Journal of Economic Modeling Research

  The allocation of opportunities affects income distribution and income inequality. This paper analyzes the economic impacts of initial allocation of resources and redistribution of opportunities. In this study, we apply a computable general equilibrium (CGE) model focusing on distribution of opportunities and allocation of available resources. The differences between households' income are caused by differences in labor income (skilled and unskilled) and the household's income from capital stock. The model is calibrated based on micro consistent matrix (MCM) of Iranian economy. We found that, the redistribution of opportunities and re-allocation of resources can reduce inequality. In other words, improvement in equality of opportunities leads to more equal society. The important finding of the study is that an increase in inequality of opportunity may cause the income gap grows faster. So, big reduction in inequality of income after small reduction in inequality of opportunities can be witnessed.

One of the issues discussed in economy is the socioeconomic inequality in the society. Income mobility is another measure which indicates the degree of inequality of opportunity in a society. The extent of income mobility depends on socio-economic status of the individuals. Different socio-economic status leads to further inequality and increases inequality of opportunity. Such inequalities lead to the formation of Poverty which can be reproduced and transmitted from one cohort to the other, if not utilize the appropriate method. income mobility is measured as either conditional or absolute one. In Conditional mobility fixed effects are considered, however in absolute mobility it is not so. Fixed effect parameter that indicates the heterogeneity between individuals. According to the importance of the issue of poverty and the relation it has with inequality, this paper studies the conditional mobility in the economy of  Iran. In this study Household Survey Data collected by Iran Statistical Center from 1988 till 2011 is used. The method of nonlinear dynamic pseudo-panel has been used in order to measure income inequality dynamics. Nonlinear dynamics of income inequality for urban areas in Iran are estimated. This method enables us to track the performance of each cohort over time. The main results of this study indicate that the conditional income mobility is low and dine quality in the country has increased over time. Facing negative shocks, households cannot quickly improve their situation and return to the initial income, and at the same time, the market operation in itself cannot fix the problem. This means that the market provides more favorable conditions for people who have higher power and wealth. This leads the inequality to spread to the higher level.

Environmental quality is affected by many factors such as economic and political inequality. The main purpose of this article is to investigate the effects of income and political inequality on the environment quality in the selected countries. Using the Generalized Method of Moments (GMM), the effects of gini coefficient, democracy index and income per capita, energy consumption and human development index on environmental quality are estimated for 57 countries during the period 2000 to 2012. The results show that income inequality and Political inequality significantly had a negative effect on environment quality. While the energy consumption has the negative effect on the quality of environment, improvement in human development index and the income per capita have a positive effect on the quality of environment. This finding might has important policy implication for policymakers and authorities to achieve sustainable development in different countries.

The main purpose of this paper is to measure the multidimensional inequality index. To achieve this goal and answer of what trend inequality has gone through during the study period, using the data of the household expenditure income plan of the statistical center of Iran and also using the Bourguignon index, inequality was measured in several dimensions for the period 1984-2018. In addition, it should be noted that in this study, household expenditures were initially adjusted based on age composition and number of household members by calculating the equivalence scale. This adjustment was made possible by estimating the share of expenditures of different commodity groups by considering its functional form in the the quadratic almost ideal demand system (QUAIDS). Then, using data mining techniques and Principal Component Analysis(PCA), the weight of the studied dimensions in the analysis (income, education and health) was calculated and when measuring inequality, the degree of social aversion of inequality was considered in the form of two scenarios, zero and one. the results of this study indicate that the magnitude of multidimensional inequality per zero value for both the degree of social aversion of inequality parameter and the degree of substitution parameter based on the Bourguignon, index is between 0.28 and 0.41 in urban areas and between 0.26 and 0.41 in rural areas. fluctuations in the Bourguignon index and the Gini index of income have not necessarily been similar. The findings of this study also showed that the size of multidimensional inequality in rural areas is lower than urban areas in most of the years studied. There is an approximate similarity between its trend in urban and rural areas. Inequality in the 1980s was higher than in other periods (despite higher oil revenues than in the previous and subsequent periods and more government shares transferred than in previous periods), in the early 1390s, declined, and then increased again. Finally, the research findings indicate the failure of the egalitarian goals of development programs and thus emphasize the need for a fundamental review of the forthcoming programs with more attention to distribution by the market institution rather than the government.