ROBUST DETERMINANTS OF PUBLIC SECTOR SIZE UNDER UNCERTAINTY: THE STUDY OF OIC MEMBER COUNTRIES (BAYESIAN MODEL AVERAGING APPROACH)

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ALIZADEH MOHAMMAD; GOLKHANDAN ABOLGHASEM

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Journal: Journal of Quantitative Economics Year:2017 | Volume:13 | Issue:4 Page(s): 127-162

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Title

ROBUST DETERMINANTS OF PUBLIC SECTOR SIZE UNDER UNCERTAINTY: THE STUDY OF OIC MEMBER COUNTRIES (BAYESIAN MODEL AVERAGING APPROACH)

Author(s)

ALIZADEH MOHAMMAD | GOLKHANDAN ABOLGHASEM | Issue Writer Certificate

Keywords

PUBLIC SECTORQ2

BAYESIAN MODEL AVERAGING APPROACH (BMA)Q1

UNCERTAINTY OF MODELQ1

ORGANIZATION OF THE ISLAMIC CONFERENCE (OIC) MEMBER COUNTRIESQ2

Abstract

This article examines the robust determinants of PUBLIC SECTOR (government) size in the Organization of the Islamic Conference (OIC) member countries (includeing Iran) during the years of 1996-2013, under UNCERTAINTY OF MODEL. For this purpose, is used of the 24 variables that effect on the government size according to theoretical and empirical studies in three categories: economic, political and social variables. Bayesian Model Averaging approach (BMA) is used, due to convenience feature to consider the uncertainty assumption of model. With estimation of 100000 regressions and Bayesian averaging of coefficients, robust determinants of government size are specified. According to the results, population and dependency ratio variables, respectively, with positive and negative symptoms have a certain effect on PUBLIC SECTOR size. The impact of land area and economic globalization variables on PUBLIC SECTOR size with a positive sign is relatively important. Coefficients and significant of dummy variables used in the model also shows that countries with a federal structure and countries with presidential systems, have a smaller PUBLIC SECTOR size and oil-exporting countries, have larger PUBLIC SECTOR size than the other countries studied.

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APA: Copy

ALIZADEH, MOHAMMAD, & GOLKHANDAN, ABOLGHASEM. (2017). ROBUST DETERMINANTS OF PUBLIC SECTOR SIZE UNDER UNCERTAINTY: THE STUDY OF OIC MEMBER COUNTRIES (BAYESIAN MODEL AVERAGING APPROACH). JOURNAL OF QUANTITATIVE ECONOMICS (QUARTERLY JOURNAL OF ECONOMICS REVIEW), 13(4), 127-162. SID. https://sid.ir/paper/110634/en

Vancouver: Copy

ALIZADEH MOHAMMAD, GOLKHANDAN ABOLGHASEM. ROBUST DETERMINANTS OF PUBLIC SECTOR SIZE UNDER UNCERTAINTY: THE STUDY OF OIC MEMBER COUNTRIES (BAYESIAN MODEL AVERAGING APPROACH). JOURNAL OF QUANTITATIVE ECONOMICS (QUARTERLY JOURNAL OF ECONOMICS REVIEW)[Internet]. 2017;13(4):127-162. Available from: https://sid.ir/paper/110634/en

IEEE: Copy

MOHAMMAD ALIZADEH, and ABOLGHASEM GOLKHANDAN, “ROBUST DETERMINANTS OF PUBLIC SECTOR SIZE UNDER UNCERTAINTY: THE STUDY OF OIC MEMBER COUNTRIES (BAYESIAN MODEL AVERAGING APPROACH),” JOURNAL OF QUANTITATIVE ECONOMICS (QUARTERLY JOURNAL OF ECONOMICS REVIEW), vol. 13, no. 4, pp. 127–162, 2017, [Online]. Available: https://sid.ir/paper/110634/en

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