Volume 21, Issue 1 (Spring 2016)                   JPBUD 2016, 21(1): 57-82 | Back to browse issues page

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mehrara M, ghobadzadeh R. (2016). The Determinants of Inflation in Iran Based on : Bayesian Model Averaging(BA) and Weighted-Average Least Squares (WALS). JPBUD. 21(1), 57-82.
URL: http://jpbud.ir/article-1-993-en.html
1- teran university
2- institution for manageent and planning , R.ghobadzadeh@imps.ac.ir
Abstract:   (5268 Views)

In this research to show how 14 variables affect inflation in period 1974-2007, Bayesian model averaging and weighted average least square methods has been used. And also by using Vselect program optimal model for every independent variable has been identified. Results show that price index growth of imported goods is the main factor for inflation in Iran economic. In ranking this 14 factors –that achieved based on their probability for presence in the model-in turn price index growth of imported goods, GDP growth excluding oil group, lag liquidity are must effective factors.also Vselect results show that the most efficient model among every models that have an independent variable is the model that include price index growth of imported goods. Optimal model with two independent variable –include price index growth of imported goods , GDP growth excluding oil group and optimal model with tree independent variables include price index growth of imported goods , GDP growth excluding oil group, lag liquidity growth.

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Type of Study: Research |
Received: May 09 2014 | Accepted: Feb 26 2017 | ePublished: Feb 26 2017

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