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Beyond GDP: Modelling Labour Supply as a ‘Free Time’ Trade-off in a Multiregional Optimal Growth Model

Author

Listed:
  • Valentina Bosetti

    (FEEM, Fondazione Eni Enrico Mattei, and CMCC Centro Euro-Mediterraneo per i Cambiamenti Climatici)

  • Frédéric Ghersi

    (CIRED – Centre International de Recherche sur l’Environnement et le Développement)

Abstract

In this paper we develop the standard utility function of a Ramsey-type optimal growth model to account for a ‘market-time’ vs. ‘free-time’ trade-off. To do so, we introduce a free-time preference coefficient that measures the utility gained by deviating from a maximum labour supply defined as the combination of a 95% labour force participation rate for the 20 to 69 year-old population, and 3000 annual working hours (50 effective 60-hour weeks). We calibrate this free-time preference coefficient for 12 world regions on statistical and projected data from the United Nations, the International Labour Organisation and the OECD. We illustrate a prospective use of this modelling development by comparing the consequences of convergence of the free-time preference coefficients of all world regions to the contrasted Western European vs. United States value. Over the 21st century, compared to a business-as-usual trajectory defined by maintained regional disparities in free time preference, convergence to US free time preference induces a 0.3% decrease in global discounted labour market time, but a 4.2% increase in discounted global GDP sustained by a 2.5% increase in primary energy consumption that translates into a 1.7% increase in cumulated CO2-equivalent emissions; convergence to Western European free time preference decreases labour market time by 13.8%, GDP by 11.7%, primary energy consumption by 10.7% and cumulated CO2-equivalent emissions by 9.1%.

Suggested Citation

  • Valentina Bosetti & Frédéric Ghersi, 2012. "Beyond GDP: Modelling Labour Supply as a ‘Free Time’ Trade-off in a Multiregional Optimal Growth Model," Working Papers 2012.44, Fondazione Eni Enrico Mattei.
  • Handle: RePEc:fem:femwpa:2012.44
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    References listed on IDEAS

    as
    1. Valentina Bosetti & Carlo Carraro & Marzio Galeotti & Emanuele Massetti & Massimo Tavoni, 2006. "WITCH. A World Induced Technical Change Hybrid Model," Working Papers 2006_46, Department of Economics, University of Venice "Ca' Foscari".
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    JEL classification:

    • C0 - Mathematical and Quantitative Methods - - General
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity

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