IDEAS home Printed from https://ideas.repec.org/a/sae/toueco/v29y2023i3p759-787.html
   My bibliography  Save this article

Measuring hidden demand and price behavior from US outbound health tourism spending

Author

Listed:
  • Jorge Ridderstaat

Abstract

The health tourism literature has covered several topics, but studies on the workings of health tourism demand and prices are still under-highlighted. This study investigates US outbound health tourism demand and price developments (real exchange rates) for 50 destinations, using outbound health tourism spending as a reference variable. The study applies the dynamic time warping approach, a sophisticated technique to assess similarities between time series, specifically, the outbound health spending with demand and prices. The results show that demand developments have similarities with US outbound health tourism spending in the short-run, with about 1.2% of all US outbound travelers being health tourists. Price developments have both long- and short-term similarities with outbound health tourism spending. The findings could help policy-makers in better managing the health tourism industry.

Suggested Citation

  • Jorge Ridderstaat, 2023. "Measuring hidden demand and price behavior from US outbound health tourism spending," Tourism Economics, , vol. 29(3), pages 759-787, May.
    • Handle: RePEc:sae:toueco:v:29:y:2023:i:3:p:759-787
    DOI: 10.1177/13548166211067925
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/13548166211067925
    Download Restriction: no
    File URL: https://libkey.io/10.1177/13548166211067925?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Lawrence J. Christiano & Terry J. Fitzgerald, 2003. "The Band Pass Filter," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(2), pages 435-465, May.
    2. Chung-Ping Loh, 2014. "Health tourism on the rise? Evidence from the Balance of Payments Statistics," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(7), pages 759-766, September.
    3. Poulis, Konstantinos & Poulis, Efthimios & Plakoyiannaki, Emmanuella, 2013. "The role of context in case study selection: An international business perspective," International Business Review, Elsevier, vol. 22(1), pages 304-314.
    4. Zhang, Yishuo & Li, Gang & Muskat, Birgit & Law, Rob & Yang, Yating, 2020. "Group pooling for deep tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 82(C).
    5. Haiyan Song & Gang Li & Stephen F. Witt & Baogang Fei, 2010. "Tourism Demand Modelling and Forecasting: How Should Demand Be Measured?," Tourism Economics, , vol. 16(1), pages 63-81, March.
    6. Zahra, Shaker A., 2007. "Contextualizing theory building in entrepreneurship research," Journal of Business Venturing, Elsevier, vol. 22(3), pages 443-452, May.
    7. Giorgino, Toni, 2009. "Computing and Visualizing Dynamic Time Warping Alignments in R: The dtw Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 31(i07).
    8. Elena Pessot & Daniele Spoladore & Andrea Zangiacomi & Marco Sacco, 2021. "Natural Resources in Health Tourism: A Systematic Literature Review," Sustainability, MDPI, vol. 13(5), pages 1-17, March.
    9. Laura Kemppainen & Veera Koskinen & Harley Bergroth & Eetu Marttila & Teemu Kemppainen, 2021. "Health and Wellness–Related Travel: A Scoping Study of the Literature in 2010-2018," SAGE Open, , vol. 11(2), pages 21582440211, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Yishuo & Li, Gang & Muskat, Birgit & Vu, Huy Quan & Law, Rob, 2021. "Predictivity of tourism demand data," Annals of Tourism Research, Elsevier, vol. 89(C).
    2. Khan, Zaheer & Rao-Nicholson, Rekha & Tarba, Shlomo Y., 2018. "Global networks as a mode of balance for exploratory innovations in a late liberalizing economy," Journal of World Business, Elsevier, vol. 53(3), pages 392-402.
    3. Lubos Hanus & Lukas Vacha, 2015. "Business cycle synchronization of the Visegrad Four and the European Union," Working Papers IES 2015/19, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2015.
