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We consider a probabilistic approach to the problem of assigning K indivisible identical objects to a set of agents with single-peaked preferences. Using the ordinal extension of preferences, we characterize the class of uniform probabilistic rules by Pareto efficiency, strategy-proofness, and...
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This paper proposes finite-sample procedures for testing the SURE specification in multi-equation regression models, i.e. whether the disturbances in different equations are contemporaneously uncorrelated or not.
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In this paper, we develop finite-sample inference procedures for stationary and nonstationary autoregressive (AR) models.
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