Applying weights to correct distortions in a non-random sample: an application to Chilean tourism time series data

• Autores: Patricio Aroca, Juan Gabriel Brida, Serena Volo
• Localización: Tourism economics: the business and finance of tourism and recreation, ISSN 1354-8166, Vol. 19, Nº. 2, 2013, págs. 453-472
• Idioma: inglés
• DOI: 10.5367/te.2013.0206
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• Resumen

  • 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.