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dc.contributor.authorSharma, Abhijit
dc.contributor.authorWoodward, R.
dc.contributor.authorGrillini, Stefano
dc.date.accessioned2019-12-09T11:24:34Z
dc.date.accessioned2019-12-12T12:07:07Z
dc.date.available2019-12-09T11:24:34Z
dc.date.available2019-12-12T12:07:07Z
dc.date.issued2020-01
dc.identifier.citationSharma A, Woodward R and Grillini S (2020) Unconditional quantile regression analysis of UK inbound tourist expenditures. Economics Letters. 186: 108857.en_US
dc.identifier.urihttp://hdl.handle.net/10454/17530
dc.descriptionYesen_US
dc.description.abstractUsing International Passenger Survey (2017) data, this paper employs unconditional quantile regression (UQR) to analyse the determinants of tourist expenditure amongst inbound tourists to the United Kingdom. UQR allows us to estimate heterogeneous effects at any quantile of the distribution of the dependent variable. It overcomes the econometric limitations of ordinary least squares and quantile regression based estimates typically used to investigate tourism expenditures. However, our results reveal that the effects of our explanatory variables change across the distribution of tourist expenditure. This has important implications for those tasked with devising policies to enhance the UK’s tourist flows and expenditures.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://doi.org/10.1016/j.econlet.2019.108857en_US
dc.rights© 2019 Elsevier B.V. All rights reserved. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.en_US
dc.subjectTourist expendituresen_US
dc.subjectUnconditional quantile regressionsen_US
dc.subjectUnited Kingdomen_US
dc.titleUnconditional quantile regression analysis of UK inbound tourist expendituresen_US
dc.status.refereedYesen_US
dc.date.Accepted2019-11-15
dc.date.application2019-11-21
dc.typeArticleen_US
dc.type.versionAccepted manuscripten_US
dc.date.updated2019-12-09T11:24:47Z
refterms.dateFOA2019-12-12T12:07:37Z


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