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Testing on-site sampling correction in discrete choice experiments

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  • Liu, Tzu-Ming

Abstract

This study uses truncated Poisson regression to correct endogeneity of discrete choice experiments (DCEs) with data from on-site sampling, which has been commonly used to collect samples in the field of tourism research. We find that goodness of fit of model is significantly improved with on-site sampling correction. Estimated parameters with onsite sampling correction also match the predictions of economic theory better. Estimated willingness to pay for attributes are substantially underestimated due to sample selection bias. These results question the use of DCEs without on-site sampling correction for tourism policy making.

Suggested Citation

  • Liu, Tzu-Ming, 2017. "Testing on-site sampling correction in discrete choice experiments," Tourism Management, Elsevier, vol. 60(C), pages 439-441.
    • Handle: RePEc:eee:touman:v:60:y:2017:i:c:p:439-441
    DOI: 10.1016/j.tourman.2017.01.004
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    References listed on IDEAS

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    Cited by:

    1. Tzu-Ming Liu & I-Jean Chen & Ho-Ching Jenny Yuan, 2021. "Using Stated Preference Valuation to Support Sustainable Marine Fishery Management," Sustainability, MDPI, vol. 13(9), pages 1-12, April.
    2. Tzu-Ming Liu & Chia-Mei Tien, 2019. "Assessing Tourists’ Preferences of Negative Externalities of Environmental Management Programs: A Case Study on Invasive Species in Shei-Pa National Park, Taiwan," Sustainability, MDPI, vol. 11(10), pages 1-11, May.
    3. Kemperman, Astrid, 2021. "A review of research into discrete choice experiments in tourism: Launching the Annals of Tourism Research Curated Collection on Discrete Choice Experiments in Tourism," Annals of Tourism Research, Elsevier, vol. 87(C).

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