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Heads or Tails: The Impact of a Coin Toss on Major Life Decisions and Subsequent Happiness

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  • Steven D. Levitt

Abstract

Little is known about whether people make good choices when facing important decisions. This paper reports on a large-scale randomized field experiment in which research subjects having difficulty making a decision flipped a coin to help determine their choice. For important decisions (e.g. quitting a job or ending a relationship), those who make a change (regardless of the outcome of the coin toss) report being substantially happier two months and six months later. This correlation, however, need not reflect a causal impact. To assess causality, I use the outcome of a coin toss. Individuals who are told by the coin toss to make a change are much more likely to make a change and are happier six months later than those who were told by the coin to maintain the status quo. The results of this paper suggest that people may be excessively cautious when facing life-changing choices.

Suggested Citation

  • Steven D. Levitt, 2016. "Heads or Tails: The Impact of a Coin Toss on Major Life Decisions and Subsequent Happiness," NBER Working Papers 22487, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:22487
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    References listed on IDEAS

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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Heads or Tails: The Impact of a Coin Toss on Major Life Decisions and Subsequent Happiness
      by maximorossi in NEP-LTV blog on 2016-09-06 01:23:46

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    Cited by:

    1. Victor Haghani & Richard Dewey, 2017. "Rational Decision-Making Under Uncertainty: Observed Betting Patterns on a Biased Coin," Papers 1701.01427, arXiv.org.
    2. Silvia Angerer & E. Glenn Dutcher & Daniela Glätzle-Rützler & Philipp Lergetporer & Matthias Sutter, 2021. "The Formation of Risk Preferences through Small-Scale Events," CESifo Working Paper Series 9270, CESifo.
    3. Mussida Chiara & Zanin Luca, 2019. "Voluntary Mobility of Employees for Better Job Opportunities Given a Temporary Contract: Insights Regarding an Age-Varying Association Between the Two Events," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 19(2), pages 1-27, April.
    4. Gabriel Leite Mota, 2022. "Unsatisfying ordinalism: The breach through which happiness (re)entered economics," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(3), pages 513-528, June.
    5. Henry S. Farber, 2016. "Employment, Hours and Earnings Consequences of Job Loss: U.S. Evidence from the Displaced Workers Survey," Working Papers 589a, Princeton University, Department of Economics, Industrial Relations Section..
    6. Qiyan Ong & Jianying Qiu, 2023. "Paying for randomization and indecisiveness," Journal of Risk and Uncertainty, Springer, vol. 67(1), pages 45-72, August.
    7. Javier A. Birchenall, 2024. "Random choice and market demand," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 57(1), pages 165-198, February.
    8. Leigh, Andrew, 2024. "Ten Lessons for Economic Policymakers," IZA Policy Papers 208, Institute of Labor Economics (IZA).
    9. Chew, Soo Hong & Miao, Bin & Shen, Qiang & Zhong, Songfa, 2022. "Multiple-switching behavior in choice-list elicitation of risk preference," Journal of Economic Theory, Elsevier, vol. 204(C).
    10. Mariela E Jaffé & Leonie Reutner & Rainer Greifeneder, 2019. "Catalyzing decisions: How a coin flip strengthens affective reactions," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-14, August.
    11. Chiara Mussida & Luca Zanin, 2020. "I found a better job opportunity! Voluntary job mobility of employees and temporary contracts before and after the great recession in France, Italy and Spain," Empirical Economics, Springer, vol. 59(1), pages 47-98, July.

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    More about this item

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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