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Sample Selection In The Estimation Of Air Bag And Seat Belt Effectiveness

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  • Steven D. Levitt
  • Jack Porter

Abstract

Because data are collected for only fatal crashes, it is difficult to accurately measure seat belt and air bag effectiveness. The use of safety devices influences survival rates which in turn determine whether a crash is included in the sample, leading to sample selection bias. We propose a simple solution to the selection problem: limiting the sample to crashes in which someone in a different vehicle dies. Empirically, we find seat belts more effective and air bags to be less effective than previously found. The cost per life saved through seat belts is approximately $30,000, compared to $1.8 million for air bags. © 2001 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology

Suggested Citation

  • Steven D. Levitt & Jack Porter, 2001. "Sample Selection In The Estimation Of Air Bag And Seat Belt Effectiveness," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 603-615, November.
    • Handle: RePEc:tpr:restat:v:83:y:2001:i:4:p:603-615
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    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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