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A Comparison of Choice Experiments and Actual Grocery Store Behavior: An Empirical Application to Seafood Products

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  • Hudson, Darren
  • Gallardo, R. Karina
  • Hanson, Terrill R.

Abstract

In this paper we compare results from an in-store field experiment and a mail survey choice experiment (CE) to investigate CE's capacity in predicting grocery store market share. For the comparison, we used three seafood products: freshwater prawns, marine shrimp, and lobster. CE estimates were obtained via four econometric models: the conditional logit, the random parameter logit, the heteroskedastic extreme value, and the multinomial probit. We found that the level of control in the grocery store experiment and the choice of econometric model influenced the capacity of CE to predict grocery store market shares.

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  • Hudson, Darren & Gallardo, R. Karina & Hanson, Terrill R., 2012. "A Comparison of Choice Experiments and Actual Grocery Store Behavior: An Empirical Application to Seafood Products," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 44(1), pages 49-62, February.
    • Handle: RePEc:cup:jagaec:v:44:y:2012:i:01:p:49-62_00
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    2. Ewa Zawojska & Mikołaj Czajkowski, 2015. "Re-examining empirical evidence on contingent valuation – Importance of incentive compatibility," Working Papers 2015-08, Faculty of Economic Sciences, University of Warsaw.
    3. Levine, Jordan & Chan, Kai M.A. & Satterfield, Terre, 2015. "From rational actor to efficient complexity manager: Exorcising the ghost of Homo economicus with a unified synthesis of cognition research," Ecological Economics, Elsevier, vol. 114(C), pages 22-32.
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    5. Becchetti, Leonardo & Salustri, Francesco & Scaramozzino, Pasquale, 2020. "Nudging and corporate environmental responsibility: A natural field experiment," Food Policy, Elsevier, vol. 97(C).
    6. Fifer, Simon & Rose, John M., 2016. "Can you ever be certain? Reducing hypothetical bias in stated choice experiments via respondent reported choice certaintyAuthor-Name: Beck, Matthew J," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 149-167.
    7. Shalynn Sumrow & Darren Hudson & Oscar Sarasty & Carlos Carpio & Christy Bratcher, 2024. "Consumer preferences for worker and supply chain risk mitigation in the beef supply chain in response to COVID‐19 pandemic," Agribusiness, John Wiley & Sons, Ltd., vol. 40(1), pages 299-315, January.
    8. Francesca Gerini & Frode Alfnes & Alexander Schjøll, 2016. "Organic- and Animal Welfare-labelled Eggs: Competing for the Same Consumers?," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(2), pages 471-490, June.
    9. Leonardo Becchetti & Francesco Salustri & Pasquale Scaramozzino, 2018. "Nudging and Environmental Corporate Responsibility: A Natural Experiment," CEIS Research Paper 426, Tor Vergata University, CEIS, revised 03 Apr 2018.
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    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness

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