EconPapers    
Economics at your fingertips  
 

Markov Chain Monte Carlo Procedure to Generate Revealed Preference Consistent Datasets

Thomas Demuynck

No 2020-33, Working Papers ECARES from ULB -- Universite Libre de Bruxelles

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

Keywords: Revealed preference; Markov Chain Monte Carlo; Bronars Power (search for similar items in EconPapers)
JEL-codes: C63 D11 (search for similar items in EconPapers)
Pages: 35 p.
Date: 2020-08
New Economics Papers: this item is included in nep-dcm and nep-ore
References: View references in EconPapers View complete reference list from CitEc
Citations:

Published by:

Downloads: (external link)
https://dipot.ulb.ac.be/dspace/bitstream/2013/3102 ... -DEMUYNCK-markov.pdf Full text for the whole work, or for a work part (application/pdf)

Related works:
Journal Article: A Markov Chain Monte Carlo procedure to generate revealed preference consistent datasets (2021) Downloads
Working Paper: A Markov Chain Monte Carlo procedure to generate revealed preference consistent datasets (2021) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eca:wpaper:2013/310214

Ordering information: This working paper can be ordered from
http://hdl.handle.ne ... lb.ac.be:2013/310214

Access Statistics for this paper

More papers in Working Papers ECARES from ULB -- Universite Libre de Bruxelles Contact information at EDIRC.
Bibliographic data for series maintained by Benoit Pauwels (bpauwels@ulb.ac.be).

 
Page updated 2025-03-22
Handle: RePEc:eca:wpaper:2013/310214