Document Type : Review Article

Authors

1 PhD student of Economics, Ferdowsi University of Mashhad, Mashhad, Iran

2 MSc of Economics, Bahonar University of Kerman, Kerman, Iran

3 Professor of Economics, Bahonar University of Kerman, Kerman, Iran

Abstract

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.  

Keywords

Assari, A., Agheli,L. and Shafiee,S. (2009). The Impact of Monetary Policy on Income Distribution in Iran. Journal of Quantitative Economics (Former Economic Studies), Volume 6, Number 3, autumn 2009, pp. 105-128.
Central Bank of the Islamic Republic of Iran WWW.CBI.IR
Davtyan,K. (2015). Income Inequality and Monetary Policy. The Latin American and Caribbean Economic Association.
Galli, R. and von der Hoeven, R. (2001). Is Inflation Bad for Income Inequality: the Importance of the Initial Rate of Inflation? ILO Employment Paper, 29.
Jalaee, S.A., Ghasemi Nejad, A. and Khorasani, M. (2013). Estimated Tax Potential Capacity of Iran Using Particle Swarm Optimization Algorithm (PSO) and Genetic Algorithm (GA). Tax Journal, No. 17 (Issue 65), Spring 2013, pp. 9-27.
Negarchi, S., Zaree, M.R., Mehrabi, H. and Nezam Abadipur, H. (2011). Comparison of Genetic Algorithms and Extensive Lag to Estimate the Production Function of Agriculture Iran. Agricultural Economics Research, Volume 4, Number 1, Spring 2012, pp. 43-64.
Parvin, S. and Taheri Fard, E. (2008). The Impact of Monetary Policies on Poverty and Income Distribution, the Case of Iran. Economic Research, Winter 2008, Issue 8, pp. 65: 128.