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Investigation the Effects of Price and Non-Price Factors on Iran's Non-Oil Exports: The Latent Variable Approach. (English)

Title: Investigation the Effects of Price and Non-Price Factors on Iran's Non-Oil Exports: The Latent Variable Approach. (English)
Authors: Alikarami, Somaye; Hadian, Ebrahim; Rostamzadeh, Parviz; Javaheri, Ahmad Sadraei
Source: Quarterly Journal of Economic Growth & Development Research; Sep2019, Vol. 9 Issue 36, p35-56, 22p
Subject Terms: LATENT variables; INTERNATIONAL trade; FOREIGN investments; ELECTRONIC commerce; LEAST squares
Geographic Terms: IRAN
Abstract: The purpose of this study has been to consider the effects of non-price factors along with price factors on the demand of Iranian export from 1988 to 2017. In this research, a single error correction model is used to evaluate the short-term dynamics and long-term effects simultaneously. Moreover, in this study compare to previous researches, a more flexible approach has been included in the export function which is based on the structural time series' patterns which are the trends that express the effects of non-pricing factors. Then, the OXmetric software and the Kalman filter is utilized to estimate the amount of trend in each year, and the effect of each factor on the trend component is evaluated by the Ordinary Least Square Method. The results indicate that the price elasticity of the export is low. Also, the impact of non-pricing factors such as globalization, total productivity of production factors, innovation, electronic commerce and foreign direct investment on non-oil exports were assessed. The results have shown that the meaningful effect of all factors and the negative impact of economic freedom, openness and foreign direct investment on the implicit process export. [ABSTRACT FROM AUTHOR]
: Copyright of Quarterly Journal of Economic Growth & Development Research is the property of Payame Noor University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index