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Applying Weights to Correct Distortions in a Non-Random Sample: An Application to Chilean Tourism Time Series Data

Author

Listed:
  • Patricio Aroca

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

  • Juan Gabriel Brida

    (Competence Centre in Tourism Management and Tourism Economics (TOMTE), School of Economics and Management, Free University of Bozen-Bolzano, Piazza dell'Università 1, I-39100 Bolzano, Italy)

  • Serena Volo

    (Competence Centre in Tourism Management and Tourism Economics (TOMTE), School of Economics and Management, Free University of Bozen-Bolzano, Piazzetta dell'Università 1, I-39031 Bolzano, Italy)

Abstract

Statistics that accurately represent the evolution of tourism activity are needed for tourism research and planning. Monthly accommodation statistics provided by the Chilean Statistical Institute show a negative trend despite considerable growth in the number of foreign visitors. This paper proposes a methodology to create sample weights to overcome statistics inaccuracy caused, as in the case of Chilean tourism statistics, by the use of a non-random sample with serious attrition bias. The benefits of the methodology are discussed, highlighting their relevance to a broader range of applications where tourism statistics are questionable or demonstrably inaccurate.

Suggested Citation

  • 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.
    • Handle: RePEc:sae:toueco:v:19:y:2013:i:2:p:453-472
    DOI: 10.5367/te.2013.0206
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    References listed on IDEAS

    as
    1. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521535380.
    2. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521828284.
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    Cited by:

    1. 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.
    2. Ángel Acevedo-Duque & Tohtli Prado-Sabido & Tatiana Gomes Ramires & Luiz Vicente Ovalles-Toledo & Lidyeth Azucena Sandoval Barraza & Rina Álvarez-Becerra & Gonzalo R. Llanos-Herrera, 2022. "New Year’s Eve Show: An Opportunity to Further Develop Sustainable Local Tourism in Chile," Sustainability, MDPI, vol. 14(7), pages 1-23, March.
    3. Patricio Aroca & Juan Gabriel Brida & Serena Volo, 2017. "Tourism statistics," Tourism Economics, , vol. 23(1), pages 99-112, February.
    4. José F Baños-Pino & David Boto-García & Eduardo Del Valle & Inés Sustacha, 2023. "The impact of COVID-19 on tourists’ length of stay and daily expenditures," Tourism Economics, , vol. 29(2), pages 437-459, March.

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