Unconditional quantile regression analysis of UK inbound tourist expenditures

Abhijit Sharma (), Richard Woodward and Stefano Grillini

Economics Letters, 2020, vol. 186, issue C

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.

Keywords: Tourist expenditures; Unconditional quantile regressions; United Kingdom (search for similar items in EconPapers)
JEL-codes: C52 C83 Z30 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:186:y:2020:i:c:s0165176519304331

DOI: 10.1016/j.econlet.2019.108857

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