@article { author = {Hadizadeh, Arash}, title = {Income Inequality Convergence among Iran’s Provinces: Finding New Evidence Using Parametric and Nonparametric Approaches}, journal = {Iranian Economic Review}, volume = {24}, number = {4}, pages = {907-921}, year = {2020}, publisher = {University of Tehran}, issn = {1026-6542}, eissn = {2588-6096}, doi = {10.22059/ier.2020.78824}, abstract = {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. }, keywords = {convergence hypothesis,Distribution Dynamics,Dynamic Panel Data,Gini Index,Income Inequality}, url = {https://ier.ut.ac.ir/article_78824.html}, eprint = {https://ier.ut.ac.ir/article_78824_59a6b5dc863762d4a415fc1940ec2ca2.pdf} }