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Cites:

Information Journal Paper

Title

Inflation Dynamics in Iran Provinces: A Spatial Econometric Approach

Pages

  139-167

Keywords

Generalized Method of Moments (GMM)Q2

Abstract

 Iran's provinces have experienced high inflationary pressures over the past few decades. This paper models the dynamics of inflation in terms of spatial effects between Iranian provinces using the hybrid Phillips New Keynesian Curve during the period (1392-1380). The results show that, the Phillips Keynesian curve is suitable for investigating the dynamics of inflation in Iran's provinces. Findings indicate that provinces focus on setting prices of their goods based on a combination of forward looking and backward looking rules, and that forward looking behaviors will have a stronger effect on the rate of inflation in the current period. Also in each province, the Output Gap as representative of the actual variables has an effect on the inflation rate of its current period. Finally, considering the significance of spatial auto-correlation between Iran's provinces, Output Gap, expected and lagged inflation rates in adjacent provinces have negative effects on the current inflation rate of the neighboring provinces.

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  • Cite

    APA: Copy

    Kahrizi, Zahra, maraseli, aziz, & ASGARI, HESHMATOLLAH. (2019). Inflation Dynamics in Iran Provinces: A Spatial Econometric Approach. IRANIAN ECONOMIC RESEARCH, 23(77 ), 139-167. SID. https://sid.ir/paper/365277/en

    Vancouver: Copy

    Kahrizi Zahra, maraseli aziz, ASGARI HESHMATOLLAH. Inflation Dynamics in Iran Provinces: A Spatial Econometric Approach. IRANIAN ECONOMIC RESEARCH[Internet]. 2019;23(77 ):139-167. Available from: https://sid.ir/paper/365277/en

    IEEE: Copy

    Zahra Kahrizi, aziz maraseli, and HESHMATOLLAH ASGARI, “Inflation Dynamics in Iran Provinces: A Spatial Econometric Approach,” IRANIAN ECONOMIC RESEARCH, vol. 23, no. 77 , pp. 139–167, 2019, [Online]. Available: https://sid.ir/paper/365277/en

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