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

Patricio Aroca, Juan Brida and Serena Volo
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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

Tourism Economics, 2013, vol. 19, issue 2, 453-472

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.

Keywords: tourism statistics; sample weights; attrition bias; non-random samples (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:toueco:v:19:y:2013:i:2:p:453-472

DOI: 10.5367/te.2013.0206

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