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Value-added models (VAMs) are increasingly used to measure school effectiveness. Yet random variation in school … schools. In this paper, I use random assignment from a public school choice lottery to test the predictive power of VAM … specifications. In VAMs with minimal controls and two or more years of prior data, I fail to reject the hypothesis that school …
Persistent link: https://www.econbiz.de/10013060696
Value-added models (VAMs) are increasingly used to measure school effectiveness. Yet random variation in school … schools. In this paper, I use random assignment from a public school choice lottery to test the predictive power of VAM … specifications. In VAMs with minimal controls and two or more years of prior data, I fail to reject the hypothesis that school …
Persistent link: https://www.econbiz.de/10012458860
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We analyze the effects of better algorithmic demand forecasting on collusive profits. We show that the comparative statics crucially depend on the whether actions are observable. Thus, the optimal antitrust policy needs to take into account the institutional settings of the industry in question....
Persistent link: https://www.econbiz.de/10013093034
Predictive AI is increasingly used to guide decisions on agents. I show that even a bias-neutral predictive AI can potentially amplify exogenous (human) bias in settings where the predictive AI represents a cost-adjusted precision gain to unbiased predictions, and the final judgments are made by...
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