A multi-regional generalized RAS updating technique. Issue 3 (3rd July 2021)

• Record Type: Journal Article
• Authors: Temursho, Umed; Oosterhaven, Jan; Cardenete, M. Alejandro
• Is Part Of: Spatial economic analysis. Volume 16:Issue 3(2021)
• Page Start: 271
• Page End: 286
• Publication Date: 2021-07-03
• Subjects: RAS -- multiregional GRAS -- partitioned matrix updating -- non-survey regionalization methods; C2 -- C61 -- C80 -- D57; Space in economics -- Periodicals; Economic geography -- Periodicals; Space in economics -- Econometric models -- Periodicals; Urbanization -- Periodicals; Espace (Économie politique) -- Périodiques; Économétrie -- Périodiques; Géographie économique -- Périodiques; Économie industrielle -- Périodiques; Économie du travail -- Périodiques; Économie urbaine -- Périodiques; Politique économique -- Périodiques; Relations économiques internationales -- Périodiques; 330.9
• DOI: 10.1080/17421772.2020.1825782
• Languages: English
• ISSNs: 1742-1772

Abstract

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.