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dc.contributor.authorHensher, David A.
dc.contributor.authorLi, Zheng
dc.date.accessioned2018-11-22
dc.date.available2018-11-22
dc.date.issued2010-09-01
dc.identifier.issnISSN 1832-570X
dc.identifier.urihttp://hdl.handle.net/2123/19242
dc.description.abstractUsing a sample of 245 direct petrol price elasticities of car travel collected from 52 published mode choice studies, a random coefficient regression model is estimated to account for heterogeneity in the influence of the type of data used in the various studies (RP, SP and a combination of RP/SP). The focus on the type of data is designed to highlight a concern that has emerged in the way that an increasing number of researchers and consultants derive elasticities from stand-alone stated preference studies, and apply them. It is well known that this is not valid without model calibration (usually via the mode-specific constants), since the elasticity formula uses the probability of an alternative being chosen. To understand the extent of possible behavioural response bias when calibration is ignored is important, signalling a possible adjustment process to correct for the absence of calibration relative to calibrated RP and or RP/SP derived elasticities.en_AU
dc.relation.ispartofseriesITLS-WP-10-18en_AU
dc.subjectDirect petrol price elasticities, cars, random coefficient regression, data paradigmsen_AU
dc.titleAccounting for differences in modelled estimates of RP, SP and RP/SP direct petrol price elasticities for car mode choice: A warningen_AU
dc.typeWorking Paperen_AU
dc.contributor.departmentITLSen_AU


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