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Solving Applied General Equilibrium Models Represented as a Mixture of Linearized and Levels Equations

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  • Harrison, W Jill
  • Pearson, K. R.
  • Powell, Alan A.
  • Small, John E.

Abstract

General equilibrium models are usually represented as a system of levels equations (e.g., in North America) or a system of linearized equations (e.g., in Australia). Either representation can be used to obtain accurate solutions. General-purpose software is available in both cases--GAMS or MPS/GE is typically used by levels modellers and GEMPACK by linearizers. Some equations (notably accounting identities) are naturally expressed in the levels while others (especially behavioural equations) are naturally expressed in a linearized form. This paper describes the new GEMPACK facility for solving models represented as a mixture of levels and linearized equations and discusses the advantages to modellers of using such a representation. Coauthors are K. R. Pearson, Alan A. Powell and E. John Small. Citation Copyright 1994 by Kluwer Academic Publishers.

Suggested Citation

  • Harrison, W Jill & Pearson, K. R. & Powell, Alan A. & Small, John E., 1994. "Solving Applied General Equilibrium Models Represented as a Mixture of Linearized and Levels Equations," Computational Economics, Springer;Society for Computational Economics, vol. 7(3), pages 203-223.
    • Handle: RePEc:kap:compec:v:7:y:1994:i:3:p:203-23
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    References listed on IDEAS

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    1. Hertel, Thomas W. & Mark Horridge, J. & Pearson, K. R., 1992. "Mending the family tree a reconciliation of the linearization and levels schools of AGE modelling," Economic Modelling, Elsevier, vol. 9(4), pages 385-407, October.
    2. M. Kohlhaas & K.R. Pearson, 2002. "Introduction to GEMPACK for GAMS Users," Centre of Policy Studies/IMPACT Centre Working Papers ip-79, Victoria University, Centre of Policy Studies/IMPACT Centre.
    3. Maureen T. Rimmer & Alan A. Powell, 1992. "An Implicitly Directly Additive Demand System: Estimates for Australia," Centre of Policy Studies/IMPACT Centre Working Papers op-73, Victoria University, Centre of Policy Studies/IMPACT Centre.
    4. Maureen T. Rimmer & Alan A. Powell, 1992. "Demand Patterns Across the Development Spectrum: Estimates for the AIDADS System," Centre of Policy Studies/IMPACT Centre Working Papers op-75, Victoria University, Centre of Policy Studies/IMPACT Centre.
    5. Mark Horridge, 2000. "ORANI-G: A General Equilibrium Model of the Australian Economy," Centre of Policy Studies/IMPACT Centre Working Papers op-93, Victoria University, Centre of Policy Studies/IMPACT Centre.
    6. Cooper, Russel J & McLaren, Keith R, 1996. "A System of Demand Equations Satisfying Effectively Global Regularity Conditions," The Review of Economics and Statistics, MIT Press, vol. 78(2), pages 359-364, May.
    7. Russel J. Cooper & Keith R. McLaren, 1992. "An Empirically Oriented Demand System with Improved Regularity Properties," Canadian Journal of Economics, Canadian Economics Association, vol. 25(3), pages 652-668, August.
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    Cited by:

    1. Powell, Alan A. & McLaren, Keith R. & Pearson, K.R. & Rimmer, Maureen T., 2002. "Cobb-Douglas Utility - Eventually!," Conference papers 330977, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    2. Britz, Wolfgang & van der Mensbrugghe, Dominique, 2016. "Reducing unwanted consequences of aggregation in large-scale economic models - A systematic empirical evaluation with the GTAP model," Economic Modelling, Elsevier, vol. 59(C), pages 463-472.
    3. W. Jill Harrison & K.R. Pearson, 1994. "Multiregional and Intertemporal AGE Modelling via GEMPACK," Centre of Policy Studies/IMPACT Centre Working Papers ip-66, Victoria University, Centre of Policy Studies/IMPACT Centre.
    4. Everett B. Peterson, 2019. "Incorporating Unemployment into the GTAP Model," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 4(2), pages 67-107, December.
    5. Guilhoto, Joaquim J.M., 1995. "Um modelo computável de equilíbrio geral para planejamento e análise de políticas agrícolas (PAPA) na economia brasileira [A computable general equilibrium model for planning and analysis of agricu," MPRA Paper 42349, University Library of Munich, Germany.
    6. Mark D. Partridge & Dan S. Rickman, 1998. "Regional Computable General Equilibrium Modeling: A Survey and Critical Appraisal," International Regional Science Review, , vol. 21(3), pages 205-248, December.
    7. Kancs, d'Artis, 2002. "Modelling Renewable Energy Policies," Conference papers 331030, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.

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    More about this item

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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