{"title":"A 2007-08 Social Accounting Matrix for Pakistan","authors":"Dario Debowicz, P. Dorosh, H. Haider, S. Robinson","doi":"10.2139/SSRN.2161402","DOIUrl":null,"url":null,"abstract":"This paper presents the latest Social Accounting Matrix of Pakistan (SAM) for the year 2007–08. Our 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. We illustrate the use of the SAM 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.","PeriodicalId":18164,"journal":{"name":"Macroeconomics: National Income & Product Accounts eJournal","volume":"39 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2012-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Macroeconomics: National Income & Product Accounts eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/SSRN.2161402","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19
Abstract
This paper presents the latest Social Accounting Matrix of Pakistan (SAM) for the year 2007–08. Our 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. We illustrate the use of the SAM 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.