Nooshin Karimi Alavijeh; Sorour Chehrazi Madreseh; Sayyed Abdolmajid Jalaee
Volume 4, Issue 7 , July 2017, , Pages 682-691
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 ...
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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.
Nooshin Karimi Alavijeh; Sayyed Abdolmajid Jalaee
Volume 3, Issue 2 , February 2016, , Pages 139-146
Abstract
Increasing financial depth is one of the main concerns of policy makers as a prerequisite for economic growth. And since poverty is one of the most important economic and social complications as well as a barrier for reaching financial development, this study tries to investigate the effects of the Gini ...
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Increasing financial depth is one of the main concerns of policy makers as a prerequisite for economic growth. And since poverty is one of the most important economic and social complications as well as a barrier for reaching financial development, this study tries to investigate the effects of the Gini coefficient, as a poverty measure for income strata, on financial depth during the time period between 1990 and 2011 using combinatorial data analysis. The results of the study show that there is a positive relationship between Gini coefficient in each income stratum and financial depth, which implies that increasing the financial depth does not decrease poverty in each income stratum. Moreover, there is a negative relationship between government expenses and financial depth in Iran. On the other hand, it can be said that increasing the degree of economic openness and inflation have a positive impact on financial depth.
