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

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.