Measuring the significance of policy outputs with positive unlabeled learning
Identifying important policy outputs has long been of interest to political scientists. In this work, we propose a novel approach to the classification of policies. Instead of obtaining and aggregating expert evaluations of significance for a finite set of policy outputs, we use experts to identify...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Cambridge University Press
2020
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