Unconditional quantile regression analysis of UK inbound tourist expenditures

Abhijit Sharma, Richard Woodward, Stefano Grillini

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)


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.

Original languageEnglish
Article number108857
Number of pages4
JournalEconomics Letters
Early online date21 Nov 2019
Publication statusPublished - 1 Jan 2020
Externally publishedYes


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