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Sensitivity of Simulation Results to Competing SAM Updates

  • M. Alejandro Cardenete
  • Ferran Sancho

    ()

Recently there has been a renewed research interest in the properties of non survey updates of input-output tables and social accounting matrices (SAM). Along with the venerable and well known scaling RAS method, several alternative new procedures related to entropy minimization and other metrics have been suggested, tested and used in the literature. Whether these procedures will eventually substitute or merely complement the RAS approach is still an open question without a definite answer. The performance of many of the updating procedures has been tested using some kind of proximity or closeness measure to a reference input-output table or SAM. The first goal of this paper, in contrast, is the proposal of checking the operational performance of updating mechanisms by way of comparing the simulation results that ensue from adopting alternative databases for calibration of a reference applied general equilibrium model. The second goal is to introduce a new updatin! g procedure based on information retrieval principles. This new procedure is then compared as far as performance is concerned to two well-known updating approaches: RAS and cross-entropy. The rationale for the suggested cross validation is that the driving force for having more up to date databases is to be able to conduct more current, and hopefully more credible, policy analyses.

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Paper provided by Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC) in its series UFAE and IAE Working Papers with number 556.02.

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Length: 32
Date of creation: 15 Dec 2002
Date of revision:
Handle: RePEc:aub:autbar:556.02
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  1. McDougall, Robert, 1999. "Entropy Theory and RAS are Friends," GTAP Working Papers 300, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
  2. 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.
  3. Golan, Amos & Judge, George & Robinson, Sherman, 1994. "Recovering Information from Incomplete or Partial Multisectoral Economic Data," The Review of Economics and Statistics, MIT Press, vol. 76(3), pages 541-49, August.
  4. Ballard, Charles L. & Fullerton, Don & Shoven, John B. & Whalley, John, 2009. "A General Equilibrium Model for Tax Policy Evaluation," National Bureau of Economic Research Books, University of Chicago Press, edition 0, number 9780226036335, May.
  5. Charles L. Ballard & Don Fullerton & John B. Shoven & John Whalley, 1985. "Introduction to "A General Equilibrium Model for Tax Policy Evaluation"," NBER Chapters, in: A General Equilibrium Model for Tax Policy Evaluation, pages 1-5 National Bureau of Economic Research, Inc.
  6. Kehoe, Timothy J. & Whalley, John, 1985. "Uniqueness of equilibrium in large-scale numerical general equilibrium models," Journal of Public Economics, Elsevier, vol. 28(2), pages 247-254, November.
  7. Robinson, Sherman & Cattaneo, Andrea & El-Said, Moataz, 1998. "Estimating a social accounting matrix using cross entropy methods:," TMD discussion papers 33, International Food Policy Research Institute (IFPRI).
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