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Happiness, Behavioral Economics, and Public Policy

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Abstract

The economics of "happiness" shares a feature with behavioral economics that raises questions about its usefulness in public policy analysis. What happiness economists call "habituation" refers to the fact that people's reported well-being reverts to a base level, even after major life events such as a disabling injury or winning the lottery. What behavioral economists call "projection bias" refers to the fact that people systematically mistake current circumstances for permanence, buying too much food if shopping while hungry for example. Habituation means happiness does not react to long-term changes, and projection bias means happiness over-reacts to temporary changes. I demonstrate this outcome by combining responses to happiness questions with information about air quality and weather on the day and in the place where those questions were asked. The current day's air quality affects happiness while the local annual average does not. Interpreted literally, either the value of air quality is not measurable using the happiness approach or air quality has no value. Interpreted more generously, projection bias saves happiness economics from habituation, enabling its use in public policy.

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  • Arik Levinson, 2018. "Happiness, Behavioral Economics, and Public Policy," Working Papers gueconwpa~18-18-17, Georgetown University, Department of Economics.
  • Handle: RePEc:geo:guwopa:gueconwpa~18-18-17
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    1. Thomas Aronsson & Ronnie Schöb, 2022. "Habit formation and the pareto-efficient provision of public goods," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 59(3), pages 669-681, October.
    2. Aronsson, Thomas & Schöb, Ronnie, 2018. "Climate change and psychological adaptation: A behavioral environmental economics approach," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 74(C), pages 79-84.
    3. Maya Abou-Zeid & Satoshi Fujii, 2016. "Travel satisfaction effects of changes in public transport usage," Transportation, Springer, vol. 43(2), pages 301-314, March.
    4. Alem, Yonas & Colmer, Jonathan, 2013. "Optimal Expectations and the Welfare Cost of Climate Variability," Working Papers in Economics 578, University of Gothenburg, Department of Economics.
    5. Luigi Curini & Stefano Iacus & Luciano Canova, 2015. "Measuring Idiosyncratic Happiness Through the Analysis of Twitter: An Application to the Italian Case," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 121(2), pages 525-542, April.
    6. Ferdi Botha & Edwin Wouters & Frikkie Booysen, 2018. "Happiness, Socioeconomic Status, and Family Functioning in South African Households: a Structural Equation Modelling Approach," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 13(4), pages 947-989, December.
    7. Norbert Hirschauer & Mira Lehberger & Oliver Musshoff, 2015. "Happiness and Utility in Economic Thought—Or: What Can We Learn from Happiness Research for Public Policy Analysis and Public Policy Making?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 121(3), pages 647-674, April.
    8. Annie Tubadji, 2021. "Culture and mental health resilience in times of COVID-19," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(4), pages 1219-1259, October.

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    More about this item

    Keywords

    stated well-being; habituation; pollution; environmental economics;
    All these keywords.

    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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