Abstract
This paper uses seemingly unrelated regression analysis and annual Ohio data for 1975–2000 to estimate a model for six different types of motor vehicle fatalities: car occupants, light truck occupants, large truck occupants, motorcyclists, pedestrians, and pedalcyclists. It finds that while certain government highway safety regulations (e.g., speed limits) and enforcement activities (e.g., drunk driving arrests) have life-saving effects, not all groups are beneficiaries.
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