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A multi-regional generalized RAS updating technique

Author

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  • Umed Temursho
  • Jan Oosterhaven
  • M. Alejandro Cardenete

Abstract

We present an extension of the generalized RAS (GRAS) technique to a multi-regional (MR) or multi-national setting. The framework is applicable to updating/regionalizing/balancing any partitioned matrix that needs to conform to new row sums, column sums and additional non-overlapping aggregation constraints. The technique, which we refer to as MR-GRAS, also handles non-exhaustive constraints, in which case the missing values are endogenously generated in the updating process. We derive the closed-form solution of MR-GRAS, propose a simple iterative algorithm for its computation, and discuss the main analytical properties of the method as well as the normalization and interpretation of MR-GRAS multipliers. From a wide range of possible MR-GRAS applications, several updating frameworks of national and interregional supply and use tables are examined.

Suggested Citation

  • Umed Temursho & Jan Oosterhaven & M. Alejandro Cardenete, 2021. "A multi-regional generalized RAS updating technique," Spatial Economic Analysis, Taylor & Francis Journals, vol. 16(3), pages 271-286, July.
    • Handle: RePEc:taf:specan:v:16:y:2021:i:3:p:271-286
    DOI: 10.1080/17421772.2020.1825782
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    Cited by:

    1. Kotlikoff, Laurence J. & Lagarda, Guillermo & Marin, Gabriel, 2023. "A Personalized VAT with Capital Transfers: A Reform to Protect Low-Income Households in Mexico," IDB Publications (Working Papers) 12985, Inter-American Development Bank.
    2. Gupta, Ruchi & Guibentif, Thomas M.M. & Friedl, Markus & Parra, David & Patel, Martin Kumar, 2023. "Macroeconomic analysis of a new green hydrogen industry using Input-Output analysis: The case of Switzerland," Energy Policy, Elsevier, vol. 183(C).

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