Estimation of upper and lower bounds of Gini coefficient by fuzzy data

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...

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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
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spelling doaj-1255ed6be7a54568bddea4f1abb0f6fb2020-11-25T03:16:34ZengElsevierData in Brief2352-34092020-04-0129Estimation of upper and lower bounds of Gini coefficient by fuzzy dataReza Ashraf Ganjoei0Hossein Akbarifard1Mashaallah Mashinchi2Sayyed Abdol Majid Jalaee Esfandabadi3Department of Economics, Faculty of Management and Economics, Shahid Bahonar University of Kerman, Kerman, IranDepartment of Economics, Faculty of Management and Economics, Shahid Bahonar University of Kerman, Kerman, Iran; Corresponding author.Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, IranDepartment of Economics, Faculty of Management and Economics, Shahid Bahonar University of Kerman, Kerman, IranThe 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 calculate upper and lower bound data of Gini coefficient. Estimated data at this stage can be a very useful guide for policymakers, on the other hand, it is a benchmark for evaluating the effectiveness of government policies. The reason for using fuzzy regression to estimate data on Gini coefficients is the extra flexibility of this model. Keywords: Fuzzy data, Gini coefficient, Asymmetric coefficients, Uncertaintyhttp://www.sciencedirect.com/science/article/pii/S2352340920301827
collection DOAJ
language English
format Article
sources DOAJ
author Reza Ashraf Ganjoei
Hossein Akbarifard
Mashaallah Mashinchi
Sayyed Abdol Majid Jalaee Esfandabadi
spellingShingle Reza Ashraf Ganjoei
Hossein Akbarifard
Mashaallah Mashinchi
Sayyed Abdol Majid Jalaee Esfandabadi
Estimation of upper and lower bounds of Gini coefficient by fuzzy data
Data in Brief
author_facet Reza Ashraf Ganjoei
Hossein Akbarifard
Mashaallah Mashinchi
Sayyed Abdol Majid Jalaee Esfandabadi
author_sort Reza Ashraf Ganjoei
title Estimation of upper and lower bounds of Gini coefficient by fuzzy data
title_short Estimation of upper and lower bounds of Gini coefficient by fuzzy data
title_full Estimation of upper and lower bounds of Gini coefficient by fuzzy data
title_fullStr Estimation of upper and lower bounds of Gini coefficient by fuzzy data
title_full_unstemmed Estimation of upper and lower bounds of Gini coefficient by fuzzy data
title_sort estimation of upper and lower bounds of gini coefficient by fuzzy data
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2020-04-01
description 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 calculate upper and lower bound data of Gini coefficient. Estimated data at this stage can be a very useful guide for policymakers, on the other hand, it is a benchmark for evaluating the effectiveness of government policies. The reason for using fuzzy regression to estimate data on Gini coefficients is the extra flexibility of this model. Keywords: Fuzzy data, Gini coefficient, Asymmetric coefficients, Uncertainty
url http://www.sciencedirect.com/science/article/pii/S2352340920301827
work_keys_str_mv AT rezaashrafganjoei estimationofupperandlowerboundsofginicoefficientbyfuzzydata
AT hosseinakbarifard estimationofupperandlowerboundsofginicoefficientbyfuzzydata
AT mashaallahmashinchi estimationofupperandlowerboundsofginicoefficientbyfuzzydata
AT sayyedabdolmajidjalaeeesfandabadi estimationofupperandlowerboundsofginicoefficientbyfuzzydata
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