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Unconditional quantile regression analysis of UK inbound tourist expenditures
Sharma, Abhijit Woodward, R. Grillini, Stefano
Sharma, Abhijit
Woodward, R.
Grillini, Stefano
Publication Date
2020-01
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© 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.
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openAccess
Accepted for publication
15/11/2019
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Abstract
Using 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.
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Accepted manuscript
Citation
Sharma A, Woodward R and Grillini S (2020) Unconditional quantile regression analysis of UK inbound tourist expenditures. Economics Letters. 186: 108857.
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Article