Computable general equilibrium modeling requires a consistent and coherent benchmark data set, which are generally organized in the form of a Social Accounting Matrix (SAM). These data generally come from quite diverse sources and correspond to different periods of time. As a result, the often present inconsistencies. We present a simple computer program that makes it possible to reconcile this information in order to balance a SAM. The program minimizes the changes to the base data using various optimizing techniques, including cross-entropy and least squares. The program is an attractive and easy alternative to the arbitrary and time consuming manual and other methods generally used to balance SAMs.
I. Fofana, A. Lemelin and J. Cockburn (2005), Balancing a Social Accounting Matrix: Theory and Application, Mimeo, CIRPEE et PEP, Université Laval.