Author ORCID Identifier
Document Type
Article
Disciplines
Economics, Econometrics
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.
DOI
https://doi.org/10.1016/j.econlet.2019.108857
Recommended Citation
Abhijit Sharma, Richard Woodward, Stefano Grillini, Unconditional quantile regression analysis of UK inbound tourist expenditures, Economics Letters, Volume 186, 2020, 108857, ISSN 0165-1765, DOI: 10.1016/j.econlet.2019.108857
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Publication Details
Economics Letters, vol. 186, Article 108857.
https://www.sciencedirect.com/science/article/pii/S0165176519304331?via%3Dihub
https://doi.org/10.1016/j.econlet.2019.108857