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A multi-regional generalized RAS updating technique

Autores

Temursho, Umed , Oosterhaven, Jan , CARDENETE FLORES, MANUEL ALEJANDRO

Publicación externa

No

Medio

Spat. Econ. Anal.

Alcance

Article

Naturaleza

Científica

Cuartil JCR

Cuartil SJR

Impacto JCR

2.317

Impacto SJR

0.686

Fecha de publicacion

01/01/2021

ISI

000584191900001

Scopus Id

2-s2.0-85095768534

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.

Palabras clave

RAS; multiregional GRAS; partitioned matrix updating; non-survey regionalization methods

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