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Partially Identified Rankings from Pairwise Interactions

Crippa, Federico et al.
arXiv (OAI Expanded) · Papers
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econometrics
This paper considers the problem of ranking objects based on their latent merits using data from pairwise interactions. We allow for incomplete observation of these interactions and study what can be inferred about rankings in such settings. First, we show that identification of the ranking depends
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