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The value of forecast improvements: evidence from advisory lead times and vehicle crashes

Anand, Vaibhav (2022): The value of forecast improvements: evidence from advisory lead times and vehicle crashes.

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Abstract

Advances in predictive technologies are improving forecasts of risk, but do better forecasts result in better risk management? Using data on winter forecasts and vehicle crashes from 11 states in the US, I investigate the value of improvements in forecast lead times. I show that winter advisories with longer lead times reduce crashes significantly, even when they are less accurate than advisories with shorter lead times. These benefits come from both the individual and institutional response to advisory lead times. When advisories arrive earlier, people visit fewer places, and snowplow crews increase the intensity of road maintenance operations.

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