MPSA: Predicting Climate Attitudes One Branch at a Time: A Machine Learning Derived Composite Measure

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Predicting Climate Attitudes One Branch at a Time: A Machine Learning Derived Composite Measure

In Event: Climate Politics, Public Endorsement, and Regime Legitimacy

Sat, April 25, 1:30 to 3:00pm CDT (1:30 to 3:00pm CDT), TBA

Brief Overview

Building a new composite variable for climate attitudes using random forests that can capture intraparty differences among Democratic voters.

Author

Kayla Lunde, University of California, Davis

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