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

Ageli, Mohammed Moosa (2013): Road Traffic Accidents in Saudi Arabia: An ARDL Approach and Multivariate Granger Causality. Published in: International Journal of Economics and Finance , Vol. 5, No. 7 (20 June 2013): 26`-31.

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 ARDL 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.

• Item Type: MPRA Paper
• Language: English
• Keywords: Road Traffic Accident, Granger Causality, (ARDL) Model, Co-integration Test, Saudi Arabia
• Subjects: O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development > O11 - Macroeconomic Analyses of Economic Development; R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R4 - Transportation Economics

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