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Entropy Theory and RAS are Friends

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  • McDougall, Robert

Abstract

May 1999 Presented at the 2nd Annual Conference on Global Economic Analysis Recent research in applications of entropy theory to matrix balancing problems in eco-nomics has put powerful new tools in the hands of data base developers, but overshadowed some previous findings. We recall earlier findings that the RAS is an entropy-theoretic model. Investigating the properties of a more recently proposed entropy-theoretic model, we find that in general the RAS remains preferable. We show further that the RAS can be obtained also as a generalised cross-entropy model. Finally, we present examples illus-trating how entropy-theoretic techniques can extend the RAS to handle a wider range of problems.

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Bibliographic Info

Paper provided by Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University in its series GTAP Working Papers with number 300.

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Date of creation: 1999
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Handle: RePEc:gta:workpp:300

Note: GTAP Working Paper No. 06
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Cited by:
  1. Ichihara, Silvio Massaru & Guilhoto, Joaquim José Martins & Imori, Denise, 2008. "Geoprocessing and estimation of interregional input-output systems an application to the state of Sao Paulo in Brazil," MPRA Paper 54036, University Library of Munich, Germany.
  2. Rich, Jeppe & Mulalic, Ismir, 2012. "Generating synthetic baseline populations from register data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 467-479.
  3. Romero, Carlos A., 2009. "Calibración de modelos de equilibrio general computado: Métodos y práctica usual
    [Calibration of CGE models: Methods and current practice]
    ," MPRA Paper 17767, University Library of Munich, Germany.
  4. Haykel Hadj Salem, 2004. "The Macroeconomic Social Accounting Matrix of Tunisia in 1996," Computational Economics 0410001, EconWPA.
  5. Sherman Robinson & Andrea Cattaneo & Moataz El-Said, 2001. "Updating and Estimating a Social Accounting Matrix Using Cross Entropy Methods," Economic Systems Research, Taylor & Francis Journals, vol. 13(1), pages 47-64.
  6. Casiano Peñate & Dolores Peñate, 2003. "New Nonlinear Approaches for the Adjustment and Updating of a SAM," Economic Change and Restructuring, Springer, vol. 36(3), pages 259-272, September.
  7. Ramos Carvajal, Carmen & Fernández Vázquez, Esteban, 2002. "Temporal projection of an input-output tables series for the region of Asturias," ERSA conference papers ersa02p211, European Regional Science Association.
  8. Arief Anshory Yusuf, 2006. "Constructing Indonesian Social Accounting Matrix for Distributional Analysis in the CGE Modelling Framework," Working Papers in Economics and Development Studies (WoPEDS) 200604, Department of Economics, Padjadjaran University, revised Nov 2006.
  9. Canning, Patrick & Wang, Zhi, 2004. "A flexible modeling framework to estimate interregional trade patterns and input-output accounts," Policy Research Working Paper Series 3359, The World Bank.
  10. Casiano Peñate & Dolores Peñate, 2004. "New Nonlinear Approaches for the Adjustment and Updating of a SAM," Economic Change and Restructuring, Springer, vol. 36(3), pages 259-272, September.
  11. M. Alejandro Cardenete & Ferran Sancho, 2002. "Sensitivity of Simulation Results to Competing SAM Updates," UFAE and IAE Working Papers 556.02, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
  12. Chisari, Omar Osvaldo & Mastronardi, Leonardo Javier & Romero, Carlos Adrián, 2012. "Building an input-output Model for Buenos Aires City," MPRA Paper 40028, University Library of Munich, Germany.

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