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Non-random Assignment, Vehicle Safety Inspection Laws and Highway Fatalities

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  • Leigh, J Paul

Abstract

In this study, the distribution of inspection laws across states is endogenously determined by the relative strengths of lobbying groups within states. Previous studies that treat the laws as exogenous and find a 5 to 15 percent reduction in fatalities may have produced biased results. A selection bias model is developed in which non-random assignment is taken into account. Two equations are estimated: one explaining how many inspections are required, and the other explaining the effects of the inspections on fatalities per capita. Using single-equation techniques, results are obtained that are similar to prior studies. In the two-equation model that accounts for non-random assignment, inspection laws are not found to significantly reduce fatalities per capita. Copyright 1994 by Kluwer Academic Publishers

Suggested Citation

  • Leigh, J Paul, 1994. "Non-random Assignment, Vehicle Safety Inspection Laws and Highway Fatalities," Public Choice, Springer, vol. 78(3-4), pages 373-387, March.
    • Handle: RePEc:kap:pubcho:v:78:y:1994:i:3-4:p:373-87
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    Cited by:

    1. Harrington, Winston & McConnell, Virginia D., 1999. "Coase and Car Repair: Who Should Be Responsible for Emissions of Vehicles in Use?," Discussion Papers 10911, Resources for the Future.
    2. Peck, Dana & Scott Matthews, H. & Fischbeck, Paul & Hendrickson, Chris T., 2015. "Failure rates and data driven policies for vehicle safety inspections in Pennsylvania," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 252-265.
    3. Thomas A. Garrett & Gary A. Wagner, 2009. "Red Ink in the Rearview Mirror: Local Fiscal Conditions and the Issuance of Traffic Tickets," Journal of Law and Economics, University of Chicago Press, vol. 52(1), pages 71-90, February.
    4. Kuniyoshi Saito, 2009. "Evaluating Automobile Inspection Policy Using Auto Insurance Data," Contemporary Economic Policy, Western Economic Association International, vol. 27(2), pages 200-215, April.
    5. Potters, Jan & Sloof, Randolph, 1996. "Interest groups: A survey of empirical models that try to assess their influence," European Journal of Political Economy, Elsevier, vol. 12(3), pages 403-442, November.

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