چکیده:
Although, the income mobility and income inequality are two interrelated concepts, but in actual practice, they are quite distinct from each other per se. In fact, income inequality will deal with dispersion of people income at a point of time, while the income mobility will concern more about the impact of people movement on distribution of income in the span of two or more points of time in toto. Hence the people welfare in two communities with similar level of income inequality, but different pattern of income mobility will never be identical, quid pro qua. In this study, an attempt is made to investigate the impact of income mobility on income inequality in Iran, ipso facto. In this context, we have tried to apply the econometric technique of Auto Regressive Distributed Lags viz-a-viz using the annual time series data for the period of 1984-2013. The results prima facie indicate that in the long-run, the income mobility bears negative but significant effect on income inequality and the error correction coefficient shows that in each year, about 0.58 of short-term imbalances will be adjusted to attain the long-run equilibrium, sine qua non.
خلاصه ماشینی:
Based on the findings of the research, in the long run, income mobility has a significant negative effect on inequality, and the error correction term coefficient shows that in each year, approximately 0.
Based on Deaton's suggestion regarding the creation of a quasi-panel approach, first consider the following simple linear model, which is static: Take: (Refer to page image) where i is the index of individuals observed over time, x,it are the explanatory variables, μi are individual fixed effects, and v represents the error term.
3. Research Background Salehi-Isfahani and Majbouri 2 (2010), by examining income mobility and poverty dynamics using the ordinary least squares method, reached the conclusion that in the last four decades, poverty in Iran has decreased, while inequality has been relatively high and income mobility has been low.
Trend of change in income mobility in the years 1984-2013 (percent) (Refer to the page image) Source: Findings of this research.
Trend of change in income inequality in the years 1984-2013 (Gini coefficient) (Refer to the page image) Source: Findings of this research.
Presentation of the model and examination of variables affecting income distribution Given the economic and social factors affecting income inequality, the model presented in this research is as follows: gini=f(retatiʋe mobitity,gdp,p,pop) The dependent variable in this model is the Gini coefficient as one of the indicators for evaluating changes in income distribution, and the independent variables are, respectively, relative mobility (one type of income mobility), gross domestic product, inflation rate, and population growth.
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