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Estimation of a system of national accounts: implementation with mathematica

Author

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  • Temel, Tugrul

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.

Suggested Citation

  • Temel, Tugrul, 2011. "Estimation of a system of national accounts: implementation with mathematica," MPRA Paper 35446, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:35446
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    File URL: https://mpra.ub.uni-muenchen.de/35446/1/MPRA_paper_35446.pdf
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    References listed on IDEAS

    as
    1. Magnus, Jan R & van Tongeren, Jan W & de Vos, Aart F, 2000. "National Accounts Estimation Using Indicator Ratios," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 46(3), pages 329-350, September.
    2. Danilov, Dmitry & Magnus, Jan R., 2008. "On the estimation of a large sparse Bayesian system: The Snaer program," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4203-4224, May.
    3. Dmitry Danilov & Jan R. Magnus, 2007. "Some equivalences in linear estimation (in Russian)," Quantile, Quantile, issue 3, pages 83-90, September.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    System of national accounts; Social Accounting Matrix; Bayesian estimation; Least-squares estimation; Best linear unbiased estimation; Linear programming;

    JEL classification:

    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General

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