Estimation of a system of national accounts: implementation with mathematica

Tugrul Temel ()

MPRA Paper from University Library of Munich, Germany

Abstract: This study implements Mathematica to estimate a system of national accounts. The estimation methods applied are portrayed in Danilov and Magnus (2008), including the Bayesian estimation, restricted and unrestricted least-squares estimation and best linear unbiased estimation. Operationalizing these methods in the Mathematica environment is the main contribution of the current study. In light of the United Nations�e¤orts aimed to standardize across countries the compilation of national accounts, the Mathematica codes developed here should provide an important tool both for the estimation of unrealized or unavailable national accounts data and for conducting cross-country and within-country macroeconomic policy analysis.

Keywords: System of national accounts; Social Accounting Matrix; Bayesian estimation; Least-squares estimation; Best linear unbiased estimation; Linear programming (search for similar items in EconPapers)
JEL-codes: C11 C67 C87 (search for similar items in EconPapers)
Date: 2011-12-08
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:35446

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