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Empirical economywide modeling in argentina

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  • mercado, p. ruben

Abstract

This article deals with the work carried out in Argentine institutions at the level of empirical economywide modeling, particularly in the fields of input-output and computable general equilibrium modeling, pointing out some limitations and proposing possible extensions.

Suggested Citation

  • mercado, p. ruben, 2003. "Empirical economywide modeling in argentina," MPRA Paper 58611, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:58611
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    1. Kendrick, David A & Amman, Hans M, 1999. "Programming Languages in Economics," Computational Economics, Springer;Society for Computational Economics, vol. 14(1-2), pages 151-181, October.
    2. Harrison, Glenn W & Vinod, H D, 1992. "The Sensitivity Analysis of Applied General Equilibrium Models: Completely Randomized Factorial Sampling Designs," The Review of Economics and Statistics, MIT Press, vol. 74(2), pages 357-362, May.
    3. Alex R. Hoen, 2002. "Identifying Linkages with a Cluster-based Methodology," Economic Systems Research, Taylor & Francis Journals, vol. 14(2), pages 131-146, June.
    4. Mercado, P. Ruben & Kendrick, David A., 2000. "Caution in macroeconomic policy: uncertainty and the relative intensity of policy," Economics Letters, Elsevier, vol. 68(1), pages 37-41, July.
    5. Geoffrey J.D. Hewings, 1985. "Regional Input-Output Analysis," Book Chapters, in: Grant I. Thrall (ed.),Scientific Geography Series, pages 52, Regional Research Institute, West Virginia University.
    6. Harrison, Glenn W. & Jones, Richard & Kimbell, Larry J. & Wigle, Randal, 1993. "How robust is applied general equilibrium analysis?," Journal of Policy Modeling, Elsevier, vol. 15(1), pages 99-115, February.
    7. Seung-Rae Kim, 2004. "Uncertainty, Political Preferences, and Stabilization: Stochastic Control Using Dynamic CGE Models," Computational Economics, Springer;Society for Computational Economics, vol. 24(2), pages 97-116, September.
    8. Arndt, Channing, 1996. "An Introduction To Systematic Sensitivity Analysis Via Gaussian Quadrature," Technical Papers 28709, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    9. 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.
    10. Chisari, Omar O. & Romero, Carlos Adrián, 1996. "Distribución del ingreso, asignación de recursos y shocks macroeconómicos: un modelo de equilibrio general computado para la Argentina en 1993," Financiamiento para el Desarrollo 5238, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    11. Shoven,John B. & Whalley,John, 1992. "Applying General Equilibrium," Cambridge Books, Cambridge University Press, number 9780521266550.
    12. Sack, Brian, 2000. "Does the fed act gradually? A VAR analysis," Journal of Monetary Economics, Elsevier, vol. 46(1), pages 229-256, August.
    13. Chisari, Omar & Estache, Antonio & Romero, Carlos, 1999. "Winners and Losers from the Privatization and Regulation of Utilities: Lessons from a General Equilibrium Model of Argentina," The World Bank Economic Review, World Bank, vol. 13(2), pages 357-378, May.
    14. Geoffrey J.D. Hewings, 1985. "Regional Input-Output Analysis," Wholbk, Regional Research Institute, West Virginia University, number 11 edited by Grant I. Thrall, November-.
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    Cited by:

    1. Martín Cicowiez & Javier Alejo & Luciano Di Gresia & Sergio Olivieri & World Bank & Ana Pacheco, 2016. "Export Taxes, World Prices, and Poverty in Argentina: A Dynamic CGEMicrosimulation Analysis [model, Argentina. Classification-JEL: C68, D58, I38, E62]," International Journal of Microsimulation, International Microsimulation Association, vol. 9(1), pages 24-54.

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    More about this item

    Keywords

    argentina; input output models; computable general equilibrium models;
    All these keywords.

    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
    • O2 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy

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