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The relationship between road traffic accidents and real economic activity in Spain: common cycles and health issues

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Author Info
Antonio García-ferrer (Depto. de Análisis Económico: Economía Cuantitativa, Universidad Autónoma de Madrid, Madrid, Spain)
Aránzazu De Juan (Depto. de Análisis Económico: Economía Cuantitativa, Universidad Autónoma de Madrid, Madrid, Spain)
Pilar Poncela (Depto. de Análisis Económico: Economía Cuantitativa, Universidad Autónoma de Madrid, Madrid, Spain)
Abstract

This paper analyses the aggregate relationships between traffic accidents and real economic activity in Spain during the last 30 years. Our general approach is based on two basic assumptions: (1) the number of accidents depends on the use of cars and other exogenous variables, and (2) the level of economic activity affects variation in the stock of cars, as well as degree of utilization. We propose a novel turning point characterization for monthly seasonal data that allows to check whether economic and road accident cycles coincide and, to date the beginning and end of their respective cycles. Empirical results from this section are important in establishing posterior causal models and whether or not economic activity and road accidents have a common component in the long run and a varying lead-lag relationship, depending on the cycles. These models will be the basis to check when Spain will achieve the European Union figures in terms of the fatalities|accidents ratio under different scenarios. Empirical results as well as historical experiences from other European countries proved that reducing fatalities is not only a question of diminishing accidents rates. Copyright © 2006 John Wiley & Sons, Ltd.

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File URL: http://hdl.handle.net/10.1002/hec.1186
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Publisher Info
Article provided by John Wiley & Sons, Ltd. in its journal Health Economics.

Volume (Year): 16 (2007)
Issue (Month): 6 ()
Pages: 603-626
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:wly:hlthec:v:16:y:2007:i:6:p:603-626

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Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/5749

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  1. Hess, Gregory D & Iwata, Shigeru, 1997. "Measuring and Comparing Business-Cycle Features," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(4), pages 432-44, October.
  2. Garcia-Ferrer, Antonio & del Hoyo, Juan, 1987. "Analysis of the Car Accident Indexes in Spain: A Multiple Time Series Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(1), pages 27-38, January.
  3. Anne Moller Dano, 2005. "Road injuries and long-run effects on income and employment," Health Economics, John Wiley & Sons, Ltd., vol. 14(9), pages 955-970. [Downloadable!]
  4. Steven D. Levitt & Jack Porter, 2001. "How Dangerous Are Drinking Drivers?," Journal of Political Economy, University of Chicago Press, vol. 109(6), pages 1198-1237, December. [Downloadable!] (restricted)
  5. Bujosa, Marcos & Garcia-Ferrer, Antonio & Young, Peter C., 2007. "Linear dynamic harmonic regression," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 999-1024, October. [Downloadable!] (restricted)
  6. David Bishai & Asma Quresh & Prashant James & Abdul Ghaffar, 2006. "National road casualties and economic development," Health Economics, John Wiley & Sons, Ltd., vol. 15(1), pages 65-81. [Downloadable!]
  7. Carpenter, Christopher, 2004. "How do Zero Tolerance Drunk Driving Laws work?," Journal of Health Economics, Elsevier, vol. 23(1), pages 61-83, January. [Downloadable!] (restricted)
  8. Garcia-Ferrer, A. & de Juan, A. & Poncela, P., 2006. "Forecasting traffic accidents using disaggregated data," International Journal of Forecasting, Elsevier, vol. 22(2), pages 203-222. [Downloadable!] (restricted)
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This page was last updated on 2009-11-16.

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