The Value of Forecast Improvements: Evidence from Advisory Lead Times and Vehicle Crashes
SSRN Electronic Journal
2022
- 3Citations
- 925Usage
- 1Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
Significant investments are directed toward improving the accuracy and early availability of forecasts. However, the value of longer lead times on forecasts is unclear. Using data on winter weather advisories and vehicle crashes in the US, I show that advisories with longer lead times reduce crashes, even when they are less accurate than advisories with shorter lead times. Further, marginal benefits do not decrease with lead time. The benefits come from individual and institutional responses. When advisories arrive earlier, people visit fewer places, and snowplow crews intensify the road maintenance operations. These results have policy implications for providing effective forecasts.
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