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

Patricio Aroca, Juan Gabriel Brida, Serena Volo

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

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.

Original languageEnglish
Pages (from-to)453-472
Number of pages20
JournalTourism Economics
Volume19
Issue number2
DOIs
StatePublished - Apr 2013
Externally publishedYes

Keywords

  • Attrition bias
  • Nonrandom samples
  • Sample weights
  • Tourism statistics

Fingerprint

Dive into the research topics of 'Applying weights to correct distortions in a non-random sample: An application to Chilean tourism time series data'. Together they form a unique fingerprint.

Cite this