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We consider a platform which provides probabilistic forecasts to a customer using some algorithm. We introduce a concept of miscalibration, which measures the discrepancy between the forecast and the truth. We characterize the platform's optimal equilibrium when it incurs some cost for...
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We study platform markets in which the information about users' preferences is dispersed. First, we show how the dispersion of information introduces idiosyncratic uncertainty about participation decisions and how the latter shapes the elasticity of the demands and the equilibrium prices. We...
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recommendation and targeted advertising on online platforms. We show that by supplying more information, the platform improves match … efficiency but reduces sellers' incentives to advertise, which leads to a higher commission but a lower advertising revenue. The …
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