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Experiments, Machine Learning, and Regression Analysis on Wildfire Suppression Expenditures

Updated: Oct 12, 2023

The project aims to analyze how wildfire suppression operation expenditures can be explained by various factors, including environmental variables, the location of values-at-risk, operational aspects, and incident commanders’ risk aversion. The experiment measures incident commanders’ risk aversion using laboratory experiments recognized in experimental economics literature.

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