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Information Journal Paper

Title

COMPARRISON OF CLASSICAL AND BAYESIAN DYNAMIC MODELS EFFECIENCY IN MODELLING THE VARIATIONS OF WEEKLY AVERAGE RATE OF US DOLLAR IN IRAN

Pages

  321-354

Abstract

 Dynamism, variations in time, is the inherent characteristic of most economical phenomena. In econometrics, ignoring this dynamism may cause many problems due to over simplification of the problems. One such case occurs in application of static REGRESSION models to problems with dynamic nature. In so doing, one ignores the fact that the parameters of the model change in time, which may lead to misleading results. In this paper, we intend to exhibit the importance of this negligence in the context of a practical problem, namely MODELING the weekly average rate of conversion of us DOLLAR into Iranian currency, Rial. Thus, two approaches of static and dynamic MODELING are compared with respect to their efficiency in tracking the path of the variations of the US DOLLAR rate according to various criteria such as MAD and MSE of PREDICTIONs. Using a dynamic TIME SERIES model along with required INTERVENTIONs at outlier points superiority of the BAYESIAN dynamic model is shown.  

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    APA: Copy

    MESHKANI, M.R., & FAKHARI, A.. (2006). COMPARRISON OF CLASSICAL AND BAYESIAN DYNAMIC MODELS EFFECIENCY IN MODELLING THE VARIATIONS OF WEEKLY AVERAGE RATE OF US DOLLAR IN IRAN. TAHGHIGHAT-E-EGHTESADI, -(71), 321-354. SID. https://sid.ir/paper/384007/en

    Vancouver: Copy

    MESHKANI M.R., FAKHARI A.. COMPARRISON OF CLASSICAL AND BAYESIAN DYNAMIC MODELS EFFECIENCY IN MODELLING THE VARIATIONS OF WEEKLY AVERAGE RATE OF US DOLLAR IN IRAN. TAHGHIGHAT-E-EGHTESADI[Internet]. 2006;-(71):321-354. Available from: https://sid.ir/paper/384007/en

    IEEE: Copy

    M.R. MESHKANI, and A. FAKHARI, “COMPARRISON OF CLASSICAL AND BAYESIAN DYNAMIC MODELS EFFECIENCY IN MODELLING THE VARIATIONS OF WEEKLY AVERAGE RATE OF US DOLLAR IN IRAN,” TAHGHIGHAT-E-EGHTESADI, vol. -, no. 71, pp. 321–354, 2006, [Online]. Available: https://sid.ir/paper/384007/en

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