Affiliation:
1. Wayne State University, USA
Abstract
Large truck crashes remain a significant problem in the truckload sector of the US motor carrier industry. Employing a unique firm-level data set from a large US truckload motor carrier, we identified two different driver groups hired during two distinct pay regimes. Before-and-after data on wages and safety outcomes created a natural experiment. Higher wages paid to experienced drivers in the new pay regime led to higher driver retention rates. Experienced drivers had lower average crash costs and were more productive during each tenure month. Experienced drivers had a much larger expected discounted net present value when compared with inexperienced drivers. As the previously inexperienced drivers gained additional experience, their crash probabilities and their value began to mirror those of the experienced drivers, demonstrating the value of greater tenure. This research supports ‘safe rates’ public policy because safety pays – for trucking companies, for cargo owners and for society. JEL Codes: J24, J28, J33
Subject
Organizational Behavior and Human Resource Management,Economics and Econometrics
Cited by
11 articles.
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