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Cell‐Corrected Ras Method (Cras) For Updating Or Regionalizing An Input–Output Matrix

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  • Roberto Mínguez
  • Jan Oosterhaven
  • Fernando Escobedo

Abstract

ABSTRACT The RAS method is used to update or regionalize a single matrix such that it conforms to new row and column totals. This paper presents a correction of the RAS method (CRAS) that uses cell variation distributions calculated from multiple matrices of different periods or different regions. After the solution of the regular RAS, an additional optimization problem is solved that produces the most likely cell‐corrections to the regular RAS solution. To test the behavior of CRAS, several simulations with a time series of input–output tables for The Netherlands for 1968–1986 are made. They show that—in situations of structural change—applying CRAS improves the regular RAS estimate. The method will also be applicable to traffic, trade, and migration matrices.

Suggested Citation

  • Roberto Mínguez & Jan Oosterhaven & Fernando Escobedo, 2009. "Cell‐Corrected Ras Method (Cras) For Updating Or Regionalizing An Input–Output Matrix," Journal of Regional Science, Wiley Blackwell, vol. 49(2), pages 329-348, May.
    • Handle: RePEc:bla:jregsc:v:49:y:2009:i:2:p:329-348
    DOI: 10.1111/j.1467-9787.2008.00594.x
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    References listed on IDEAS

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    Cited by:

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    2. Umed Temursho & Manuel Alejandro Cardenete & Krzysztof Wojtowicz & Luis Rey & Matthias Weitzel & Toon Vandyck & Bert Saveyn, 2020. "Projecting input-output tables for model baselines," JRC Research Reports JRC120513, Joint Research Centre.
    3. Szabó, Norbert, 2015. "Methods for regionalizing input-output tables," MPRA Paper 73947, University Library of Munich, Germany.
    4. Martana, Kadim & Evison, David & Lennox, James A. & Manley, Bruce, 2012. "Constructing a regional Social Accounting Matrix using non survey method for CGE Modeling," 2012 Conference, August 31, 2012, Nelson, New Zealand 136049, New Zealand Agricultural and Resource Economics Society.
    5. Xesús Pereira-López & Napoleón Guillermo Sánchez-Chóez & Melchor Fernández-Fernández, 2021. "Performance of bidimensional location quotients for constructing input–output tables," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 10(1), pages 1-16, December.
    6. Arne Geschke & Julien Ugon & Manfred Lenzen & Keiichiro Kanemoto & Daniel Dean Moran, 2019. "Balancing and reconciling large multi-regional input–output databases using parallel optimisation and high-performance computing," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-24, December.
    7. M. Alejandro Cardenete & M. Carmen Delgado & Patricia D. Fuentes & M. Carmen Lima & Alfredo J. Mainar & Jose M. Rueda-Cantuche & Sébastien Mary & Fabien Santini & Sergio Gomez y Paloma, 2015. "Rural-urban social accounting matrixes for modelling the impact of rural development policies in the EU," JRC Research Reports JRC94394, Joint Research Centre.

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