A SAS® Macro for the Generalized RAS Algorithm

Charles Coleman ()

MPRA Paper from University Library of Munich, Germany

Abstract: Demographers and economists frequently encounter the problem of constraining matrices of mixed sign to controls of possibly mixed sign. The recently developed Generalized RAS (GRAS) algorithm is presented to solve these problems. The GRAS algorithm produces a unique solution that minimizes an entropy-like function. The algorithm is applied to a well-known example and compared to the solution originally obtained using a generalization of the Akers-Siegel procedure.

Keywords: matrix scaling; matrix raking; matrix balancing; mixed signs; GRAS; SAS; plus-minus problem; migration (search for similar items in EconPapers)
JEL-codes: C02 C67 D57 J19 R15 (search for similar items in EconPapers)
Date: 2016-12-13, Revised 2017-03-19
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https://mpra.ub.uni-muenchen.de/77651/1/MPRA_paper_77651.pdf original version (application/pdf)
https://mpra.ub.uni-muenchen.de/77797/1/MPRA_paper_77797.pdf revised version (application/pdf)
https://mpra.ub.uni-muenchen.de/77842/1/MPRA_paper_77797.pdf revised version (application/pdf)
https://mpra.ub.uni-muenchen.de/78182/1/MPRA_paper_78182.pdf revised version (application/pdf)

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