Since 2014
DETERMINANTS OF ECONOMIC GROWTH IN PAKISTAN: A STRUCTURAL VECTOR AUTO REGRESSION (SVAR) ANALYSIS
CBU International Conference on Innovation in Science and Education
View Archive Info| Field | Value | |
| Title |
DETERMINANTS OF ECONOMIC GROWTH IN PAKISTAN: A STRUCTURAL VECTOR AUTO REGRESSION (SVAR) ANALYSIS
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| Creator |
Ajmair, Muhammad; Mirpur University of Science and Technology
Hussain, Khadim; Mirpur University of Science and Technology Abbassi, Faisal Azeem; Mirpur University of Science and Technology Bhutta, Zahra Masood; National University of Modern Language |
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| Subject |
Structural Var, Remittances, Economic Growth, Grass National Expenditures, Inflation
C82, E22, F24, F43 |
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| Description |
The study follows Structural Vector Auto Regression (SVAR) approach proposed by the so-called AB-model of Amisano and Giannini (1997) to find out relevant macroeconomic determinants of economic growth in Pakistan. Annual data is taken from World Development Indicators (CD-ROM, 2015) for the period 1976-2014. The widely-used Schwarz information criterion and Akaike information criterion is considered for the lag length in each estimated equation. Main findings of the study are that remittances received, gross national expenditures and inflation are found to be the best relevant positive and significant determinants of economic growth. Based on these empirical findings, we conclude that government should focus on overall economic growth augmenting factors while formulating any policy relevant to the concerned sector.
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| Publisher |
CBU, o.p.s.
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| Contributor |
—
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| Date |
2017-12-11
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| Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
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| Format |
application/pdf
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| Identifier |
https://ojs.journals.cz/index.php/EJBE/article/view/1116
10.12955/ejbe.v12i2.1116 |
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| Source |
European Journal of Business and Economics; Vol 12, No 2 (2017)
1804-9699 10.12955/ejbe.v12i2 |
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| Language |
eng
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| Relation |
https://ojs.journals.cz/index.php/EJBE/article/view/1116/1658
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| Rights |
Copyright (c) 2018 Muhammad Ajmair, Khadim Hussain, Faisal Azeem Abbassi, Zahra Masood Bhutta
https://creativecommons.org/licenses/by/3.0/ |
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