Reviewing the Impact of Monetary Policy on Income Distribution in Iran Using Genetic Algorithms (GA) and Particle Swarm Optimization Algorithm (PSO)
Inequality in income distribution is the source of injustices such as class differences based on wealth, incomes, and consumption among members of society. Achieving fair distribution of income requires the proper use of economic instruments among which monetary policy is the most important tool. In...
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| Format: | Article |
| Language: | English |
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Mashhad: Behzad Hassannezhad Kashani
2017-07-01
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| Series: | International Journal of Management, Accounting and Economics |
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| Online Access: | https://www.ijmae.com/article_115033_6909a8cd9ff7c5f5e40a192f5c776219.pdf |
| _version_ | 1797690319248031744 |
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| author | Nooshin Karimi Alavijeh Sorour Chehrazi Madreseh Sayyed Jalaee |
| author_facet | Nooshin Karimi Alavijeh Sorour Chehrazi Madreseh Sayyed Jalaee |
| author_sort | Nooshin Karimi Alavijeh |
| collection | DOAJ |
| description | Inequality in income distribution is the source of injustices such as class differences based on wealth, incomes, and consumption among members of society. Achieving fair distribution of income requires the proper use of economic instruments among which monetary policy is the most important tool. In this study, using annual data from 1979-2013, the effects of liquidity volume (monetary policy index) on inequality of income distribution (using Gini coefficient inequality index) have been addressed. Therefore, Gini coefficient function was estimated with particle swarm optimization algorithm and genetic algorithm. And based on performance assessment criteria, the model with particle swarm optimization algorithm was chosen to study the impact of monetary policy on income distribution in Iran. Research results show that the relation of liquidity volume variable with direct income distribution and the relation of government expenses with income distribution are significant and indirect. Also, the results show that by increasing human development index, income inequality in society increases and rising inflation reduces inequality of income distribution. |
| first_indexed | 2024-03-12T01:57:48Z |
| format | Article |
| id | doaj.art-11072eff0ea147d1acea5b5bb6a4d5ba |
| institution | Directory Open Access Journal |
| issn | 2383-2126 |
| language | English |
| last_indexed | 2024-03-12T01:57:48Z |
| publishDate | 2017-07-01 |
| publisher | Mashhad: Behzad Hassannezhad Kashani |
| record_format | Article |
| series | International Journal of Management, Accounting and Economics |
| spelling | doaj.art-11072eff0ea147d1acea5b5bb6a4d5ba2023-09-07T21:53:52ZengMashhad: Behzad Hassannezhad KashaniInternational Journal of Management, Accounting and Economics2383-21262017-07-0147682691115033Reviewing the Impact of Monetary Policy on Income Distribution in Iran Using Genetic Algorithms (GA) and Particle Swarm Optimization Algorithm (PSO)Nooshin Karimi Alavijeh0Sorour Chehrazi Madreseh1Sayyed Jalaee2PhD student of Economics, Ferdowsi University of Mashhad, Mashhad, IranMSc of Economics, Bahonar University of Kerman, Kerman, IranProfessor of Economics, Bahonar University of Kerman, Kerman, IranInequality in income distribution is the source of injustices such as class differences based on wealth, incomes, and consumption among members of society. Achieving fair distribution of income requires the proper use of economic instruments among which monetary policy is the most important tool. In this study, using annual data from 1979-2013, the effects of liquidity volume (monetary policy index) on inequality of income distribution (using Gini coefficient inequality index) have been addressed. Therefore, Gini coefficient function was estimated with particle swarm optimization algorithm and genetic algorithm. And based on performance assessment criteria, the model with particle swarm optimization algorithm was chosen to study the impact of monetary policy on income distribution in Iran. Research results show that the relation of liquidity volume variable with direct income distribution and the relation of government expenses with income distribution are significant and indirect. Also, the results show that by increasing human development index, income inequality in society increases and rising inflation reduces inequality of income distribution.https://www.ijmae.com/article_115033_6909a8cd9ff7c5f5e40a192f5c776219.pdfmonetary policyincome distributiongenetic algorithmparticle swarm optimization algorithmgini coefficient |
| spellingShingle | Nooshin Karimi Alavijeh Sorour Chehrazi Madreseh Sayyed Jalaee Reviewing the Impact of Monetary Policy on Income Distribution in Iran Using Genetic Algorithms (GA) and Particle Swarm Optimization Algorithm (PSO) International Journal of Management, Accounting and Economics monetary policy income distribution genetic algorithm particle swarm optimization algorithm gini coefficient |
| title | Reviewing the Impact of Monetary Policy on Income Distribution in Iran Using Genetic Algorithms (GA) and Particle Swarm Optimization Algorithm (PSO) |
| title_full | Reviewing the Impact of Monetary Policy on Income Distribution in Iran Using Genetic Algorithms (GA) and Particle Swarm Optimization Algorithm (PSO) |
| title_fullStr | Reviewing the Impact of Monetary Policy on Income Distribution in Iran Using Genetic Algorithms (GA) and Particle Swarm Optimization Algorithm (PSO) |
| title_full_unstemmed | Reviewing the Impact of Monetary Policy on Income Distribution in Iran Using Genetic Algorithms (GA) and Particle Swarm Optimization Algorithm (PSO) |
| title_short | Reviewing the Impact of Monetary Policy on Income Distribution in Iran Using Genetic Algorithms (GA) and Particle Swarm Optimization Algorithm (PSO) |
| title_sort | reviewing the impact of monetary policy on income distribution in iran using genetic algorithms ga and particle swarm optimization algorithm pso |
| topic | monetary policy income distribution genetic algorithm particle swarm optimization algorithm gini coefficient |
| url | https://www.ijmae.com/article_115033_6909a8cd9ff7c5f5e40a192f5c776219.pdf |
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