Income Inequality Convergence among Iran’s Provinces: Finding New Evidence Using Parametric and Nonparametric Approaches | ||
| Iranian Economic Review | ||
| دوره 24، شماره 4، زمستان 2020، صفحه 907-921 اصل مقاله (1000.32 K) | ||
| شناسه دیجیتال (DOI): 10.22059/ier.2020.78824 | ||
| نویسنده | ||
| Arash Hadizadeh* | ||
| Department of Economics, Qazvin Branch, Islamic Azad University, Qazvin, Iran. | ||
| چکیده | ||
| The income inequality convergence is the second part of neoclassical growth theory. The hypothesis predicts that income inequality among countries/provinces/regions disappear over the time. In this paper, the income inequality convergence is investigated among Iran’s provinces over the period 2000–2015. For this purpose, we employed parametric approach (GMM-system estimator of dynamic panel data model), and non-parametric approach (distribution dynamics). The distribution dynamics approach indicated that the Gini index of Iran’s provinces were converged toward unique steady state about 0.3, and the results of absolute β convergence hypothesis indicated that the Gini index of Iran’s provinces moved halfway to the steady state in about 17 years after 2015. | ||
| کلیدواژهها | ||
| Convergence Hypothesis؛ Distribution Dynamics؛ Dynamic Panel Data؛ Gini Index؛ Income Inequality | ||
| مراجع | ||
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