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The use of coarse categories is prevalent in various situations and has been linked to biased economic outcomes, ranging from discrimination against minorities to empirical anomalies in financial markets. In this paper we study economic rationales for categorizing coarsely. We think of the way...
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exploration and calibration of ABMs combining supervised machine-learning and intelligent sampling to build a surrogate meta … paper merges model simulation and output analysis into a surrogate meta-model, which substantially ease ABM calibration. We …
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