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Inferred and Stated Attribute Non-attendance in Food Choice Experiments


  • Riccardo Scarpa
  • Raffaele Zanoli
  • Viola Bruschi
  • Simona Naspetti


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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  • Riccardo Scarpa & Raffaele Zanoli & Viola Bruschi & Simona Naspetti, 2013. "Inferred and Stated Attribute Non-attendance in Food Choice Experiments," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(1), pages 165-180.
  • Handle: RePEc:oup:ajagec:v:95:y:2013:i:1:p:165-180

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    References listed on IDEAS

    1. Llewelyn, Richard V. & Featherstone, Allen M., 1997. "A comparison of crop production functions using simulated data for irrigated corn in western Kansas," Agricultural Systems, Elsevier, vol. 54(4), pages 521-538, August.
    2. Robert G. Chambers & Erik Lichtenberg, 1996. "A Nonparametric Approach to the von Liebig-Paris Technology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 373-386.
    3. Varian, Hal R., 1985. "Non-parametric analysis of optimizing behavior with measurement error," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 445-458.
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