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Abstract This paper studies the political determinants of inequalities in government interventions under majoritarian (MAJ) and proportional representation (PR) systems. We propose a probabilistic voting model of electoral competition with highly targetable government interventions and heterogeneous localities. We uncover a novel relative electoral sensitivity effect that affects government interventions only under MAJ systems. This effect tends to reduce inequality in government interventions under MAJ systems when districts are composed of sufficiently homogeneous localities. This effect goes against the conventional wisdom that MAJ systems are necessarily more conducive to inequality than PR systems. We illustrate the empirical relevance of our results with numerical simulations on possible reforms of the US Electoral College.
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More, May Not Be Better: Insights from Applying Deep Reinforcement Learning for Pedagogical Policy Induction
Presents findings that more DRL-derived pedagogical interventions may not improve outcomes and identifies scenarios where simpler or fewer interventions are more effective.
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- Award ID(s):
- 2013502
- PAR ID:
- 10609443
- Publisher / Repository:
- Proceedings of the 17th International Conference on Educational Data Mining / International Educational Data Mining Society
- Date Published:
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Accepted Manuscript1.0
- Conference Proceeding:
- The DOI is not currently available.
