The Effect of Financial Development on Income Distribution in Developing Countries and Developed Countries: GMM Method
Subject Areas : Financial Economicsعلی اکبر احمدی 1 , محمد اسماعیل رستمی نیا 2 , علیرضا غیبی 3
1 - استادیار، عضو هیئت علمی و رئیس دانشگاه پیام نور غرب تهران، تهران، ایران
2 - استادیار، عضو هیئت عملی دانشگاه پیام نور غرب تهران، تهران، ایران
3 - دانشجوی کارشناسی ارشد مدیریت دولتی، گرایش مدیریت مالی دانشگاه پیام نور غرب تهران. تهران، ایران،
Keywords: Income distribution, the Gini coefficient, Keywords: Financial Development, Poverty Reduction Panel Data. OGMM JEL Classification: O16, O29, O47, G19, G23,
Abstract :
Considering that the main objective of this study was to investigate the effect of financial development on income distribution (Gini index) in selected developing countries and developed countries in the selected time period (2000-2010) is empirical modeling study using dynamic panel generalized moments (GMM) and use the variables GDP per capita, trade openness indicator, the indicator of financial development, inflation, consumer price index and the Gini coefficient was estimated. The results of the estimation of the model in both developed and developing countries distinguishing short and long term effects is discussed. These results indicate that the coefficient of financial development in developing countries (0/02) have opposite signs developed countries (-0/04) is. As income inequality and financial development theories, different estimates of the relationship between these two variables stated, Financial development in developing countries, the increase in income inequality and the increase in average household income and access many brokers and financial services, reduces income inequality. While in developed countries a negative linear relationship between financial development and income inequality that Byangrkahsh income inequality is due to the development of markets and financial intermediaries. Coefficient of per capita income, inflation and the value of the Gini coefficient by delays in developing countries and developed signs consistent with the model assumptions.
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