Generalized RAS, matrix balancing/updating, biproportional method

Version 1.1.0.0 (2.39 KB) by Umed Temurshoev
Matrix balancing/updating/estimation using the Generalized RAS approach
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810 Downloads
Updated 4 Sep 2013

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PURPOSE: estimate a new matrix X with exogenously given row and column totals that is a close as possible to a given original matrix X0 using the so-called Generalized RAS (GRAS) approach.

Open the directory where gras.m is saved, write in the MATLAB editor
>> help gras
and you will easily understand how to use this function.

All the details of the GRAS approach are described in Temurshoev, U., Miller R.E. and M.C. Bouwmeester (2013), A note on the GRAS method, Economic Systems Research, 25:3, pp. 361-367. If you use this program and publish the results in the form of working/discussion papers, journal articles etc., you are kindly asked to cite the mentioned paper (its web Appendix includes the current code).

Cite As

Umed Temurshoev (2024). Generalized RAS, matrix balancing/updating, biproportional method (https://www.mathworks.com/matlabcentral/fileexchange/43231-generalized-ras-matrix-balancing-updating-biproportional-method), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2010a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.1.0.0

Added "biproportional method" to title and tags of this file
1.0.0.0