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  • 标题:DETERMINANTS OF ECONOMIC GROWTH IN PAKISTAN: A STRUCTURAL VECTOR AUTO REGRESSION (SVAR) ANALYSIS
  • 本地全文:下载
  • 作者:Muhammad Ajmair ; Khadim Hussain ; Faisal Azeem Abbassi
  • 期刊名称:European Journal of Business and Economics
  • 印刷版ISSN:1804-5839
  • 电子版ISSN:1804-9699
  • 出版年度:2017
  • 卷号:12
  • 期号:2
  • 语种:English
  • 出版社:Central Bohemia University
  • 其他摘要: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.
  • 其他关键词:Structural Var; Remittances; Economic Growth; Grass National Expenditures; Inflation
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