IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/111973.html
   My bibliography  Save this paper

Introduction to Computational Economywide Modeling with GAMS

Author

Listed:
  • Mercado, Ruben
  • Kendrick, David

Abstract

The analysis of economywide models is a particularly demanding topic in economics since it involves the study of interdependence. It implies a move to the realm of multiple heterogeneous agents, sectors and institutions interacting in complex ways. While there are some analytical methods and results available to help us in such endeavor, computational methods become necessary when we move to medium to large size models or when we have to deal with particularly complex ones. Our goal here is to provide a basic introduction to the art of economy-wide modeling. We present a sequence of small models, we show how to implement them in the General Algebraic Modeling System (GAMS) and we perform and suggests some experiments. We start with an Input-Output model in which quantities produced are determined given technology and demand levels, we follow with a Production Prices model which determines relative prices given technology and a distributive variable, and then we move to a General Equilibrium model in which prices and quantities are determined simultaneously given technology, preferences and endowments. Finally, we introduce SAM based and Johansen style Computable General Equilibrium models.

Suggested Citation

  • Mercado, Ruben & Kendrick, David, 2002. "Introduction to Computational Economywide Modeling with GAMS," MPRA Paper 111973, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:111973
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/111973/1/MPRA_paper_111973.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zenios, Stavros A., 1996. "Modeling languages in computational economics: Gams," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 10, pages 471-488, Elsevier.
    2. Dixon, Peter B. & Parmenter, B.R., 1996. "Computable general equilibrium modelling for policy analysis and forecasting," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 1, pages 3-85, Elsevier.
    3. P. Ruben Mercado & David A. Kendrick, 1997. "HTGAMS: Hall and Taylor's Model in GAMS," CARE Working Papers 9704, The University of Texas at Austin, Center for Applied Research in Economics.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hong Zhang, 2004. "The impact of China's accession to the WTO on its economy: an imperfect competitive CGE analysis," International Economic Journal, Taylor & Francis Journals, vol. 18(1), pages 119-137.
    2. Chang, Ching-Cheng & Lin, Kuo-Jung & Lin, Hsing-Chun & Liou, Ruey-Wan & Hsu, Sheng-Ming & Hsieh, De-Yan & Hsu, Shih-Hsun, 2016. "An Economy-wide Analysis of Trade Liberalization Impacts on Rural Household Income in Taiwan," Conference papers 330222, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    3. Eduardo Haddad & Alexandre A. Porsse & Eduardo P. Ribeiro, 2006. "Modeling Interjurisdictional Tax Competition in a Federal System," ERSA conference papers ersa06p359, European Regional Science Association.
    4. Adams, Philip D. & Dixon, Peter B., 1997. "Generating detailed commodity forecasts from a computable general equilibrium model," International Journal of Forecasting, Elsevier, vol. 13(2), pages 223-236, June.
    5. Mercado, Ruben & Kendrick, David, 1998. "Hall and Taylor´s and John Taylor´s Model in DUALI," MPRA Paper 111974, University Library of Munich, Germany.
    6. J. A. Giesecke & W. J. Burns & A. Barrett & E. Bayrak & A. Rose & P. Slovic & M. Suher, 2012. "Assessment of the Regional Economic Impacts of Catastrophic Events: CGE Analysis of Resource Loss and Behavioral Effects of an RDD Attack Scenario," Risk Analysis, John Wiley & Sons, vol. 32(4), pages 583-600, April.
    7. Peter B. Dixon & Maureen T. Rimmer, 2005. "Explaining a dynamic CGE simulation with a trade-focused back-of-the-envelope analysis: the effects of eCommerce on Australia," Chapters, in: Sisira Jayasuriya (ed.), Trade Theory, Analytical Models and Development, chapter 10, Edward Elgar Publishing.
    8. Fabio Rumler, 1999. "Computable General Equilibrium Modeling, Numerical Simulations in a 2-Country Monetary General Equilibrium Model," Department of Economics Working Papers wuwp065, Vienna University of Economics and Business, Department of Economics.
    9. Brian Parmenter, 2004. "Distinguished Fellow of the Economic Society of Australia, 2003: Peter Dixon," The Economic Record, The Economic Society of Australia, vol. 80(249), pages 141-144, June.
    10. Kai Lessmann & Matthias Kalkuhl, 2020. "Climate Finance Intermediation: Interest Spread Effects in a Climate Policy Model," CESifo Working Paper Series 8380, CESifo.
    11. Das, Gouranga G. & Ginting, Edimon & Horridge, Mark & Yamano, Takashi, 2023. "Growth Constraints and Structural Diversification for Kyrgyzstan Economy: Policy Analysis of Key Reforms and its Implications," GLO Discussion Paper Series 1250, Global Labor Organization (GLO).
    12. Esmedekh Lkhanaajav, 2016. "CoPS-style CGE modelling and analysis," Centre of Policy Studies/IMPACT Centre Working Papers g-264, Victoria University, Centre of Policy Studies/IMPACT Centre.
    13. Hochman, Gal & Rajagopal, Deepak & Timilsina, Govinda & Zilberman, David, 2011. "The role of inventory adjustments in quantifying factors causing food price inflation," Policy Research Working Paper Series 5744, The World Bank.
    14. mercado, p. ruben, 2003. "Empirical economywide modeling in argentina," MPRA Paper 58611, University Library of Munich, Germany.
    15. Piermartini, Roberta & Teh, Robert, 2005. "Demystifying modelling methods for trade policy," WTO Discussion Papers 10, World Trade Organization (WTO), Economic Research and Statistics Division.
    16. Haddad, Eduardo A. & Hewings, Geoffrey J.D. & Porsse, Alexandre A. & Van Leeuwen, Eveline S. & Vieira, Renato S., 2015. "The underground economy: Tracking the higher-order economic impacts of the São Paulo Subway System," Transportation Research Part A: Policy and Practice, Elsevier, vol. 73(C), pages 18-30.
    17. Östblom, Göran, 1999. "An Environmental Medium Term Economic Model - EMEC," Working Papers 69, National Institute of Economic Research.
    18. Kumaraswamy Vela Velupillai, 2013. "Turing's Economics. A Birth Centennial Homage," Economia politica, Società editrice il Mulino, issue 1, pages 13-32.
    19. Haddad Eduardo Amaral & Okuyama Yasuhide, 2016. "Spatial Propagation of the Economic Impacts of Bombing: The Case of the 2006 War in Lebanon," Review of Middle East Economics and Finance, De Gruyter, vol. 12(3), pages 225-256, December.
    20. Eduardo Haddad & Geoffrey Hewings, 2007. "Analytically Important Transportation Links: A Field Of Influence Approach To Cge Models," Anais do XXXV Encontro Nacional de Economia [Proceedings of the 35th Brazilian Economics Meeting] 085, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

    More about this item

    Keywords

    Economywide Models - Input Output Models - Production Prices Models - Computable General Equilibrium Models;

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:111973. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.