Volume 15, Issue 4 (2016)
QJER 2016, 15(4): 25-50 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Ghaffari H, Jalouli M, Changi Ashtiani A. Social Instability and Economic Growth in Iran: An Application of Auto- Regressive Distributed Lag Model. QJER 2016; 15 (4) :25-50
URL: http://ecor.modares.ac.ir/article-18-10064-en.html
URL: http://ecor.modares.ac.ir/article-18-10064-en.html
1- Associate Professor in Economics, Payame Noor University (PNU)
2- M. A. in Economics, Iranian National Tax Administration, Markazi Province Office,
3- Ph.D. Student in Economics, Payame Noor University
2- M. A. in Economics, Iranian National Tax Administration, Markazi Province Office,
3- Ph.D. Student in Economics, Payame Noor University
Abstract: (9932 Views)
Besides economic factors affecting economic growth, some cultural, political and social factors influence economic growth and development too; inter alia, social components play important roles. Social instability originating from social threats is one of the most important social components, which affects economic growth.
This study aims to investigate the consequences of social instability on economic growth in Iran during 1981-2011. For this purpose, the Auto- Regressive Distributed LagModel (ARDL) and Error Correction Model (ECM) are estimated by Eviews.5 and Microfit 4.1. Using Principal Component Analysis (PCA), an index for social instability (absence of social capital) is made. The results show that physical capital, labor and social instability have the highest effectiveness on economic growth, respectively. Paying attention of policymakers to improving social conditions and reducing social instabilities may lead to higher economic growth.
Keywords: Social instability, economic growth, Principal component analysis (PCA), Auto- regressive distributed lag model (ARDL)
Received: 2013/07/21 | Accepted: 2013/10/30 | Published: 2016/01/21
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |