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Completing Input-Output Tables using Partial Information, with an Application to Canadian Data

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  • Donald Gilchrist
  • Larry V. ST Louis

Abstract

This paper develops a three-stage extension of the standard biproportional RAS algorithm-an extension that we label TRAS-to incorporate information in addition to row and column margins. The TRAS algorithm is tested using pseudo-censored input-output tables and is shown to produce more accurate estimates than does the RAS algorithm.

Suggested Citation

  • Donald Gilchrist & Larry V. ST Louis, 1999. "Completing Input-Output Tables using Partial Information, with an Application to Canadian Data," Economic Systems Research, Taylor & Francis Journals, vol. 11(2), pages 185-194.
    • Handle: RePEc:taf:ecsysr:v:11:y:1999:i:2:p:185-194
    DOI: 10.1080/09535319900000013
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    References listed on IDEAS

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    1. Mun-Heng Toh, 1998. "The RAS Approach in Updating Input-Output Matrices: An Instrumental Variable Interpretation and Analysis of Structural Change," Economic Systems Research, Taylor & Francis Journals, vol. 10(1), pages 63-78.
    2. R C Hinojosa, 1978. "A Performance Test of the Biproportional Adjustment of Input—Output Coefficients," Environment and Planning A, , vol. 10(9), pages 1047-1052, September.
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    Cited by:

    1. Richard Wood, 2011. "Construction, Stability And Predictability Of An Input-Output Time-Series For Australia," Economic Systems Research, Taylor & Francis Journals, vol. 23(2), pages 175-211.
    2. Andre Fernandes Tomon Avelino, 2017. "Disaggregating input–output tables in time: the temporal input–output framework," Economic Systems Research, Taylor & Francis Journals, vol. 29(3), pages 313-334, July.
    3. Xinxin Xu & Sheng Ma & Ziqiang Zeng, 2019. "Complex network analysis of bilateral international investment under de-globalization: Structural properties and evolution," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-16, April.
    4. Bernadette Andreosso-O'Callaghan & Guoqiang Yue, 2000. "An Analysis of Structural Change in China using Biproportional Methods," Economic Systems Research, Taylor & Francis Journals, vol. 12(1), pages 99-111.
    5. Amos Golan & Stephen Vogel, 2000. "Estimation of Non-Stationary Social Accounting Matrix Coefficients with Supply-Side Information," Economic Systems Research, Taylor & Francis Journals, vol. 12(4), pages 447-471.
    6. M. Alejandro Cardenete & M. Carmen Delgado & Patricia D. Fuentes & M. Carmen Lima & Alfredo J. Mainar & Jose M. Rueda-Cantuche & Sébastien Mary & Fabien Santini & Sergio Gomez y Paloma, 2015. "Rural-urban social accounting matrixes for modelling the impact of rural development policies in the EU," JRC Research Reports JRC94394, Joint Research Centre.
    7. Cahen-Fourot, Louison & Campiglio, Emanuele & Godin, Antoine & Kemp-Benedict, Eric & Trsek, Stefan, 2021. "Capital stranding cascades: The impact of decarbonisation on productive asset utilisation," Energy Economics, Elsevier, vol. 103(C).
    8. Diagne, Oumar Diop & Faye, Ousmane & Faye, Salimata, 2005. "Le noyau dur de la pauvreté au Sénégal," Conference papers 331441, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    9. Juan Manuel Valderas‐Jaramillo & José Manuel Rueda‐Cantuche, 2021. "The multidimensional nD‐GRAS method: Applications for the projection of multiregional input–output frameworks and valuation matrices," Papers in Regional Science, Wiley Blackwell, vol. 100(6), pages 1599-1624, December.
    10. Jakub Boratyński, 2016. "A Bayesian Approach to Matrix Balancing: Transformation of Industry-Level Data under NACE Revision," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(4), pages 219-239, December.
    11. Umed Temursho & Manuel Alejandro Cardenete & Krzysztof Wojtowicz & Luis Rey & Matthias Weitzel & Toon Vandyck & Bert Saveyn, 2020. "Projecting input-output tables for model baselines," JRC Research Reports JRC120513, Joint Research Centre.
    12. Rod B. McNaughton & Brian Paul Cozzarin, 2014. "Inter-organizational linkages and resource dependence," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-18, December.
    13. Hiramatsu, Tomoru & Inoue, Hiroki & Kato, Yasuhiko, 2016. "Estimation of interregional input–output table using hybrid algorithm of the RAS method and real-coded genetic algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 385-402.
    14. Natalie Stoeckl, 2012. "Comparing Multipliers from Survey and Non-Survey Based IO Models," International Regional Science Review, , vol. 35(4), pages 367-388, October.
    15. Sherman Robinson & Andrea Cattaneo & Moataz El-Said, 2001. "Updating and Estimating a Social Accounting Matrix Using Cross Entropy Methods," Economic Systems Research, Taylor & Francis Journals, vol. 13(1), pages 47-64.
    16. Erik Dietzenbacher & Bart Los, 2000. "Structural Decomposition Analyses with Dependent Determinants," Economic Systems Research, Taylor & Francis Journals, vol. 12(4), pages 497-514.
    17. Reiner Wolff, 2005. "A global robustness measure for input-output projections from ESA and SNA tables," Economic Systems Research, Taylor & Francis Journals, vol. 17(1), pages 77-93.
    18. Arne Geschke & Julien Ugon & Manfred Lenzen & Keiichiro Kanemoto & Daniel Dean Moran, 2019. "Balancing and reconciling large multi-regional input–output databases using parallel optimisation and high-performance computing," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-24, December.
    19. Bos, Frits, 2009. "The National Accounts as a Tool for Analysis and Policy; History, Economic Theory and Data Compilation Issues," MPRA Paper 23582, University Library of Munich, Germany.

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    Keywords

    RAS; updating; social accounting;
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