IDEAS home Printed from
   My bibliography  Save this article

A Non-Sign-Preserving Ras Variant


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


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

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    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.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    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.

    More about this item


    Access and download statistics


    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:taf:ecsysr:v:26:y:2014:i:2:p:197-208. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Longhurst). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.