Testing the nested fixed-point algorithm in BLP random coefficients demand estimation
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, J. | - |
dc.contributor.author | Seo, K. | - |
dc.date.accessioned | 2021-09-03T14:08:40Z | - |
dc.date.available | 2021-09-03T14:08:40Z | - |
dc.date.created | 2021-06-17 | - |
dc.date.issued | 2017 | - |
dc.identifier.issn | 1229-2893 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/86138 | - |
dc.description.abstract | This paper examines the numerical properties of the nested fixed point algorithm (NFP) using Monte Carlo experiments in the estimation of Berry, Levinsohn, and Pakes’s (1995) random coefficient logit demand model. We find that in speed, convergence and accuracy, nested fixed-point (NFP) approach using Newton’s method performs well like a mathematical programming with equilibrium constraints (MPEC) approach adopted by Dubé, Fox, and Su (2012). © 2017, Korean Econometric Society. All rights reserved. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | Korean Econometric Society | - |
dc.title | Testing the nested fixed-point algorithm in BLP random coefficients demand estimation | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, J. | - |
dc.identifier.scopusid | 2-s2.0-85039857942 | - |
dc.identifier.bibliographicCitation | Journal of Economic Theory and Econometrics, v.28, no.4, pp.1 - 21 | - |
dc.relation.isPartOf | Journal of Economic Theory and Econometrics | - |
dc.citation.title | Journal of Economic Theory and Econometrics | - |
dc.citation.volume | 28 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 21 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART002296223 | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | Nested fixedpoint algorithm | - |
dc.subject.keywordAuthor | Newton’s method | - |
dc.subject.keywordAuthor | Numerical methods | - |
dc.subject.keywordAuthor | Random coefficients logit demand | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.