FoL / FBM) [6704]

    Copyright © 2022 
    University of Nairobi Library
    Contact Us | Send Feedback

     

     

    Useful Links
    UON HomeLibrary HomeKLISC

    Browse

    All of UoN Digital RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Copyright © 2022 
    University of Nairobi Library
    Contact Us | Send Feedback