Title A multi-regional generalized RAS updating technique
Authors Temursho, Umed, Oosterhaven, Jan, CARDENETE FLORES, MANUEL ALEJANDRO, CARDENETE FLORES, MANUEL ALEJANDRO
External publication No
Means Spat. Econ. Anal.
Scope Article
Nature Científica
JCR Quartile 2
SJR Quartile 1
Area International
Publication date
ISI 000584191900001
DOI 10.1080/17421772.2020.1825782
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.
Keywords RAS; multiregional GRAS; partitioned matrix updating; non-survey regionalization methods
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