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Improvements in medical care and technology and reductions in traffic-related fatalities in Great Britain

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Author Info

  • Noland, Robert

    ()

  • Quddus, Mohammed Abdul

    ()

Abstract

Traffic-related fatalities in the UK have fallen dramatically over the last 30 years by about 50%. This decline has been observed in many other developed countries with similar rates of reduction. Many factors have been associated with this decline, including safer vehicle design, increased seat-belt use, changing demographics, and improved infrastructure. One factor not normally considered is the role that improved medical technology may have in reducing total traffic-related fatalities. This study analyzed cross-sectional time-series data in the UK to examine this relationship. Various proxies for medical technology improvement were included in a fixed effects negative binomial model to assess whether they are associated with reductions in traffic-related fatalities. Various demographic variables, such as age cohorts, GDP and changes in per-capita income are also included. The statistical methods employed control for heterogeneity in the data and therefore other factors that may affect the dependent variable for which data are not available do not need to be considered. Results suggest a strong relationship between improved medical technology and reductions in traffic-related fatalities as well as expected relationships with demographic factors. These results could imply that continued reductions in UK fatalities may be more difficult to achieve if medical technology improvements are diminishing, however, demographic changes will likely contribute to a further downward trend.

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File URL: http://www-sre.wu-wien.ac.at/ersa/ersaconfs/ersa02/cd-rom/papers/079.pdf
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Bibliographic Info

Paper provided by European Regional Science Association in its series ERSA conference papers with number ersa02p079.

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Date of creation: Aug 2002
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Handle: RePEc:wiw:wiwrsa:ersa02p079

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  1. Hausman, Jerry A, 1978. "Specification Tests in Econometrics," Econometrica, Econometric Society, vol. 46(6), pages 1251-71, November.
  2. Jerry A. Hausman & Bronwyn H. Hall & Zvi Griliches, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," NBER Technical Working Papers 0017, National Bureau of Economic Research, Inc.
  3. Joseph P. Newhouse, 1992. "Medical Care Costs: How Much Welfare Loss?," Journal of Economic Perspectives, American Economic Association, vol. 6(3), pages 3-21, Summer.
  4. Cutler, David M & McClellan, Mark & Newhouse, Joseph P, 1998. "What Has Increased Medical-Care Spending Bought?," American Economic Review, American Economic Association, vol. 88(2), pages 132-36, May.
  5. McCarthy, Patrick S., 1999. "Public policy and highway safety: a city-wide perspective," Regional Science and Urban Economics, Elsevier, vol. 29(2), pages 231-244, March.
  6. Slade, Eric P. & Anderson, Gerard F., 2001. "The relationship between per capita income and diffusion of medical technologies," Health Policy, Elsevier, vol. 58(1), pages 1-14, October.
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Cited by:
  1. Noland, Robert B., 2005. "Fuel economy and traffic fatalities: multivariate analysis of international data," Energy Policy, Elsevier, vol. 33(17), pages 2183-2190, November.

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