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The effect of social norms on parents’ beliefs and food choices Evidence from a Lab-in-the-Field Experiment

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  • Moustapha Sarr
  • Noémi Berlin
  • Tarek Jaber-Lopez

Abstract

In a lab-in-the-field experiment, we investigate the influence of social norms on 300 parents’ beliefs regarding the nutritional quality of food items and their subsequent food choices. We use a 3 × 2 between-subject experimental design where we vary two factors: 1-the social norm provided to parents: a descriptive norm (what other parents choose) vs. an injunctive norm (what other parents approve of), and 2-the recipient of the food decisions made by parents: their own child vs. an unknown child. Parents participate in a two-stage process. In the first stage, we elicit their beliefs regarding the nutritional quality of various food items and ask them to make a food basket without specific information. In the second stage, based on their assigned treatment, they receive specific information and repeat the belief elicitation and the food basket selection tasks. We find that only the descriptive norm significantly reduces parents’ overestimation rate of items’ nutritional quality. Injunctive norm significantly improves the nutritional quality of both, the parent’s and child’s baskets. Descriptive norm significantly improves the nutritional quality of child’s baskets only when parents are choosing for unknown child.

Suggested Citation

  • Moustapha Sarr & Noémi Berlin & Tarek Jaber-Lopez, 2025. "The effect of social norms on parents’ beliefs and food choices Evidence from a Lab-in-the-Field Experiment," EconomiX Working Papers 2025-42, University of Paris Nanterre, EconomiX.
    • Handle: RePEc:drm:wpaper:2025-42
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    References listed on IDEAS

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    1. Michèle Belot & Noémi Berlin & Jonathan James & Valeria Skafida, 2024. "Changing Dietary Habits Early in Life: A Field Experiment with Low-Income Families," Journal of Political Economy Microeconomics, University of Chicago Press, vol. 2(4), pages 707-746.
    2. Schlag, Karl H. & van der Weele, Joël J., 2015. "A method to elicit beliefs as most likely intervals," Judgment and Decision Making, Cambridge University Press, vol. 10(5), pages 456-468, September.
    3. V. Hotz & Juan Pantano, 2015. "Strategic parenting, birth order, and school performance," Journal of Population Economics, Springer;European Society for Population Economics, vol. 28(4), pages 911-936, October.
    4. Margherita d’Errico & Milena Pavlova & Federico Spandonaro, 2022. "The economic burden of obesity in Italy: a cost-of-illness study," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(2), pages 177-192, March.
    5. Deaton, Angus & Cartwright, Nancy, 2018. "Understanding and misunderstanding randomized controlled trials," Social Science & Medicine, Elsevier, vol. 210(C), pages 2-21.
    6. Jacopo Bonan & Cristina Cattaneo & Giovanna d’Adda & Massimo Tavoni, 2020. "The interaction of descriptive and injunctive social norms in promoting energy conservation," Nature Energy, Nature, vol. 5(11), pages 900-909, November.
    7. Schlag, Karl H. & van der Weele, Joël J., 2015. "A method to elicit beliefs as most likely intervals," Judgment and Decision Making, Cambridge University Press, vol. 10(5), pages 456-468, September.
    8. Diogo Gonçalves & Pedro Coelho & Luis F. Martinez & Paulo Monteiro, 2021. "Nudging Consumers toward Healthier Food Choices: A Field Study on the Effect of Social Norms," Sustainability, MDPI, vol. 13(4), pages 1-14, February.
    9. Kathryn N. Vasilaky & J. Michelle Brock, 2020. "Power(ful) guidelines for experimental economists," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 6(2), pages 189-212, December.
    10. Marette, Stéphan & Issanchou, Sylvie & Monnery-Patris, Sandrine & Ginon, Emilie & Sutan, Angela, 2016. "Are children more paternalistic than their mothers when choosing snacks?," Journal of Economic Psychology, Elsevier, vol. 55(C), pages 61-76.
    11. Hogreve, Jens & Matta, Shashi & Hettich, Alexander S. & Reczek, Rebecca Walker, 2021. "How Do Social Norms Influence Parents’ Food Choices for Their Children? The Role of Social Comparison and Implicit Self-Theories," Journal of Retailing, Elsevier, vol. 97(2), pages 173-190.
    12. Papoutsi, Georgia S. & Nayga, Rodolfo M. & Lazaridis, Panagiotis & Drichoutis, Andreas C., 2015. "Fat tax, subsidy or both? The role of information and children's pester power in food choice," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 196-208.
    13. Burchardi, Henrike & Schroeder, Carsten & Thiele, Holger D., 2005. "Willingness-To-Pay for Food of the Own Region: Empirical Estimates from Hypothetical and Incentive Compatible Settings," 2005 Annual meeting, July 24-27, Providence, RI 19365, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Diana C. Mutz & Robin Pemantle & Philip Pham, 2019. "The Perils of Balance Testing in Experimental Design: Messy Analyses of Clean Data," The American Statistician, Taylor & Francis Journals, vol. 73(1), pages 32-42, January.
    15. Natalia Candelo & Catherine Eckel & Cathleen Johnson, 2018. "Social Distance Matters in Dictator Games: Evidence from 11 Mexican Villages," Games, MDPI, vol. 9(4), pages 1-13, October.
    16. Young-Joo Kim, 2020. "Born to be more educated? Birth order and schooling," Review of Economics of the Household, Springer, vol. 18(1), pages 165-180, March.
    17. John List & Craig Gallet, 2001. "What Experimental Protocol Influence Disparities Between Actual and Hypothetical Stated Values?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 20(3), pages 241-254, November.
    18. Paolo Crosetto & Anne Lacroix & Laurent Muller & Bernard Ruffieux, 2020. "Nutritional and economic impact of five alternative front-of-pack nutritional labels: experimental evidence [Prospective association between a dietary quality index based on a nutrient profiling sy," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(2), pages 785-818.
    19. repec:cup:judgdm:v:10:y:2015:i:5:p:456-468 is not listed on IDEAS
    20. John Loomis, 2011. "What'S To Know About Hypothetical Bias In Stated Preference Valuation Studies?," Journal of Economic Surveys, Wiley Blackwell, vol. 25(2), pages 363-370, April.
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    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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