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Granger Causality between Inflation and Inflation Uncertainty in Iran: A MSVAR Approach


  • Farzinvash , Asadollah

    () (Professor of Economics, University of Tehran)

  • Elaahi , Naaser

    () (Assistant Professor of Economics, Mofid University)

  • Kiaalhosseini , Seyed Ziaoddin

    () (Assistant Professor of Economics, Mofid University)

  • Haashemi Dizaj , Abdorrahim

    () (Ph.D. Candidate in Economics, Mofid University)


The main purpose of the present research is to study the Causal relationship between inflation and inflation uncertainty in Iran’s economy during 1990:1 – 2015:4. To achieve this goal, this paper used Vector Auto Regression model with the possibility of changing Markov Regime (MS – VAR). Results obtained from model estimation showed that depending on the placement of inflation and uncertainty variables on the regimes, causal relationship among these variables can be different. In general, results obtained from the research in relation to the presence of causality relationship from inflation to uncertainty of inflation showed that in estimated 5 cases out of the 6 cases, Friedman's (1977) and Ball’s hypothesis (1992), that inflation causes inflation uncertainty to increase, have been confirmed. Also, in the case of the causal relationship from uncertainty of inflation to inflation, it is showed that only in one case out of the 6 studied cases, Pourgerami’s and Maskus’s hypothesis (1987), that an increase in inflation causes a decrease in inflation uncertainty, has been confirmed.

Suggested Citation

  • Farzinvash , Asadollah & Elaahi , Naaser & Kiaalhosseini , Seyed Ziaoddin & Haashemi Dizaj , Abdorrahim, 2016. "Granger Causality between Inflation and Inflation Uncertainty in Iran: A MSVAR Approach," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, vol. 3(2), pages 23-48, July.
  • Handle: RePEc:ris:qjatoe:0041

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    Granger causality; Inflation; Inflation uncertainty; Markov switching.;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation


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