Estimation of Gini Coefficient with Subject to the Size of Government by Using Fuzzy Nonlinear Regression

Ashrafganjoei, Reza; Rahimi Ghasemabadi, Mohammad

doi:10.22084/aes.2022.25559.3388

Estimation of Gini Coefficient with Subject to the Size of Government by Using Fuzzy Nonlinear Regression

Document Type : Research Article

Authors

¹ Assistant Professor, Department of Economics, Faculty of Management and Economics, University of Sistan and Baluchistan, Zahedan, Iran

² Ph.D. student, Islamic Azad University, Kerman Branch, Kerman, Iran.

10.22084/aes.2022.25559.3388

Abstract

This article examines the effect of government size on the high, medium and low thresholds of the Gini coefficient in Iran. For this purpose, the auto regression model of soft fuzzy logistic transfer (FLSTAR) has been used for the period of 1997-2019. One of the reasons for using this model is flexibility in its application. The main focus of this paper is to calculate the Gini coefficient bands according to the size of government in the economy. Hence, we calculate the bands (high, middle and low) of the Gini coefficient. The study show that the threshold size of the government is equal 0.499. Findings of this research are applied in a real case which reveal that with increase of government share in economy the Gini coefficient increases as well. Therefore, the government should seriously pursue privatization policies.

Keywords

Main Subjects

Economic

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