Competitive Model Selection in Algorithmic Targeting
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This paper studies how market competition influences the algorithmic design choices of firms in the context of targeting. Firms face the general trade-off between bias and variance when choosing the design of a supervised learning algorithm in terms of model complexity or the number of predictors to
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美国国家经济研究局创建时间：
2023-03-01
