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This page uses Javascript. Please enable Javascript in your browser. Skip to Content Japanese English Chinese About RIETI Site Map Help Contact Discussion Papers Search Site Search Menu Research Areas Research Programs (FY2024-2028) Research Programs (FY2020-2023) Research Programs (FY2016-2019) Research Programs (FY2011-2015) Policy Research Domains (FY2006-2010) Projects Survey Fellows According to Title Alphabetical order RIETI Alumni Research/Policy Papers Discussion Papers (English) Discussion Papers (Japanese) Policy Discussion Papers (English) Policy Discussion Papers (Japanese) Technical Papers (English) Technical Papers (Japanese) Non Technical Summaries List of Articles in Journals Research Digest Discussion Papers Search Publications RIETI Books (English) RIETI Books (Japanese) History of Japan's Trade and Industry Policy Authors' Words Other Publications (English) Other Publications (Japanese) Events Symposiums Workshops BBL Seminars Archived Seminar Series Data JIP Database R-JIP Database CIP Database Industry-Specific Nominal and Real Effective Exchange Rates AMU and AMU Deviation Indicators JSTAR RIETI-TID RIETI FDI Database ICPA Project Links Articles Column Special Series Newspapers & Magazines Fellows' Works VoxEU Column From IZA Perspectives from Around the World Other Contents RIETI Report Policy Update Keizai Sangyo Journal (METI Journal) Research Areas Fellows Research/Policy Papers Publications Events Data Articles Site Map Technical Issues Coontact Discussion Papers Search Close HomeResearch/Policy PapersDiscussion Papers (English)FY2023 Approximating Choice Data by Discrete Choice Models Print Author Name Haoge CHANG (Microsoft Research) / NARITA Yusuke (Visiting Fellow, RIETI) / SAITO Kota (California Institute of Technology) 　　　　 Creation Date/NO. March 2024 24-E-043 Download / Links Download paper [PDF:746KB] 　　　　 Abstract We obtain a necessary and sufficient condition under which random-coefficient discrete choice models, such as mixed-logit models, are rich enough to approximate any nonparametric random utility models arbitrarily well across choice sets. The condition turns out to be the affine-independence of the set of characteristic vectors. When the condition fails, resulting in some random utility models that cannot be closely approximated, we identify preferences and substitution patterns that are challenging to approximate accurately. We also propose algorithms to quantify the magnitude of approximation errors. Research/Policy Papers Discussion Papers (English) FY2024 FY2023 FY2022 FY2021 FY2020 FY2019 FY2018 FY2017 FY2016 FY2015 FY2014 FY2013 FY2012 FY2011 FY2010 FY2009 FY2008 FY2007 FY2006 FY2005 FY2004 FY2003 FY2002 FY2001 MITI/RI (before FY2001) Discussion Papers (Japanese) Policy Discussion Papers (English) Policy Discussion Papers (Japanese) Technical Papers (English) Technical Papers (Japanese) Non Technical Summaries List of Articles Published in Peer-reviewed Academic Journals Research Digest Links Discussion Papers Search Communications Newsletter RSS Feed Facebook X YouTube Research Areas Research Programs (FY2024-2028) Research Programs (FY2020-2023) Research Programs (FY2016-2019) Research Programs (FY2011-2015) Policy Research Domains (FY2006-2010) Projects Survey Fellows Research/Policy Papers Discussion Papers (English) Discussion Papers (Japanese) Policy Discussion Papers (English) Policy Discussion Papers (Japanese) Technical Papers (English) Technical Papers (Japanese) Non Technical Summaries List of Articles in Journals Research Digest Discussion Papers Search Publications RIETI Books (English) RIETI Books (Japanese) History of Japan's Trade and Industry Policy Authors' Words Other Publications (English) Other Publications (Japanese) Events Symposiums Workshops BBL Seminars Archived Seminar Series Data JIP Database R-JIP Database CIP Database Industry-Specific Nominal and Real Effective Exchange Rates AMU and AMU Deviation Indicators JSTAR RIETI-TID RIETI FDI Database ICPA Project Links Articles Column Special Series Newspapers & Magazines Fellows' Works VoxEU Column From IZA Perspectives from Around the World Other Contents RIETI Report Policy Update Keizai Sangyo Journal (METI Journal) About RIETI Privacy Policy Site Policy Site Map Help Contact METI Web Site Research Institute of Economy, Trade and Industry, IAA (JCN 6010005005426)JCN: Japan Corporate Number Opinions expressed or implied on this website are solely those of the author, and do not necessarily represent the views of the Research Institute of Economy, Trade and Industry (RIETI).Titles, numbers, specific names, etc. on this website are as of the date of publication. In the case of reposting material from our website, contact us beforehand. Top