The Effectiveness of Drinking and Driving Policies for Different Alcohol-Related Fatalities: A Quantile Regression Analysis

Yung-Hsiang Ying, Chin-Chih Wu and Koyin Chang
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Yung-Hsiang Ying: College of Management, National Taiwan Normal University, Taipei, 106, Taiwan
Chin-Chih Wu: Institute of China and Asia-Pacific Studies, National Sun Yat-sen University, 70 Lienhai Rd., Kaohsiung 804, Taiwan
Koyin Chang: Department of Healthcare Information and Management, Ming Chuan University, 250 Chung-Shan N. Rd., Taipei 111, Taiwan

IJERPH, 2013, vol. 10, issue 10, 1-17

Abstract: To understand the impact of drinking and driving laws on drinking and driving fatality rates, this study explored the different effects these laws have on areas with varying severity rates for drinking and driving. Unlike previous studies, this study employed quantile regression analysis. Empirical results showed that policies based on local conditions must be used to effectively reduce drinking and driving fatality rates; that is, different measures should be adopted to target the specific conditions in various regions. For areas with low fatality rates (low quantiles), people’s habits and attitudes toward alcohol should be emphasized instead of transportation safety laws because “preemptive regulations” are more effective. For areas with high fatality rates (or high quantiles), “ ex-post regulations” are more effective, and impact these areas approximately 0.01% to 0.05% more than they do areas with low fatality rates.

Keywords: quantile regression analysis; alcohol-related traffic fatalities; policies (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2013
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