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<dc:title>A MultiRegional Generalized RAS Update Technique</dc:title>
<dc:creator>Cardenete Flores, Manuel Alejandro</dc:creator>
<dc:creator>Temurshoev , Umed</dc:creator>
<dc:creator>Oosterhaven, Jan</dc:creator>
<dc:subject>RAS</dc:subject>
<dc:subject>Multiregional GRAS</dc:subject>
<dc:subject>Partitioned matrix updating</dc:subject>
<dc:subject>Non-survey regionalization methos</dc:subject>
<dc:description>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.</dc:description>
<dc:date>2023-05-20T10:22:36Z</dc:date>
<dc:date>2023-05-20T10:22:36Z</dc:date>
<dc:date>2021</dc:date>
<dc:type>article</dc:type>
<dc:identifier>https://hdl.handle.net/20.500.12412/3998</dc:identifier>
<dc:language>spa</dc:language>
<dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 Internacional</dc:rights>
<dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
<dc:rights>openAccess</dc:rights>
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<dc:creator>Cardenete Flores, Manuel Alejandro</dc:creator>
<dc:creator>Temurshoev , Umed</dc:creator>
<dc:creator>Oosterhaven, Jan</dc:creator>
<dc:date>2021</dc:date>
<dc:description>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.</dc:description>
<dc:identifier>https://hdl.handle.net/20.500.12412/3998</dc:identifier>
<dc:language>spa</dc:language>
<dc:subject>RAS</dc:subject>
<dc:subject>Multiregional GRAS</dc:subject>
<dc:subject>Partitioned matrix updating</dc:subject>
<dc:subject>Non-survey regionalization methos</dc:subject>
<dc:title>A MultiRegional Generalized RAS Update Technique</dc:title>
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