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Accounting for Skill Levels in Recreational Demand Modelling using a Clustered RUM approach

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dc.contributor.author Garvey, Eoghan en
dc.date.accessioned 2010-05-18T15:28:25Z en
dc.date.available 2010-05-18T15:28:25Z en
dc.date.issued 2005 en
dc.identifier.citation Hynes, S., Hanley, N., & Garvey, E. (2005) "Accounting for Skill Levels in Recreational Demand Modelling using a Clustered RUM approach" (Working Paper No. 0092) Department of Economics, National University of Ireland, Galway. en
dc.identifier.uri http://hdl.handle.net/10379/1080 en
dc.description.abstract We adapt the standard random utility model to take account of the heterogeneity of recreational preferences by using what we call a 'clustered conditional logit framework'. By separating out our sample of whitewater kayakers into two exogenously identifiable groups (based on their skill level) and running separate conditional logits for each group we are able to take account of the fact that kayakers of different skill levels are looking for different characteristics from the whitewater site they choose to visit. We find that not taking into account the differences in the skill of the kayakers and the grade of the river will result in an overestimation of the welfare estimates associated with improvements to lower grade whitewater sites (which are frequented by basic/intermediated proficiency level kayakers) and underestimating welfare estimates associated with changes in the attributes of higher grade whitewater sites (which are frequented by advanced proficiency level kayakers). en
dc.format application/pdf en
dc.language.iso en en
dc.publisher National University of Ireland, Galway en
dc.relation.ispartofseries Working Paper;No. 0092 en
dc.subject Whitewater kayaking en
dc.subject Basic en
dc.subject Intermediate and advanced proficiency en
dc.subject Random utility model en
dc.subject Preference heterogeneity en
dc.subject Economics en
dc.title Accounting for Skill Levels in Recreational Demand Modelling using a Clustered RUM approach en
dc.type Working Paper en
dc.description.peer-reviewed peer-reviewed en

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