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A Non-Sign-Preserving Ras Variant

Author

Listed:
  • Manfred Lenzen
  • Daniel D. Moran
  • Arne Geschke
  • Keiichiro Kanemoto

Abstract

We have developed a variant of the RAS generalised iterative scaling method that is able to change the sign between successive iterates, and thus fulfil constraints that are infeasible for existing RAS variants. Like earlier RAS variants, our method can handle constraints on arbitrarily sized and shaped subsets of matrix elements, include reliability of the initial estimate and the external constraints, and deal with negative values.

Suggested Citation

  • Manfred Lenzen & Daniel D. Moran & Arne Geschke & Keiichiro Kanemoto, 2014. "A Non-Sign-Preserving Ras Variant," Economic Systems Research, Taylor & Francis Journals, vol. 26(2), pages 197-208, June.
  • Handle: RePEc:taf:ecsysr:v:26:y:2014:i:2:p:197-208
    DOI: 10.1080/09535314.2014.897933
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    References listed on IDEAS

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    1. Moses Abramovitz, 1950. "Total Inventories during Business Cycles," NBER Chapters, in: Inventories and Business Cycles, with Special Reference to Manufacturers' Inventories, pages 76-108, National Bureau of Economic Research, Inc.
    2. Batten, D & Martellato, D, 1985. "Classical versus Modern Approaches to Interregional Input-Output Analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 19(3), pages 1-15, November.
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    Cited by:

    1. Jakub Boratyński, 2016. "A Bayesian Approach to Matrix Balancing: Transformation of Industry-Level Data under NACE Revision," Central European Journal of Economic Modelling and Econometrics, CEJEME, vol. 8(4), pages 219-239, December.
    2. Coleman, Charles, 2016. "A SAS® Macro for the Generalized RAS Algorithm," MPRA Paper 77651, University Library of Munich, Germany, revised 19 Mar 2017.
    3. Koppány, Krisztián, 2017. "A növekedés lehetőségei és kockázatai. Magyarország feldolgozóipari exportteljesítményének és ágazati szerkezetének vizsgálata, 2010-2014 [Growth opportunities and risks in Hungary's industrial mix," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 17-53.
    4. Bruno Casella & Richard Bolwijn & Daniel Moran & Keiichiro Kanemoto, . "Improving the analysis of global value chains: the UNCTAD-Eora Database," UNCTAD Transnational Corporations Journal, United Nations Conference on Trade and Development.

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