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Characterization of social accounting matrix variables using pretopology theory

Author

Listed:
  • José Contreras

    (Investigador Senior de Economía, Oficina de Investigaciones Económicas, Banco Central de Venezuela. Avenida Urdaneta, esquina Las Carmelitas, Apartado postal 2017. Caracas, 1010.)

  • Nora Guarata

    (Investigador Senior de Economía, Oficina de Investigaciones Económicas, Banco Central de Venezuela. Avenida Urdaneta, esquina Las Carmelitas, Apartado postal 2017. Caracas, 1010.)

  • Arturo Reyes

    (Profesor jubilado Facultad de Ciencias, Escuela de Matemática. Universidad Central de Venezuela. Avenida Los Ilustres, Los Chaguaramos, Apartado postal, 20513. Caracas 1020.)

Abstract

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 relationships, a table with closure and pseudoclusure, along with the corresponding diagrams.

Suggested Citation

  • José Contreras & Nora Guarata & Arturo Reyes, 2011. "Characterization of social accounting matrix variables using pretopology theory," Economía, Instituto de Investigaciones Económicas y Sociales (IIES). Facultad de Ciencias Económicas y Sociales. Universidad de Los Andes. Mérida, Venezuela, vol. 36(32), pages 139-167, july-dece.
    • Handle: RePEc:ula:econom:v:36:y:2011:i:32:p:139-167
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    More about this item

    Keywords

    Pretopology; social account matrix; hierarchy.;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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