The Determinants of Gini Coefficient in Iran Based on Bayesian Model Averaging
Mohsen Mehrara () and
Mojtaba Mohammadian ()
Additional contact information
Mohsen Mehrara: Faculty of Economics, University of Tehran, Tehran, Iran
Mojtaba Mohammadian: University of Tehran, Tehran, Iran
Hyperion Economic Journal, 2015, vol. 3, issue 1, 20-28
This paper has tried to apply BMA approach in order to investigate important influential variables on Gini coefficient in Iran over the period 1976-2010. The results indicate that the GDP growth is the most important variable affecting the Gini coefficient and has a positive influence on it. Also the second and third effective variables on Gini coefficient are respectively the ratio of government current expenditure to GDP and the ratio of oil revenue to GDP which lead to an increase in inequality. This result is corresponding with rentier state theory in Iran economy. Injection of massive oil revenue to Iran's economy and its high share of the state budget leads to inefficient government spending and an increase in rent-seeking activities in the country. Economic growth is possibly a result of oil revenue in Iran economy which has caused inequality in distribution of income.
Keywords: Gini coefficient; Bayesian Model Averaging (BMA) (search for similar items in EconPapers)
JEL-codes: H53 C01 I38 (search for similar items in EconPapers)
References: Add references at CitEc
Citations Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:hyp:journl:v:3:y:2015:i:1:p:20-28
Access Statistics for this article
Hyperion Economic Journal is currently edited by Iulian Panait
More articles in Hyperion Economic Journal from Faculty of Economic Sciences, Hyperion University of Bucharest, Romania Hyperion University, Faculty of Economic Sciences, Calea Calarasilor no. 169, district 3, Bucharest, 030615, Romania. Contact information at EDIRC.
Series data maintained by Iulian Panait ().