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Social Accounting Matrices and Economic Modelling

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  • Pauw, Kalie

Abstract

A Social Accounting Matrix (SAM) is a comprehensive, economy-wide database that contains information about the flow of resources associated with all transactions that have taken place between economic agents in an economy during a given period of time. Its use can extend beyond that of serving as a summary of transactions that have taken place in an economy. The SAM approach to modelling makes use of the SAM format to present economic theory. The versatility of SAMs has made them databases of preference for economic modelling. This paper provides an overview of the structure of a SAM, touching on issues such as economic accounting, the circular flow of resources in the economy and the SAM-accounts, and thereafter explains the SAM approach to modelling. As such the paper serves as a reference framework for users of SAMs.

Suggested Citation

  • Pauw, Kalie, 2003. "Social Accounting Matrices and Economic Modelling," Background Paper Series 15610, PROVIDE Project.
    • Handle: RePEc:ags:provbp:15610
    DOI: 10.22004/ag.econ.15610
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    File URL: https://ageconsearch.umn.edu/record/15610/files/bp030004.pdf
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    Cited by:

    1. Alfredo J. Mainar Causape & Emanuele Ferrari & Scott McDonald, 2018. "Social accounting matrices: basic aspects and main steps for estimation," JRC Research Reports JRC112075, Joint Research Centre.
    2. Prof. Sasho Kjosev Ph. D & Assist. Prof. Gjorgji Gockov Ph. D & Assist. Prof. Ljupcho Eftimov, Ph.D, 2014. "Why Is The Social Accounting Matrix Important For The Republic Of Macedonia?," Revista Tinerilor Economisti (The Young Economists Journal), University of Craiova, Faculty of Economics and Business Administration, vol. 1(23), pages 45-50, November.
    3. Paul Allin & David J. Hand, 2017. "From a System of National Accounts to a Process of National Wellbeing Accounting," International Statistical Review, International Statistical Institute, vol. 85(2), pages 355-370, August.

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    Keywords

    Research Methods/ Statistical Methods;

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