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Rational inattention or rational overreaction? Consumer reactions to health news

Author

Listed:
  • Martin Browning

    (Dept. of Economics, University of Oxford)

  • Lars Gårn Hansen

    (Department of Food and Resource Economics, University of Copenhagen)

  • Sinne Smed

    (Department of Food and Resource Economics, University of Copenhagen)

Abstract

We investigate differences in how consumers of fish react to media information about long term health effects of eating fish. We specify a dynamic empirical model that allows for heterogeneity in all basic parameters of consumer behavior as well as in how consumers react to information. We estimate the model using a unique household panel tracking consumption, prices, news stories and media habits over 24 quarters. Prior studies find/suggest that the consumers most likely to be rationally ignorant of long term health effects are inattentive to health news. In contrast we find that these consumers react more dramatically to health news than the consumers who most likely are well informed.

Suggested Citation

  • Martin Browning & Lars Gårn Hansen & Sinne Smed, 2013. "Rational inattention or rational overreaction? Consumer reactions to health news," IFRO Working Paper 2013/14, University of Copenhagen, Department of Food and Resource Economics.
  • Handle: RePEc:foi:wpaper:2013_14
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    References listed on IDEAS

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    1. Nayga, Rodolfo M., 1996. "Determinants of Consumers' Use of Nutritional Information on Food Packages," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 28(2), pages 303-312, December.
    2. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    3. Jill J. McCluskey & Johan F.M. Swinnen, 2004. "Political Economy of the Media and Consumer Perceptions of Biotechnology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(5), pages 1230-1237.
    4. Fox, John A & Hayes, Dermot J & Shogren, Jason F, 2002. "Consumer Preferences for Food Irradiation: How Favorable and Unfavorable Descriptions Affect Preferences for Irradiated Pork in Experimental Auctions," Journal of Risk and Uncertainty, Springer, vol. 24(1), pages 75-95, January.
    5. Adhikari, Murali & Paudel, Laxmi & Houston, Jack E. & Paudel, Krishna P. & Bukenya, James O., 2006. "The Impact of Cholesterol Information on Meat Demand: Application of an Updated Cholesterol Index," Journal of Food Distribution Research, Food Distribution Research Society, vol. 37(2), pages 1-10, July.
    6. Gouriéroux, Christian & Phillips, Peter C.B. & Yu, Jun, 2010. "Indirect inference for dynamic panel models," Journal of Econometrics, Elsevier, vol. 157(1), pages 68-77, July.
    7. Mizerski, Richard W, 1982. "An Attribution Explanation of the Disproportionate Influence of Unfavorable Information," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(3), pages 301-310, December.
    8. Lijia Mo, 2013. "Impact of food safety information on US poultry demand," Applied Economics, Taylor & Francis Journals, vol. 45(9), pages 1121-1131, March.
    9. Theodossiou, Panayiotis & McDonald, James B. & Hansen, Christian B., 2007. "Some Flexible Parametric Models for Partially Adaptive Estimators of Econometric Models," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 1, pages 1-20.
    10. Mark E. Smith & Eileen O. van Ravenswaay & Stanley R. Thompson, 1988. "Sales Loss Determination in Food Contamination Incidents: An Application to Milk Bans in Hawaii," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 513-520.
    11. Shimshack, Jay P. & Ward, Michael B. & Beatty, Timothy K.M., 2007. "Mercury advisories: Information, education, and fish consumption," Journal of Environmental Economics and Management, Elsevier, vol. 53(2), pages 158-179, March.
    12. Gary Chamberlain, 1980. "Analysis of Covariance with Qualitative Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 225-238.
    13. Kyrre Rickertsen & Dadi Kristofersson & Solveig Lothe, 2003. "Effects of health information on Nordic meat and fish demand," Empirical Economics, Springer, vol. 28(2), pages 249-273, April.
    14. Roger A. Dahlgran & Dean G. Fairchild, 2002. "The demand impacts of chicken contamination publicity-a case study," Agribusiness, John Wiley & Sons, Ltd., vol. 18(4), pages 459-474.
    15. Brian Coffey & Ted Schroeder & Thomas Marsh, 2011. "Disaggregated household meat demand with censored data," Applied Economics, Taylor & Francis Journals, vol. 43(18), pages 2343-2363.
    16. Hui-Shung Chang & Henry W. Kinnucan, 1991. "Advertising, Information, and Product Quality: The Case of Butter," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(4), pages 1195-1203.
    17. Wim Verbeke, 2005. "Agriculture and the food industry in the information age," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 32(3), pages 347-368, September.
    18. Jutta Roosen & Stéphan Marette & Sandrine Blanchemanche & Philippe Verger, 2009. "Does Health Information Matter for Modifying Consumption? A Field Experiment Measuring the Impact of Risk Information on Fish Consumption," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(1), pages 2-20.
    19. Takashi Ishida & Noriko Ishikawa & Mototsugu Fukushige, 2010. "Impact of BSE and bird flu on consumers' meat demand in Japan," Applied Economics, Taylor & Francis Journals, vol. 42(1), pages 49-56.
    20. Johan F. M. Swinnen & Jill McCluskey & Nathalie Francken, 2005. "Food safety, the media, and the information market," Agricultural Economics, International Association of Agricultural Economists, vol. 32(s1), pages 175-188, January.
    21. Tonsor, Glynn T. & Mintert, James R. & Schroeder, Ted C., 2010. "U.S. Meat Demand: Household Dynamics and Media Information Impacts," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 35(1), pages 1-17.
    22. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    23. Verbeke, Wim & Ward, Ronald W., 2001. "A fresh meat almost ideal demand system incorporating negative TV press and advertising impact," Agricultural Economics, Blackwell, vol. 25(2-3), pages 359-374, September.
    24. Nicholas E. Piggott & Thomas L. Marsh, 2004. "Does Food Safety Information Impact U.S. Meat Demand?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 154-174.
    25. Sinne Smed, 2012. "Information and consumer perception of the “organic” attribute in fresh fruits and vegetables," Agricultural Economics, International Association of Agricultural Economists, vol. 43, pages 33-48, November.
    26. Jay Shimshack, 2004. "Are Mercury Advisories Effective? Inofrmation, Education, and Fish Consumption," Discussion Papers Series, Department of Economics, Tufts University 0423, Department of Economics, Tufts University.
    27. Deborah J. Brown & Lee F. Schrader, 1990. "Cholesterol Information and Shell Egg Consumption," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(3), pages 548-555.
    28. Wim Verbeke & Ronald W. Ward & Jacques Viaene, 2000. "Probit analysis of fresh meat consumption in Belgium: Exploring BSE and television communication impact," Agribusiness, John Wiley & Sons, Ltd., vol. 16(2), pages 215-234.
    29. Tselepidakis, Elina, 2012. "Food Safety And The Demand For Meat Products," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124968, Agricultural and Applied Economics Association.
    30. Jayachandran N. Variyam & James Blaylock & David Smallwood, 1996. "A Probit Latent Variable Model of Nutrition Information and Dietary Fiber Intake," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(3), pages 628-639.
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    More about this item

    Keywords

    health information; consumer behaviour; pervasive heterogeneity;
    All these keywords.

    JEL classification:

    • D1 - Microeconomics - - Household Behavior
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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