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Tourism statistics: correcting data inadequacy using coarsened exact matching

Author

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  • Patricio Aroca

    (Business School, Universidad Adolfo Ibáñez, Viña del Mar, Chile.)

  • Juan Gabriel Brida

    (School of Economics and Management - Free University of Bolzano, Italy.)

  • Juan Sebastián Pereyra

    (School of Economics and Management - Free University of Bolzano, Italy.)

  • Serena Volo

    (School of Economics and Management - Free University of Bolzano, Italy.)

Abstract

Tourism statistics are key sources of information for economic planners, tourism researchers and operators. Still, several cases of data inadequacy and inaccuracy are reported in literature. The aim of this paper is to describe Coarsened Exact Matching, a methodology useful to improve tourism statistics. This method provides tourism statisticians and authorities with a tool to improve the reliability of available sample surveys. Data from a Chilean region are used to illustrate the method. This study contributes to the realm of tourism statistics literature in that it offers a new methodological approach to the creation of accurate and adequate tourism data.

Suggested Citation

  • Patricio Aroca & Juan Gabriel Brida & Juan Sebastián Pereyra & Serena Volo, 2014. "Tourism statistics: correcting data inadequacy using coarsened exact matching," BEMPS - Bozen Economics & Management Paper Series BEMPS22, Faculty of Economics and Management at the Free University of Bozen.
    • Handle: RePEc:bzn:wpaper:bemps22
    as

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    File URL: https://journals.sagepub.com/doi/full/10.5367/te.2015.0500
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    References listed on IDEAS

    as
    1. Iacus, Stefano M. & King, Gary & Porro, Giuseppe, 2011. "Multivariate Matching Methods That Are Monotonic Imbalance Bounding," Journal of the American Statistical Association, American Statistical Association, vol. 106(493), pages 345-361.
    2. Parroco, Anna Maria & Vaccina, Franco & De Cantis, Stefano & Ferrante, Mauro, 2012. "Multi-destination trips and tourism statistics: Empirical evidences in Sicily," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-27.
    3. Abadie, Alberto & Imbens, Guido W., 2011. "Bias-Corrected Matching Estimators for Average Treatment Effects," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 1-11.
    4. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521535380, September.
    5. Matthew Blackwell & Stefano Iacus & Gary King & Giuseppe Porro, 2009. "cem: Coarsened exact matching in Stata," Stata Journal, StataCorp LLC, vol. 9(4), pages 524-546, December.
    6. Iacus, Stefano & King, Gary & Porro, Giuseppe, 2009. "cem: Software for Coarsened Exact Matching," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 30(i09).
    7. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521828284, September.
    8. Patricio Aroca & Juan Gabriel Brida & Serena Volo, 2013. "Applying Weights to Correct Distortions in a Non-Random Sample: An Application to Chilean Tourism Time Series Data," Tourism Economics, , vol. 19(2), pages 453-472, April.
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