Road Traffic Accidents in Saudi Arabia: An ADRL Approach and Multivariate Granger Causality

Mohammed Moosa Ageli

MPRA Paper from University Library of Munich, Germany

Abstract: The present paper examine the nexus between road traffic accident (RTA) and some relevant variables in Saudi Arabia over the period 1971- 2012, using the autoregressive distributed lag ADRL model (Pesaran and Shin, 1999) for co-integration in Saudi Arabia, with the co-integration test. Results show that the variables are co-integrated in Saudi Arabia, moreover, the overall Granger causality results present that road traffic accidents, population and GDP, road mails, registered vehicles, and the number of driver license are Granger-causes each other in Saudi Arabia. With these findings, we affirm that there is a strong relationship and effect between road traffic accidents and its population, GDP, road mails, registered vehicles, and the number of driver license. The findings suggest that the ECTt-1 coefficients are negative signed and statistically significant in all VECMs, implying that there is bi-directional causality between the variables of interest in the long run.

Keywords: Road Traffic Accident; Granger Causality; (ADRL) Model; Co-integration Test; Saudi Arabia (search for similar items in EconPapers)
JEL-codes: O11 R4 (search for similar items in EconPapers)
Date: 2013-04-24
New Economics Papers: this item is included in nep-ara, nep-fdg and nep-tre
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Citations: View citations in EconPapers (2)

Published in International Journal of Economics and Finance 7.5(2013): pp. 26`-31

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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:47760

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