Estimation of upper and lower bounds of Gini coefficient by fuzzy data
The data presented in this paper are used to examine the uncertainty in macroeconomic variables and their impact on the Gini coefficient. Annual data for the period 2017 - 1996 are taken from the Bank of Iran website https://www.cbi.ir. We used fuzzy regression with symmetric coefficients to calcula...
Main Authors: | Reza Ashraf Ganjoei, Hossein Akbarifard, Mashaallah Mashinchi, Sayyed Abdol Majid Jalaee Esfandabadi |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2020-04-01
|
Series: | Data in Brief |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340920301827 |
Similar Items
-
Applying of Fuzzy Nonlinear Regression to Investigate the Effect of Information and Communication Technology (ICT) on Income Distribution
by: Reza Ashraf Ganjoei, et al.
Published: (2021-01-01) -
A method for estimating width bands of variables in economics under uncertainty conditions
by: Reza Ashraf Ganjoei, et al.
Published: (2021-01-01) -
A new method for rooting nonlinear equations based on the Bisection method
by: Reza Etesami, et al.
Published: (2021-01-01) -
Measuring Resource Inequality: The Gini Coefficient
by: Michael T. Catalano, et al.
Published: (2009-07-01) -
A New Logit-Based Gini Coefficient
by: Hang K. Ryu, et al.
Published: (2019-05-01)