This paper uses both regional data and aggregated time series data to determine what factors influence the number of accidents and the accident outcome.
Using time series data, it is found that the number of traffic fatalities increases for both per capita and per person kilometer travelled during economic booms. This indicates that the death risk rises not only because of increased mileage or motorization during booms.
Using panel data, it is found that traffic fatalities decrease with unemployment.
The paper also examines whether drunk-driving is correlated with unemployment.
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