Social Accounting Matrix of Kenya 2014
Hasan Dudu (),
Emanuele Ferrari (),
Scott McDonald () and
Arnaldo Caivano ()
Additional contact information
Scott McDonald: Humboldt University of Berlin
Arnaldo Caivano: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
No JRC110385, JRC Research Reports from Joint Research Centre (Seville site)
A Social Accounting Matrix (SAM) is a comprehensive and economy-wide database recording data about all transactions between economic agents in a certain economy during a certain period of time. SAMs have a triple use: on the one hand, they offer in themselves a detailed description of the economic structure and circular flows of the income of a country or region; on the other, a battery of indicators and multipliers can be obtained from them, applying directly intuitive linear models; and, finally, they are the reference database for the calibration and exploitation of Computable General Equilibrium (CGE) Models. This report presents the Social Accounting Matrix of Kenya for the year 2014, describing its specific structure and the basis for its estimation. In this sense, it is necessary to highlight the special structure of this SAM to reflect the Home Production for Home Consumption (HPHC) issue and a high disaggregation of agricultural and food sectors, both aspects so relevant in developing countries. In addition, some results of the exploitation of the SAM are presented, both descriptive (aggregate macroeconomic variables, sectoral value added and household income and consumption) and from the application of linear multipliers analysis (backward linkages, value chain decomposition and Structural Path Analysis). Finally, a complete on-line application is presented, both for the download of the SAM, and for the visualization of some indicators derived directly from it.
Keywords: Social Accounting Matrix; Kenya; Linear multipliers (search for similar items in EconPapers)
Pages: 58 pages
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Persistent link: https://EconPapers.repec.org/RePEc:ipt:iptwpa:jrc110385
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