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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...
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Models defined by moment inequalities have become a standard modeling framework for empirical economists, spreading …
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The present study examines the assumptions, modeling structure, and preliminary results of DICE-2023, the revised …
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The key purpose of corporate finance is to provide methods to compute the value of projects. The baseline textbook recommendation is to use the Present Value (PV) formula of expected cash flows, with a discount rate based on the CAPM. In this paper, we ask what is, empirically, the best...
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The primary motivation behind quantitative modeling in international trade and many other fields is to shed light on …
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