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Correcting for Selectivity Bias in the Estimation of Tourist Spending Surveys

Author

Listed:
  • Sheng-Ping Yang

    (Department of Economics and Management, Gustavus Adolphus College, 800 West College Avenue, Saint Peter, MN 56082, USA)

  • Annette Ryerson

    (Carroll College, 1601 North Benton Avenue, Helena, MT 59625, USA)

Abstract

Focusing on a small tourist destination, this study investigates how the conventional design and administration of surveys of tourism expenditure can result in selectivity bias. The bias arises from the assumption that day and overnight visitors possess identical spending patterns, and thus can be surveyed with the same instrument. To remove such a bias, the authors apply a two-stage procedure to distinguish the expenditure decisions made by day visitors from those made by overnight visitors. The results suggest that conventional surveys potentially underestimate expenditures by day visitors and overestimate expenditures by overnight visitors.

Suggested Citation

  • Sheng-Ping Yang & Annette Ryerson, 2011. "Correcting for Selectivity Bias in the Estimation of Tourist Spending Surveys," Tourism Economics, , vol. 17(6), pages 1165-1179, December.
    • Handle: RePEc:sae:toueco:v:17:y:2011:i:6:p:1165-1179
    DOI: 10.5367/te.2011.0088
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    References listed on IDEAS

    as
    1. Alexandros Apostolakis & Shabbar Jaffry, 2006. "Correcting for Sample Selection Bias in Stated Preference Tourist Surveys," Tourism Economics, , vol. 12(3), pages 451-468, September.
    2. John Loomis & Lynne Caughlan, 2006. "The Importance of Adjusting for Trip Purpose in Regional Economic Analyses of Tourist Destinations," Tourism Economics, , vol. 12(1), pages 33-43, March.
    Full references (including those not matched with items on IDEAS)

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