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Policy making with behavioral insight

Author

Listed:
  • Shabnam Mousavi

    (Johns Hopkins Carey Business School, USA
    Center for Adaptive Behavior and Cognition, Max Planck Institute for Human Development, Germany)

  • Reza Kheirandish

    (Center for Adaptive Behavior and Cognition, Max Planck Institute for Human Development, Germany
    College of Business, Clayton State University, USA)

Abstract

Design of governmental interventions in the recent years has been increasingly influenced by insights gained from behavioral sciences. We provide an overview of the recent report on such policy interventions designed by the Social and Behavioral Sciences Team (SBST) of the White House and executed in collaboration with other government agencies in 2016 in eight target policy areas. Among these, we focus on SBST's project on increasing efficiency in governmental organizations. We first discuss the notions that SBST has drawn on for generating its executed interventions: successful managerial traits and growth mindset. Then, we introduce the concept of error cultures that has not been used in this project. We argue that adopting a positive error culture adds value to organizations and increases efficiency by reducing defensive decision-making.

Suggested Citation

  • Shabnam Mousavi & Reza Kheirandish, 2017. "Policy making with behavioral insight," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 1(1), pages 41-46, February.
    • Handle: RePEc:beh:jbepv1:v:1:y:2017:i:1:p:41-46
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    Citations

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    Cited by:

    1. Christian T. Elbaek & Ifeatu Uzodinma & Zilia Ismagilova & Panagiotis Mitkidis, 2022. "Suppetia ex machina: How can AI technologies aid financial decision-making of people with low socioeconomic status?," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 6(S1), pages 49-57, July.
    2. Diogo Ribeiro & Mara Madaleno & Anabela Botelho, 2022. "Determinants of voter turnout," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 6(S1), pages 73-84, July.
    3. Frans Folkvord & Cristiano Codagnone & Francesco Bogliacino & Giuseppe Veltri & Francisco Lupiañez-Villanueva & Andriy Ivchenko & George Gaskell, 2019. "Experimental evidence on measures to protect consumers of online gambling services," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 3(1), pages 20-29, March.

    More about this item

    Keywords

    policy; behavioral insight; error culture; defensive decision-making;
    All these keywords.

    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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