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On the Problem of Measuring Happiness

Author

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  • Sabine Hossenfelder

    (NORDITA)

Abstract

The question of how to measure and aggregate happiness is more than a century old. In recent years, its relevance has risen due to efforts to replace the GDP with an index more indicative of well-being, though such efforts are fraught with serious conceptual problems. After briefly recalling these problems, we suggest to address them by using, instead of the common ordinal utility, an alternative quantity that is maximized in economic transactions. This quantity counts the number of future possibilities a commodity opens. The big advantage of this approach is that, in principle, the number of possibilities is an objective measure which allows for intra- and interpersonal comparison. We lay out the framework of the model and then discuss its relevance for social welfare. While we do here not explicitly compute a measure supplementing the GDP, we sketch how this could be done in practice.

Suggested Citation

  • Sabine Hossenfelder, 2013. "On the Problem of Measuring Happiness," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 11(3), pages 289-301.
  • Handle: RePEc:zna:indecs:v:11:y:2013:i:3:p:289-301
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    References listed on IDEAS

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    1. van Praag, Bernard M. S., 1991. "Ordinal and cardinal utility : An integration of the two dimensions of the welfare concept," Journal of Econometrics, Elsevier, vol. 50(1-2), pages 69-89, October.
    2. Ng, Yew-Kwang, 1997. "A Case for Happiness, Cardinalism, and Interpersonal Comparability," Economic Journal, Royal Economic Society, vol. 107(445), pages 1848-1858, November.
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    More about this item

    Keywords

    welfare function; alternatives to GDP;

    JEL classification:

    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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