Linear aggregation of input-output models

The aggregation of input-output models is analyzed. Three axioms are shown to characterize a simple functional form for aggregation; then the properties of the aggregated model are analyzed relative to the original model. Since an input-output model is driven by a square substochastic matrix, these results can also be viewed as facts about abstract mappings involving substochastic matrices.