The Limits of Identification in Discrete Choice

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Date

20 mars 2024

Type de document
Périmètre
Identifiant
  • 2403.13773
Collection

arXiv

Organisation

Cornell University




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Christopher P. Chambers et al., « The Limits of Identification in Discrete Choice », arXiv - économie


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We study identification and linear independence in random utility models. We characterize the dimension of the random utility model as the cyclomatic complexity of a specific graphical representation of stochastic choice data. We show that, as the number of alternatives grows, any linearly independent set of preferences is a vanishingly small subset of the set of all preferences. We introduce a new condition on sets of preferences which is sufficient for linear independence. We demonstrate by example that the condition is not necessary, but is strictly weaker than other existing sufficient conditions.

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