Tourism statistics: Correcting data inadequacy

Patricio Aroca, Juan Gabriel Brida, Serena Volo

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

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 article is to propose a methodology useful to improve tourism statistics: a modified version of the Coarsened Exact Matching. The methodological steps herein proposed provide 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.

Original languageEnglish
Pages (from-to)99-112
Number of pages14
JournalTourism Economics
Volume23
Issue number1
DOIs
StatePublished - 2017
Externally publishedYes

Keywords

  • Accommodations
  • Accretion bias
  • Attrition bias
  • Chile
  • Sample weights
  • Tourism planning

Fingerprint

Dive into the research topics of 'Tourism statistics: Correcting data inadequacy'. Together they form a unique fingerprint.

Cite this