A Markov Chain Monte Carlo procedure to generate revealed preference consistent datasets

نویسندگان

چکیده

This paper presents Markov-Chain-Monte-Carlo (MCMC) procedures to sample uniformly from the collection of datasets that satisfy some revealed preference test. The MCMC for GARP test combines a Gibbs-sampler with simple hit and run step. It is shown has uniform distribution as its unique invariant it converges this at an exponential rate.

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ژورنال

عنوان ژورنال: Journal of Mathematical Economics

سال: 2021

ISSN: ['1873-1538', '0304-4068']

DOI: https://doi.org/10.1016/j.jmateco.2021.102523