The multidimensional nD-GRAS method: Applications for the projection of multiregional input–output frameworks and valuation matrices
| Autor: | Juan Manuel Valderas-Jaramillo, José Manuel Rueda-Cantuche |
|---|---|
| Přispěvatelé: | Universidad de Sevilla. Departamento de Economía Aplicada I |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Valuation (logic)
Input/output Iterative proportional fitting Iterative proportional fitting procedure Multiregional Input-Output analysis Computer science GRAS Geography Planning and Development Applied mathematics Multidimensional balancing and projections Environmental Science (miscellaneous) Projection (set theory) Valuation matrices |
| Popis: | We present a multidimensional generalization of the GRAS method (nD-GRAS) for the estimation of multiple matrices in an integrated framework. The potential applications of this method in regional and multi-regional input–output analyses based on national/regional accounts frameworks are many. We provide two real applications, a 3D-GRAS that estimates a use table at basic prices jointly with valuation matrices for Denmark; and a 4D-GRAS for estimating intercountry input–output tables with OECD data. We show that higher dimensional GRAS methods provide more consistent and accurate estimates than those with lower number of dimensions. We provide the analytical closed-form solution and the RAS-like algorithm for an easy operationalization. |
| Databáze: | OpenAIRE |
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