The Shifting Drivers of Residential Energy Tax Credit Usage: An Ensemble Machine Learning Approach

This longitudinal machine learning analysis reveals that drivers of residential energy tax credit adoption have shifted over time, making educational attainment a key driver and revealing structural barriers that exclude less-educated households from utilizing these tax incentives.

Posted by buchanle on Tuesday, June 2nd, 2026 in May 2026, educational attainment, incentives, random forest regressor, residential energy tax credit, temporal analysis

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