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Information Journal Paper

Title

THE OPTIMAL METHOD OF MEASURING CORE INFLATION: THE CASE OF IRAN

Pages

  101-128

Abstract

 This study tries to measure CORE INFLATION in Iran's economy, using SVAR method, during the period (1973-2007). Importance of understanding CORE INFLATION lies on the fact that the CORE INFLATION reveals the likely noises (shocks). By using CORE INFLATION criterion in policy making, monetary policies become more effective, as policymakers just react to the fluctuations in measured inflation, ignoring temporary noises. In an attempt to measure CORE INFLATION in Iran, three variables, namely oil price, gross national product, and consumer price index are deployed in a Structural Vector Auto Regressive (SVAR) model, with imposing some restrictions to make the model consistent with the structure of Iran's economy. The results show that in most cases, headline inflationary pressures have been more than measured inflation, owning to the deflationary pressures of oil export revenues in the economy.

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    Cite

    APA: Copy

    TASHKINI, AHMAD, & AFZALI, HOSSEIN. (2011). THE OPTIMAL METHOD OF MEASURING CORE INFLATION: THE CASE OF IRAN. JOURNAL OF ECONOMIC RESEARCH AND POLICIES, 19(59), 101-128. SID. https://sid.ir/paper/89503/en

    Vancouver: Copy

    TASHKINI AHMAD, AFZALI HOSSEIN. THE OPTIMAL METHOD OF MEASURING CORE INFLATION: THE CASE OF IRAN. JOURNAL OF ECONOMIC RESEARCH AND POLICIES[Internet]. 2011;19(59):101-128. Available from: https://sid.ir/paper/89503/en

    IEEE: Copy

    AHMAD TASHKINI, and HOSSEIN AFZALI, “THE OPTIMAL METHOD OF MEASURING CORE INFLATION: THE CASE OF IRAN,” JOURNAL OF ECONOMIC RESEARCH AND POLICIES, vol. 19, no. 59, pp. 101–128, 2011, [Online]. Available: https://sid.ir/paper/89503/en

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