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Two Dimensional Aggregation Procedure: An Alternative to the Matrix Algebraic Algorithm

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  • Rodolphe Buda

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  • Rodolphe Buda, 2008. "Two Dimensional Aggregation Procedure: An Alternative to the Matrix Algebraic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 31(4), pages 397-408, May.
    • Handle: RePEc:kap:compec:v:31:y:2008:i:4:p:397-408
    DOI: 10.1007/s10614-008-9123-9
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    References listed on IDEAS

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    1. Matteo Richiardi & Roberto Leombruni & Nicole J. Saam & Michele Sonnessa, 2006. "A Common Protocol for Agent-Based Social Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(1), pages 1-15.
    2. Michael Binder, 2001. "Cross-Sectional Aggregation of Nonlinear Dynamic Models and Aggregate Consumption Dynamics," Computing in Economics and Finance 2001 37, Society for Computational Economics.
    3. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers Archive 10368, Iowa State University, Department of Economics.
    4. Michael L. Lahr & Benjamin H. Stevens, 2002. "A Study of the Role of Regionalization in the Generation of Aggregation Error in Regional Input –Output Models," Journal of Regional Science, Wiley Blackwell, vol. 42(3), pages 477-507, August.
    5. van Garderen, Kees Jan & Lee, Kevin & Pesaran, M. Hashem, 2000. "Cross-sectional aggregation of non-linear models," Journal of Econometrics, Elsevier, vol. 95(2), pages 285-331, April.
    6. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, University Library of Munich, Germany, revised 15 Aug 2002.
    7. Tzu-Tsung Wong, 2007. "Perfect aggregation of Bayesian analysis on compositional data," Statistical Papers, Springer, vol. 48(2), pages 265-282, April.
    8. Eric R Young, 2005. "Approximate Aggregation," Computing in Economics and Finance 2005 141, Society for Computational Economics.
    9. Buda, Rodolphe, 2001. "Les algorithmes de la modélisation : une analyse critique pour la modélisation économique," MPRA Paper 3926, University Library of Munich, Germany, revised Jul 2004.
    10. Buchholz, Peter, 1999. "An adaptive aggregation/disaggregation algorithm for hierarchical Markovian models," European Journal of Operational Research, Elsevier, vol. 116(3), pages 545-564, August.
    11. Stephan von Cramon-Taubadel & Jens-Peter Loy & Jochen Meyer, 2006. "The impact of cross-sectional data aggregation on the measurement of vertical price transmission: An experiment with German food prices," Agribusiness, John Wiley & Sons, Ltd., vol. 22(4), pages 505-522.
    12. Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2.
    13. Gibbons, Joel C. & Wolsky, Alan M. & Tolley, George, 1982. "Approximate aggregation and error in input-output models," Resources and Energy, Elsevier, vol. 4(3), pages 203-230, September.
    14. Buda, Rodolphe, 2005. "Numerical Analysis in Econom(etr)ic Softwares: the Data-Memory Shortage Management," MPRA Paper 9145, University Library of Munich, Germany, revised 2007.
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    Cited by:

    1. Rodolphe Buda, 2013. "SIMUL 3.2: An Econometric Tool for Multidimensional Modelling," Computational Economics, Springer;Society for Computational Economics, vol. 41(4), pages 517-524, April.
    2. Buda, Rodolphe, 2008. "Contrôle des systèmes de modélisation : un exemple de codage et de traçabilité des données [Modelling System Checking : An Example of Data Encoding and Traceability]," MPRA Paper 47209, University Library of Munich, Germany.
    3. Rodolphe Buda, 2015. "Data Checking and Econometric Software Development: A Technique of Traceability by Fictive Data Encoding," Computational Economics, Springer;Society for Computational Economics, vol. 46(2), pages 325-357, August.

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    More about this item

    Keywords

    Matrix algebra; Aggregation algorithms; Modelling software; C82; C87; C88;
    All these keywords.

    JEL classification:

    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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