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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/38320
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dc.contributor.authorCampbell, Dannyen_UK
dc.contributor.authorSandorf, Erlend Danckeen_UK
dc.contributor.authorBörger, Tobiasen_UK
dc.contributor.authorDekker, Thijsen_UK
dc.date.accessioned2026-09-18T00:25:17Z-
dc.date.available2026-09-18T00:25:17Z-
dc.date.issued2026-09en_UK
dc.identifier.other100624en_UK
dc.identifier.urihttp://hdl.handle.net/1893/38320-
dc.description.abstractMixed logit models are widely used to recover individual-level preferences for secondary analysis, yet both first-stage sampling uncertainty and variability in conditional distributions are often overlooked. This technical note illustrates the implications of ignoring these sources of uncertainty and provides reproducible R code, compatible with the apollo package, to better approximate the empirical sampling distribution and improve the reliability of second-stage inference.en_UK
dc.language.isoenen_UK
dc.publisherElsevier BVen_UK
dc.relationCampbell D, Sandorf ED, Börger T & Dekker T (2026) Inference in downstream analysis using individual-level posterior means from mixed logit models. <i>Journal of Choice Modelling</i>, 60, Art. No.: 100624. https://doi.org/10.1016/j.jocm.2026.100624en_UK
dc.rightsThis is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. You are not required to obtain permission to reuse this article.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectMixed logiten_UK
dc.subjectSecond-stage inferenceen_UK
dc.subjectConditional distibutionsen_UK
dc.subjectPreference heterogeneityen_UK
dc.subjectBootstrap simulationen_UK
dc.titleInference in downstream analysis using individual-level posterior means from mixed logit modelsen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1016/j.jocm.2026.100624en_UK
dc.citation.jtitleJournal of Choice Modellingen_UK
dc.citation.issn1755-5345en_UK
dc.citation.volume60en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderArts and Humanities Research Councilen_UK
dc.author.emaildanny.campbell@stir.ac.uken_UK
dc.citation.date11/08/2026en_UK
dc.contributor.affiliationEconomicsen_UK
dc.contributor.affiliationNorwegian University of Life Sciencesen_UK
dc.contributor.affiliationBerlin School of Economics and Lawen_UK
dc.contributor.affiliationUniversity of Leedsen_UK
dc.identifier.isiWOS:001848426000001en_UK
dc.identifier.scopusid105046810119en_UK
dc.identifier.wtid2285787en_UK
dc.contributor.orcid0000-0001-7467-2318en_UK
dc.contributor.orcid0000-0003-2313-8419en_UK
dc.date.accepted2026-07-27en_UK
dcterms.dateAccepted2026-07-27en_UK
dc.date.filedepositdate2026-08-11en_UK
dc.relation.funderprojectCAVEAT - Triangulation of values using different valuation methodsen_UK
dc.relation.funderrefAH/Y000528/1en_UK
rioxxterms.apcunknownen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorCampbell, Danny|0000-0001-7467-2318en_UK
local.rioxx.authorSandorf, Erlend Dancke|en_UK
local.rioxx.authorBörger, Tobias|en_UK
local.rioxx.authorDekker, Thijs|0000-0003-2313-8419en_UK
local.rioxx.projectAH/Y000528/1|Arts and Humanities Research Council|http://dx.doi.org/10.13039/501100000267en_UK
local.rioxx.freetoreaddate2026-09-14en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2026-09-14|en_UK
local.rioxx.filename1-s2.0-S1755534526000308-main.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source1755-5345en_UK
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