A 2007-2008 Social Accounting Matrix for Pakistan

dc.creatorDebowicz, Dario
dc.creatorDorosh, Paul A.
dc.creatorRobinson, Sherman
dc.creatorHaider, Syed Hamza
dc.date2012
dc.date2024-06-04T09:44:06Z
dc.date2024-06-04T09:44:06Z
dc.date.accessioned2026-06-27T15:09:51Z
dc.descriptionThis Social Accounting Matrix (SAM) was built for the year 2007–2008 for Pakistan. The proposed approach to estimating SAMs is motivated by an information theoretic approach to estimation (Judge & Mittelhammer, 2012) that takes a Bayesian perspective on the efficient use of information: “Use all the information you have, but do not assume any information you do not have." The methodology used to develop this SAM ensures that it is perfectly consistent with the National Accounts. The SAM includes 51 sectors of activity, 27 factors of production, and 18 household groups, allowing tracing direct and indirect effects of potential scenarios through production and consumption linkages and capture distributional effects. The use of this SAM is illustrated using a semi input-output multiplier model. Output multipliers in Pakistan, accounting for supply constraints, range between 1.1 and 1.4, and shocks to livestock and industry have the largest spillover effects.
dc.identifierhttps://hdl.handle.net/10568/144335
dc.identifier.urihttp://hdl.handle.net/123456789/96420
dc.languageen
dc.publisherInternational Food Policy Research Institute
dc.relationhttps://hdl.handle.net/10568/154011
dc.rightsOpen Access
dc.sourceDebowicz, Dario; Dorosh, Paul A.; Robinson, Sherman; Haider, Syed Hamza. 2012. A 2007-2008 Social Accounting Matrix for Pakistan. Washington, DC: International Food Policy Research Institute. http://hdl.handle.net/1902.1/19361. Harvard Dataverse. Version 1.
dc.subjectproduction
dc.subjectnational accounting
dc.subjectconsumption
dc.subjectindustry
dc.subjecthouseholds
dc.subjectcomputable general equilibrium models
dc.subjectsocial accounting matrix
dc.subjectlivestock
dc.titleA 2007-2008 Social Accounting Matrix for Pakistan
dc.typeDataset

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