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Unconditional quantile regression analysis of UK inbound tourist expenditures

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  • Sharma, Abhijit
  • Woodward, Richard
  • Grillini, Stefano

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.

Suggested Citation

  • Sharma, Abhijit & Woodward, Richard & Grillini, Stefano, 2020. "Unconditional quantile regression analysis of UK inbound tourist expenditures," Economics Letters, Elsevier, vol. 186(C).
    • Handle: RePEc:eee:ecolet:v:186:y:2020:i:c:s0165176519304331
    DOI: 10.1016/j.econlet.2019.108857
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    References listed on IDEAS

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    1. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    2. Glick, Reuven & Rose, Andrew K., 2002. "Does a currency union affect trade? The time-series evidence," European Economic Review, Elsevier, vol. 46(6), pages 1125-1151, June.
    3. Hossain, Ishrat & Saqib, Najam U. & Haq, Munshi Masudul, 2018. "Scale heterogeneity in discrete choice experiment: An application of generalized mixed logit model in air travel choice," Economics Letters, Elsevier, vol. 172(C), pages 85-88.
    4. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    5. Morley, Clive & Rosselló, Jaume & Santana-Gallego, Maria, 2014. "Gravity models for tourism demand: theory and use," Annals of Tourism Research, Elsevier, vol. 48(C), pages 1-10.
    6. Christer Thrane, 2014. "Modelling Micro-Level Tourism Expenditure: Recommendations on the Choice of Independent Variables, Functional Form and Estimation Technique," Tourism Economics, , vol. 20(1), pages 51-60, February.
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    Cited by:

    1. Luojia Wang & Kerui Du & Bin Fang & Rob Law, 2023. "Escape from air pollution: How does air quality in the place of residence shape tourism consumption?," Tourism Economics, , vol. 29(4), pages 1074-1099, June.
    2. Azam, Mehtabul, 2022. "Microeconomic Determinants of Domestic Tourism Expenditure in India," IZA Discussion Papers 15245, Institute of Labor Economics (IZA).
    3. Moslem Ansarinasab & Sayed Saghaian, 2023. "Outbound, Inbound and Domestic Tourism in the Post-COVID-19 Era in OECD Countries," Sustainability, MDPI, vol. 15(12), pages 1-19, June.

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    More about this item

    Keywords

    Tourist expenditures; Unconditional quantile regressions; United Kingdom;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • Z30 - Other Special Topics - - Tourism Economics - - - General

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