|کد مقاله||کد نشریه||سال انتشار||مقاله انگلیسی||ترجمه فارسی||نسخه تمام متن|
|5108687||1377664||2017||3 صفحه PDF||سفارش دهید||دانلود کنید|
- We use truncated Poisson regression to correct endogeneity of DCEs.
- Goodness of fit of model is significantly improved with on-site sampling correction.
- Our framework is a viable option for reducing endogeneity bias from on-site sampling.
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.
Journal: Tourism Management - Volume 60, June 2017, Pages 439-441