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• W2951055339 abstract "We consider the problem of optimal dynamic information acquisition from many correlated information sources. Each period, the decision-maker jointly takes an action and allocates a fixed number of observations across the available sources. His payoff depends on the actions taken and on an unknown state. In the canonical setting of jointly normal information sources, we show that the optimal dynamic information acquisition rule proceeds myopically after finitely many periods. If signals are acquired in large blocks each period, then the optimal rule turns out to be myopic from period 1. These results demonstrate the possibility of robust and simple optimal information acquisition, and simplify the analysis of dynamic information acquisition in a widely used informational environment." @default.
• W2951055339 created "2019-06-27" @default.
• W2951055339 creator A5017741738 @default.
• W2951055339 creator A5028301115 @default.
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• W2951055339 date "2017-03-18" @default.
• W2951055339 modified "2023-09-23" @default.
• W2951055339 title "Optimal and Myopic Information Acquisition" @default.
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• W2951055339 doi "https://doi.org/10.48550/arxiv.1703.06367" @default.
• W2951055339 hasPublicationYear "2017" @default.
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