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?:abstract
  • Many empirical studies in tourism research use primary or secondary survey data. Generally, non-response is not random in the target population, so sampling weights are required to adjust for endogenous sampling. However, it is yet unclear in which situations survey weights should be applied. This paper proposes two simple tests to detect whether weights are truly needed. The relevance of weighting for correct inference and how to perform the tests are illustrated using two case studies that employ large-scale survey microdata on travel habits by European residents from the Flash Eurobarometer. First, we investigate the correlates of travel frequency paying attention to the role of age. Second, we study cross-country heterogeneity in the factors that motivate European citizens to consume peer-to-peer accommodation services. Our findings have important implications for research practice, and the proposed tests can be easily applied in case studies to detect the need for sampling weighs. (xsd:string)
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?:comment
  • (Eurobarometer) (xsd:string)
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  • Eurobarometer-Bibliography (xsd:string)
?:dateModified
  • 2023 (xsd:gyear)
?:datePublished
  • 2023 (xsd:gyear)
?:doi
  • 10.1080/13683500.2023.2178394 ()
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  • 1 (xsd:string)
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  • english (xsd:string)
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  • 13683500 ()
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  • Good results come to those who weight: on the importance of sampling weights in empirical research using survey data (xsd:string)
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  • article (xsd:string)
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  • Bibsonomy (xsd:string)
  • In Current Issues in Tourism, 1-20, 2023 (xsd:string)
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  • EB - Standard and Special Eurobarometer (xsd:string)
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  • 2023 (xsd:string)
  • EB_input2023 (xsd:string)
  • EB_pro (xsd:string)
  • Eurobarometer (xsd:string)
  • FDZ_IUP (xsd:string)
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  • article (xsd:string)
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  • 20 (xsd:string)
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