Characterization of social accounting matrix variables using pretopology theory

In this paper, we introduced the pretopological approach to characterize and rank endogenous variables from a Social Accounting Matrix (SAM). Pretopological spaces are mathematical structures that enable the possibility to establish a ranking among elements of a set, once we lay down the binary relationships of influence among elements. Through definitions such as closure, pseudoclusure, minimal closed subsets and examples, we set a framework that allows the characterization of the relations among the elements of a SAM. We present a matrix with the corresponding elationships, a table with closure and pseudoclusure, along with the corresponding diagrams.