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Ras‐Ing The Transactions Or The Coefficients: It Makes No Difference

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  • Erik Dietzenbacher
  • Ronald E. Miller

Abstract

ABSTRACT The biproportional RAS technique has become one of the most important tools to update, regionalize, or balance input–output tables. In this note, we rigorously prove that the estimation of the intermediate transactions matrix yields the same results as the estimation of the input coefficients matrix or the output coefficients matrix. We also show that this does not hold for any of the other updating procedures that have been commonly proposed as an alternative to RAS.

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  • Erik Dietzenbacher & Ronald E. Miller, 2009. "Ras‐Ing The Transactions Or The Coefficients: It Makes No Difference," Journal of Regional Science, Wiley Blackwell, vol. 49(3), pages 555-566, August.
    • Handle: RePEc:bla:jregsc:v:49:y:2009:i:3:p:555-566
    DOI: 10.1111/j.1467-9787.2008.00598.x
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    References listed on IDEAS

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    1. Randall Jackson & Alan Murray, 2004. "Alternative Input-Output Matrix Updating Formulations," Economic Systems Research, Taylor & Francis Journals, vol. 16(2), pages 135-148.
    2. Michael Lahr & Louis de Mesnard, 2004. "Biproportional Techniques in Input-Output Analysis: Table Updating and Structural Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 16(2), pages 115-134.
    3. G J D Hewings & B N Janson, 1980. "Exchanging Regional Input—Output Coefficients: A Reply and Further Comments," Environment and Planning A, , vol. 12(7), pages 843-854, July.
    4. Geoffrey J.D. Hewings, 1985. "Regional Input-Output Analysis," Book Chapters, in: Grant I. Thrall (ed.),Scientific Geography Series, pages 52, Regional Research Institute, West Virginia University.
    5. Jan Oosterhaven, 2005. "GRAS versus minimizing absolute and squared differences: a comment," Economic Systems Research, Taylor & Francis Journals, vol. 17(3), pages 327-331.
    6. Geoffrey J.D. Hewings, 1985. "Regional Input-Output Analysis," Wholbk, Regional Research Institute, West Virginia University, number 11 edited by Grant I. Thrall, November-.
    7. Yasuhide Okuyama & Geoffrey J.D. Hewings & Michael Sonis & Philip R. Israilevich, 2002. "An Economic Analysis of Biproportional Properties in an Input‐Output System," Journal of Regional Science, Wiley Blackwell, vol. 42(2), pages 361-387, May.
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    3. Gunnar Lindberg, 2011. "On the appropriate use of (input-output) coefficients to generate non-survey regional input-output tables: Implications for the determination of output multipliers," ERSA conference papers ersa10p800, European Regional Science Association.
    4. 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 (Seville site).
    5. Escaith, Hubert, 2019. "Extraction-cum-substitution: A KISS approach to mapping the impacts of bilateral trade conflicts," MPRA Paper 95162, University Library of Munich, Germany.
    6. Natalie Stoeckl, 2012. "Comparing Multipliers from Survey and Non-Survey Based IO Models," International Regional Science Review, , vol. 35(4), pages 367-388, October.
    7. Kox, Henk L.M., 2022. "A micro-macro model of foreign direct investment: Knowledge-based gravity forces, self-selection and third-country effects," EconStor Preprints 266494, ZBW - Leibniz Information Centre for Economics.
    8. Anthony T Flegg & Yongming Huang & Timo Tohmo, 2013. "Cross-hauling and regional input-output tables: the case of the province of Hubei, China," Working Papers 20131310, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    9. Chen, Quanrun & Dietzenbacher, Erik & Los, Bart & Yang, Cuihong, 2016. "Modeling the short-run effect of fiscal stimuli on GDP: A new semi-closed input–output model," Economic Modelling, Elsevier, vol. 58(C), pages 52-63.
    10. Wang, P.P. & Li, Y.P. & Huang, G.H. & Wang, S.G., 2022. "A multivariate statistical input–output model for analyzing water-carbon nexus system from multiple perspectives - Jing-Jin-Ji region," Applied Energy, Elsevier, vol. 310(C).
    11. Fujimori, Shinichiro & Matsuoka, Yuzuru, 2011. "Development of method for estimation of world industrial energy consumption and its application," Energy Economics, Elsevier, vol. 33(3), pages 461-473, May.
    12. Sunggoan Choi, 2013. "Revealing the Growth Potentials with Input-Output Model at Sub-national Level," ERSA conference papers ersa13p73, European Regional Science Association.

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