Regional computable general equilibrium modeling

James Andrew Giesecke, John Robert Madden

    Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

    13 Citations (Scopus)

    Abstract

    Over the past three decades the field of regional computable general equilibrium (CGE) modeling has flourished, growing from a handful of top-down, single-region and low-dimensioned multiregional models, to a mature field, in which output of large-scale general-purpose multiregional CGE models has become a standard input to policy deliberations in a growing number of countries. Researchers have ensured that innovations in theory, data construction and model application have matched growth in both computing power and the appetite of government decision makers for expanding levels of policy-relevant regional and sectoral detail. This chapter focuses on the development of the field, its current state, and its accomplishments in elucidating important research questions and policy issues in regional economics. We begin by discussing the development of regional CGE modeling as a subdiscipline of CGE modeling, expanding on the distinguishing attributes of regional CGE models. We then discuss policy applications of regional CGE models, demonstrating the power of such models to answer important policy questions and providing an application-driven motivation for our discussion of the innovations in the field. We consider the key theoretical features of multiregional CGE models, identifying the many ways researchers have modeled the behavior of economic agents in a multiregional context. The paucity of data at the regional level suitable for CGE modeling has long been a constraint and so we discuss methods for populating a multiregional model?s database. We then undertake simulations with a large-scale CGE model and show how output of the model can be communicated in a way that does not presume knowledge of the details of the underlying model. We note that effective communication of the results of regional CGE modeling studies, based on a correct interpretation of the model mechanisms which underlie them, is a prerequisite for its acceptance in policy circles.
    Original languageEnglish
    Title of host publicationHandbook of Computable General Equilibrium Modeling: Volume 1A
    EditorsPeter B Dixon, Dale W Jorgenson
    Place of PublicationAmsterdam Netherlands
    PublisherNorth-Holland
    Pages379 - 475
    Number of pages97
    Edition1st
    ISBN (Print)9780444536341
    DOIs
    Publication statusPublished - 2013

    Cite this

    Giesecke, J. A., & Madden, J. R. (2013). Regional computable general equilibrium modeling. In P. B. Dixon, & D. W. Jorgenson (Eds.), Handbook of Computable General Equilibrium Modeling: Volume 1A (1st ed., pp. 379 - 475). Amsterdam Netherlands: North-Holland. https://doi.org/10.1016/B978-0-444-59568-3.00007-9
    Giesecke, James Andrew ; Madden, John Robert. / Regional computable general equilibrium modeling. Handbook of Computable General Equilibrium Modeling: Volume 1A. editor / Peter B Dixon ; Dale W Jorgenson. 1st. ed. Amsterdam Netherlands : North-Holland, 2013. pp. 379 - 475
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    Giesecke, JA & Madden, JR 2013, Regional computable general equilibrium modeling. in PB Dixon & DW Jorgenson (eds), Handbook of Computable General Equilibrium Modeling: Volume 1A. 1st edn, North-Holland, Amsterdam Netherlands, pp. 379 - 475. https://doi.org/10.1016/B978-0-444-59568-3.00007-9

    Regional computable general equilibrium modeling. / Giesecke, James Andrew; Madden, John Robert.

    Handbook of Computable General Equilibrium Modeling: Volume 1A. ed. / Peter B Dixon; Dale W Jorgenson. 1st. ed. Amsterdam Netherlands : North-Holland, 2013. p. 379 - 475.

    Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

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    Giesecke JA, Madden JR. Regional computable general equilibrium modeling. In Dixon PB, Jorgenson DW, editors, Handbook of Computable General Equilibrium Modeling: Volume 1A. 1st ed. Amsterdam Netherlands: North-Holland. 2013. p. 379 - 475 https://doi.org/10.1016/B978-0-444-59568-3.00007-9