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E pluribus, quaedam. Gross Domestic Product out of a Dashboard of Indicators

Author

Listed:
  • Mattia Guerini

    (University of Brescia
    Fondazione ENI Enrico Mattei
    Université Côte d’Azur, CNRS, GREDEG
    Institute of Economics, Sant’Anna School of Advanced Studies)

  • Fabio Vanni

    (Université Côte d’Azur, CNRS, GREDEG
    Institute of Economics, Sant’Anna School of Advanced Studies
    Università degli Studi dell’Insubria)

  • Mauro Napoletano

    (Université Côte d’Azur, CNRS, GREDEG
    Institute of Economics, Sant’Anna School of Advanced Studies
    SciencesPo, OFCE)

Abstract

Is aggregate income enough to summarize well-being? We address this long-standing question by exploiting a quantitative approach that studies the relationship between gross domestic product (GDP) and a set of economic, social and environmental indicators for nine developed economies. We introduce a mathematical approach to the analysis of economic indicators. By employing dimensionality reduction and time series reconstruction techniques, we quantify the share of variability stemming from a large set of different indicators that can be compressed into a univariate index. We also evaluate how well this variability can be explained if the univariate index is assumed to be respectively the gross domestic product, national income, household income, or household spending. Our results indicate that all the four univariate measures are doomed to fail in accounting for the variability of all the domains. Even if GDP emerges as the best option among the four economic variables, its quality in synthesizing the variability of indicators belonging to other domains is poor (about 35%). Our approach provides additional support for policy makers interested in measuring the trade offs between income and other relevant social, health and ecological dimensions. Finally, our work adds new quantitative evidence to the vast literature criticizing the usage of GDP as a measure of well-being.

Suggested Citation

  • Mattia Guerini & Fabio Vanni & Mauro Napoletano, 2025. "E pluribus, quaedam. Gross Domestic Product out of a Dashboard of Indicators," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 11(1), pages 1-16, March.
  • Handle: RePEc:spr:italej:v:11:y:2025:i:1:d:10.1007_s40797-024-00271-9
    DOI: 10.1007/s40797-024-00271-9
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    Keywords

    Gross domestic product; Well-being indicators; Data reduction techniques; Principal component analysis; Random matrix;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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