%0 Journal Article
%T Income Inequality Convergence among Iran’s Provinces: Finding New Evidence Using Parametric and Nonparametric Approaches
%J Iranian Economic Review
%I University of Tehran, Faculty of Economics
%Z 1026-6542
%A Hadizadeh, Arash
%D 2019
%\ 03/04/2019
%V
%N
%P -
%! Income Inequality Convergence among Iran’s Provinces: Finding New Evidence Using Parametric and Nonparametric Approaches
%K Keywords: Convergence Hypothesis
%K Distribution Dynamics
%K Dynamic Panel Data
%K Gini Index
%K Income Inequality. JEL Classifications: C21
%K D31
%K O15
%K O47
%R 10.22059/ier.2019.70027
%X 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 stead 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.
%U