    4. Drew Creal & Siem Jan Koopman & Eric Zivot, 2008. "The Effect of the Great Moderation on the U.S. Business Cycle in a Time-varying Multivariate Trend-cycle Model," Tinbergen Institute Discussion Papers 08-069/4, Tinbergen Institute.
    5. Lippi, Marco & Reichlin, Lucrezia & Hallin, Marc & Forni, Mario & Altissimo, Filippo & Cristadoro, Riccardo & Veronese, Giovanni & Bassanetti, Antonio, 2001. "EuroCOIN: A Real Time Coincident Indicator of the Euro Area Business Cycle," CEPR Discussion Papers 3108, C.E.P.R. Discussion Papers.
    6. Jan Bruha & Jaromir Tonner, 2018. "Independent Monetary Policy Versus a Common Currency: A Macroeconomic Analysis for the Czech Republic Through the Lens of an Applied DSGE Model," Working Papers 2018/19, Czech National Bank.
    7. Marco Gallegati, 2019. "A system for dating long wave phases in economic development," Journal of Evolutionary Economics, Springer, vol. 29(3), pages 803-822, July.
    8. Wu Juan & Li Yaokuang, 2020. "An Exploratory Cross-Country Analysis of Female Entrepreneurial Activity: The Roles of Gendered Institutions," Entrepreneurship Research Journal, De Gruyter, vol. 10(3), pages 1-20, July.
    9. Jaromir Benes & David Vavra, 2004. "Eigenvalue Decomposition of Time Series with Application to the Czech Business Cycle," Working Papers 2004/08, Czech National Bank.
    10. repec:got:cegedp:84 is not listed on IDEAS
    11. Amato, Umberto & Antoniadis, Anestis & De Feis, Italia & Goude, Yannig & Lagache, Audrey, 2021. "Forecasting high resolution electricity demand data with additive models including smooth and jagged components," International Journal of Forecasting, Elsevier, vol. 37(1), pages 171-185.
    12. Rabanal, Pau & Rubio-Ramírez, Juan F., 2015. "Can international macroeconomic models explain low-frequency movements of real exchange rates?," Journal of International Economics, Elsevier, vol. 96(1), pages 199-211.
    13. Guglielmo Maria Caporale & Woo-Young Kang & Fabio Spagnolo & Nicola Spagnolo, 2022. "The COVID-19 pandemic, policy responses and stock markets in the G20," International Economics, CEPII research center, issue 172, pages 77-90.
    14. Azcona, Nestor, 2022. "Trade and business cycle synchronization: The role of common trade partners," International Economics, Elsevier, vol. 170(C), pages 190-201.
    15. Mastroeni, Loretta & Mazzoccoli, Alessandro & Quaresima, Greta & Vellucci, Pierluigi, 2021. "Decoupling and recoupling in the crude oil price benchmarks: An investigation of similarity patterns," Energy Economics, Elsevier, vol. 94(C).
    16. Kevin Lansing, 2009. "Time Varying U.S. Inflation Dynamics and the New Keynesian Phillips Curve," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(2), pages 304-326, April.
    17. Engelbert Stockhammer & Giorgos Gouzoulis & Rob Calvert Jump, 2019. "Debt-driven business cycles in historical perspective: The cases of the USA (1889-2015) and UK (1882-2010)," Working Papers PKWP1907, Post Keynesian Economics Society (PKES).
    18. Mariarosaria Comunale & Markus Eller & Mathias Lahnsteiner, 2020. "Assessing credit gaps in CESEE based on levels justified by fundamentals – a comparison across different estimation approaches," Bank of Lithuania Working Paper Series 74, Bank of Lithuania.
    19. Verbrugge, Randal & Zaman, Saeed, 2023. "The hard road to a soft landing: Evidence from a (modestly) nonlinear structural model," Energy Economics, Elsevier, vol. 123(C).
    20. Ageliki Anagnostou & Ioannis Panteladis & Maria Tsiapa, 2015. "Disentangling different patterns of business cycle synchronicity in the EU regions," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(3), pages 615-641, August.
    21. Alessandra Iacobucci, 2005. "Spectral Analysis for Economic Time Series," Lecture Notes in Economics and Mathematical Systems, in: Jacek Leskow & Lionello F. Punzo & Martín Puchet Anyul (ed.), New Tools of Economic Dynamics, chapter 12, pages 203-219, Springer.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:toueco:v:29:y:2023:i:3:p:759-787. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.