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Title

Income Distribution Management using Logistics and Fermi-Dirac Distribution in Iran

Pages

  131-150

Abstract

 Distributions such as Bose-Einstein, Maxwell Boltzmann, Lag Normal, and exponential have been used to describe income of the low-and middle sections of society. The Pareto distribution also have been used to describe the income of the wealthy section of society. Due to the complexity of these models, it is difficult to estimate macroeconomic indicators. Also, one of other disadvantage of these models is non-uniformity for all income levels. In this study, the cumulative logistic and Fermi-Dirac distribution were used for two categories of rural and urban data sets in the Iranian economy between 2009 to 2019. The results show that the proposed model was perfectefor all income levels in rural and urban areas at different times very well and covers all parts of the Income distribution. Interpretation of Dirac Fermi distribution parameters and the correlation and significant relationship of these parameters with macroeconomic indicators show the superiority of Dirac Fermi distribution compared to logistics distribution.

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    APA: Copy

    Foruzan, Mohammad, Mousavi Shiri, Mahmud, & SALEHI, MEHDI. (2021). Income Distribution Management using Logistics and Fermi-Dirac Distribution in Iran. ADVANCES IS FINANCE AND INVESTMENT, 2(4 ), 131-150. SID. https://sid.ir/paper/961229/en

    Vancouver: Copy

    Foruzan Mohammad, Mousavi Shiri Mahmud, SALEHI MEHDI. Income Distribution Management using Logistics and Fermi-Dirac Distribution in Iran. ADVANCES IS FINANCE AND INVESTMENT[Internet]. 2021;2(4 ):131-150. Available from: https://sid.ir/paper/961229/en

    IEEE: Copy

    Mohammad Foruzan, Mahmud Mousavi Shiri, and MEHDI SALEHI, “Income Distribution Management using Logistics and Fermi-Dirac Distribution in Iran,” ADVANCES IS FINANCE AND INVESTMENT, vol. 2, no. 4 , pp. 131–150, 2021, [Online]. Available: https://sid.ir/paper/961229/en

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