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A 1995 social accounting matrix for Zambia:

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  • Hausner, Ulrich

Abstract

This paper documents the construction of the 1995 Social Accounting Matrix for Zambia (ZAMSAM). The SAM incorporates economy-wide data in a consistent framework and provides the benchmark data for the analysis under the MERRISA project. Data sources include national accounts data, government budgets, balance of payments statistics, trade data, household surveys, and farm budgets. The SAM construction can be divided into three steps: First, a highly aggregated SAM (macro SAM) is constructed. It represents the macroeconomic framework of the Zambian economy. Second, the macro SAM is disaggregated into a micro SAM with the macro SAM entries serving as control totals for various sub-matrices of the micro SAM. Due to data insufficiencies, the first micro SAM obtained from raw data is highly unbalanced. Thus, in a third step and after some prior adjustments, a cross-entropy approach is applied to balance the first micro SAM and generate the final estimated SAM. The result is a consistent and balanced SAM for Zambia in 1995 that comprises 28 activities, 27 commodities, 6 factors of production (4 labor categories, 1 capital, and 1 land account), 4 household types, and one account each for enterprises, government, rest-of-the-world, and investment/ savings. Special features of the Zambian micro SAM include its focus on agriculture (13 agricultural commodities), the consideration of non-monetary, own-household consumption, and the separation of marketing margins on domestic products, exports, and imports.

Suggested Citation

  • Hausner, Ulrich, 1999. "A 1995 social accounting matrix for Zambia:," TMD discussion papers 49, International Food Policy Research Institute (IFPRI).
  • Handle: RePEc:fpr:tmddps:49
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    File URL: http://www.ifpri.org/sites/default/files/publications/tmdp49.pdf
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    References listed on IDEAS

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    1. McPherson, M.F., 1995. "The Sequencing of Economic Reforms: Lessons from Zambia," Papers 516, Harvard - Institute for International Development.
    2. Golan, Amos & Judge, George & Robinson, Sherman, 1994. "Recovering Information from Incomplete or Partial Multisectoral Economic Data," The Review of Economics and Statistics, MIT Press, vol. 76(3), pages 541-549, August.
    3. de Melo, Jaime, 1988. "SAM-based models: An introduction," Journal of Policy Modeling, Elsevier, vol. 10(3), pages 321-325.
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    Cited by:

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    2. Colby, Hunter & Diao, Xinshen & Tuan, Francis C., 2001. "China's WTO Accession: Conflicts with Domestic Agricultural Policies and Institutions," Estey Centre Journal of International Law and Trade Policy, Estey Centre for Law and Economics in International Trade, vol. 2(1), pages 1-14.
    3. Fontana, Marzia, 2003. "Modeling the effects of trade on women at work and at home: A comparative perspective," TMD discussion papers 110, International Food Policy Research Institute (IFPRI).
    4. Nielsen, Chantal Pohl & Robinson, Sherman & Thierfelder, Karen, 2000. "Genetic engineering and trade," TMD discussion papers 55, International Food Policy Research Institute (IFPRI).
    5. Blasco, Lorea Barron & Devadoss, Stephen & Stodick, Leroy, 2006. "The Doha Round Declaration on Cotton: A Catalyst for Poverty Reduction in Africa?," 2006 Annual meeting, July 23-26, Long Beach, CA 21161, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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