Inferred and Stated Attribute Non‐Attendance in Food Choice Experiments

R. Zanoli, V. Bruschi, S. Naspetti
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引用次数: 239

Abstract

We review the current literature on attribute non-attendance in stated choice and use data from beef and chicken choice experiments using both inference and the respondents' own statements. Inference is based on panel data analysis by mixed logit models of choice with both discrete and continuous mixtures of coefficients, and is conditional on the observed pattern of choice. Information from respondent statements on non-attendance is directly embedded in the specification of the indirect utility function. Results show no clear winner between the inferential approaches, but the inference based on constrained latent class panel models better matches the observed data. Copyright 2013, Oxford University Press.
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食物选择实验中的推断和陈述属性不出席
我们回顾了目前关于陈述选择中属性不出席的文献,并使用牛肉和鸡肉选择实验的数据,使用推理和受访者自己的陈述。推理是基于面板数据分析的混合logit模型的选择与离散和连续的混合系数,并以观察到的选择模式为条件。来自被调查者关于不出席的陈述的信息直接嵌入到间接效用函数的说明中。结果表明,两种推断方法之间没有明显的赢家,但基于约束潜在类面板模型的推断更符合观测数据。牛津大学出版社版权所有
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