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Hybrid modeling: New answers to old challenges - Introduction to the special issue of The Energy Journal

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  • Jc Hourcade

    (CIRED - centre international de recherche sur l'environnement et le développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique)

  • M. Jaccard

    (SFU.ca - Simon Fraser University = Université Simon Fraser)

  • C. Bataille

    (SFU.ca - Simon Fraser University = Université Simon Fraser)

  • F Ghersi

Abstract

After nearly two decades of debate and fundamental disagreement, top-down and bottom-up energy-economy modelers, sometimes referred to as modeling ÔtribesÕ, began to engage in productive dialogue in the mid-1990s (IPCC 2001). From this methodological conversation have emerged modeling approaches that offer a hybrid of the two perspectives. Yet, while individual publications over the past decade have described efforts at hybrid modeling, there has not as yet been a systematic assessment of their prospects and challenges. To this end, several research teams that explore hybrid modeling held a workshop in Paris on April 20Ð21, 2005 to share and compare the strategies and techniques that each has applied to the development of hybrid modeling. This special issue provides the results of the workshop and of follow-up efforts between different researchers to exchange ideas.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Jc Hourcade & M. Jaccard & C. Bataille & F Ghersi, 2006. "Hybrid modeling: New answers to old challenges - Introduction to the special issue of The Energy Journal," Post-Print hal-00716778, HAL.
    • Handle: RePEc:hal:journl:hal-00716778
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    References listed on IDEAS

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    1. Chris Bataille & Mark Jaccard & John Nyboer & Nic Rivers, 2006. "Towards General Equilibrium in a Technology-Rich Model with Empirically Estimated Behavioral Parameters," The Energy Journal, , vol. 27(2_suppl), pages 1-20, June.
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