On the Use of Mixed RP/SP Models in Prediction: Accounting for Systematic and Random Taste Heterogeneity

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dc.contributor.authorCherchi, Elisabetta
dc.contributor.authorde Dios Ortuzar, Juan
dc.date.accessioned2024-01-10T13:51:31Z
dc.date.available2024-01-10T13:51:31Z
dc.date.issued2011
dc.description.abstractA basic assumption in mixed revealed preference (RP)/stated preference (SP) estimation is that both data sets represent basically the same phenomenon. Thus, we would expect individuals to show the same tastes regardless of the tool used to elicit their preferences. However, different and significant parameters are often found in each case. Although this is not an issue from an estimation standpoint, understanding why differences appear is crucial in forecasting because the model structure used in that case differs from the estimated one. This problem is compounded if differences between both data affect their ability to reproduce systematic or random taste variations because (i) microeconomic conditions on individual behaviour are more difficult to fulfil, and (ii) an erroneous specification may have a major impact on the predicted results. Problems associated with using joint RP/SP models in forecasting have received scant attention and no studies have examined the case where both types of data show different systematic or random heterogeneity. We review the problem from a theoretical viewpoint and suggest analyses that could aid decision taking in this context. Using real data, we provide evidence on the effects of using different joint RP/SP models in forecasting and highlight the importance of performing these analyses.
dc.description.funderFONDECYT
dc.description.funderMillennium Institute on Complex Engineering Systems
dc.fechaingreso.objetodigital2024-05-16
dc.format.extent11 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1287/trsc.1100.0334
dc.identifier.issn0041-1655
dc.identifier.urihttps://doi.org/10.1287/trsc.1100.0334
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/79607
dc.identifier.wosidWOS:000287365900007
dc.information.autorucIngeniería;Ortúzar J.de D.;S/I;99241
dc.issue.numero1
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final108
dc.pagina.inicio98
dc.publisherINFORMS
dc.revistaTRANSPORTATION SCIENCE
dc.rightsacceso restringido
dc.subjectmixed RP/SP models
dc.subjectrandom heterogeneity
dc.subjectpolicy forecasts
dc.subjectLOGIT-MODELS
dc.subjectTRAVEL-TIME
dc.subjectIDENTIFICATION
dc.subjectPREFERENCES
dc.subject.ods11 Sustainable Cities and Communities
dc.subject.odspa11 Ciudades y comunidades sostenibles
dc.titleOn the Use of Mixed RP/SP Models in Prediction: Accounting for Systematic and Random Taste Heterogeneity
dc.typeartículo
dc.volumen45
sipa.codpersvinculados99241
sipa.indexWOS
sipa.indexScopus
sipa.trazabilidadCarga SIPA;09-01-2024
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