• DocumentCode
    495541
  • Title

    The Impact of International Oil Prices on Consumer Prices: Evidence from a VAR Model

  • Author

    Huang, Chi-Jui ; Wang, Hui-Cheng ; Chen, Meng-Gu ; Hwang, Tsorng-Chyi

  • Author_Institution
    Dept. of Appl. Econ., Nat. Chung Hsing Univ., Taichung, Taiwan
  • Volume
    4
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    531
  • Lastpage
    534
  • Abstract
    This study examines possible impacts of crude oil price (OP) on consumer price index (CPI) among three oil exchange markets and four Asian countries with different economic development levels over the period January 1999 to June 2008. A time-series vector autoregression (VAR) model is applied in empirical estimation. The estimated results show that oil prices changes (COPs) have significant effects on changes of CPIs (CCPIs) in the short run for all countries considered. There are long-run causality effects of COPs on CCPIs for countries with relatively larger economic scale. The one way COP-CCPI relationship is less significant for more developed countries. Moreover, the divergent relationships of Dubai COP to CCPIs of Japan, Singapore, and India as well as Brent COP to CCPI of Japan are meaningless in the long run.
  • Keywords
    autoregressive processes; commodity trading; crude oil; data mining; economic indicators; pricing; time series; vectors; Asian country; COP-CCPI; VAR model; change-of-CPI; consumer price index; data mining; economic scale; international crude oil price; oil exchange market; oil price change; time-series vector autoregression; Computer science; Data mining; Electric shock; Fluctuations; Petroleum; Power generation economics; Reactive power; Stochastic processes; Technological innovation; Time series analysis; Consumer price index; Oil price; Vector autoregression model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.762
  • Filename
    5171053