Inferred and Stated Attribute Non-attendance in Food Choice Experiments

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 continuo...

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Bibliographic Details
Published in:American journal of agricultural economics 2013-01, Vol.95 (1), p.165-180
Main Authors: Scarpa, Riccardo, Zanoli, Raffaele, Bruschi, Viola, Naspetti, Simona
Format: Article
Language:English
Subjects:
Agricultural economics
Animal welfare
attribute non-attendance
Beef
Causal inference
choice modeling
Coefficients
Data analysis
Datasets
Decision models
Fats
food choice experiments
Food products
Inference
Meats
Observed choices
organic beef and poultry
Organic foods
Panel data
Parametric models
Poultry
Product choice
Statistical estimation
Studies
Utility functions
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Summary: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.
ISSN:0002-9092
1467-8276
DOI:10.1093/ajae/aas073