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We propose the use of machine learning methods to estimate inequality of opportunity and to illustrate that regression trees and forests represent a substantial improvement over existing approaches: they reduce the risk of ad hoc model selection and trade off upward and downward bias in...
To control sequential public bad productions under imperfect monitoring, this paper proposes a penalty lottery: a violator passes the responsibility of the fine to the next potential violator with some probability and pays all the accumulated fines with the complementary probability. The penalty...
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