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Biproportional Techniques in Input-Output Analysis: Table Updating and Structural Analysis

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Author Info

  • Michael Lahr

    (Rutgers University, Center for Urban Policy Research)

  • Louis de Mesnard

    (University of Burgundy, Faculty of Economics & Regional Economics Application Laboratory, University of Illinois at Urbana-Champaign)

Abstract

This paper is dedicated to the contributions of Sir Richard Stone, Michael Bacharach, and Philip Israilevich. It starts out with a brief history of biproportional techniques and related matrix balancing algorithms. We then discuss the RAS algorithm developed by Sir Richard Stone and others. We follow that by evaluating the interpretability of the product of the adjustment parameters, generally known as R and S. We then move on to discuss the various formal formulations of other biproportional approaches and discuss what defines an algorithm as “biproportionalâ€. After mentioning a number of competing optimization algorithms that cannot fall under the rubric of being biproportional, we reflect upon how some of their features have been included into the biproportional setting (the ability to fix the value of interior cells of the matrix being adjusted and of incorporating data reliability into the algorithm). We wind up the paper by pointing out some areas that could use further investigation.

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Bibliographic Info

Paper provided by EconWPA in its series GE, Growth, Math methods with number 0403006.

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Length: 36 pages
Date of creation: 25 Mar 2004
Date of revision:
Handle: RePEc:wpa:wuwpge:0403006

Note: Type of Document - pdf; pages: 36
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Web page: http://128.118.178.162

Related research

Keywords: Input-Output Economics; RAS; data raking; iterative proportional fitting; estimating missing data;

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References

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  1. A. Bachem & B. Korte, 1981. "Estimating matrices," Metrika, Springer, vol. 28(1), pages 273-286, December.
  2. 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.
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Citations

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Cited by:
  1. Nuno Silva, 2010. "Inter-Sector Relations in the Portuguese Economy: an Application of Contingent," Economic Bulletin and Financial Stability Report Articles, Banco de Portugal, Economics and Research Department.
  2. Dobrescu, Emilian, 2012. "Restatement of the I-O Coefficient Stability Problem," MPRA Paper 48567, University Library of Munich, Germany.
  3. Buda, Rodolphe, 2011. "Séries longues d'emploi salarié régional sectoriel français 1967–2006
    [French sectoral and regional salaried employment long run time series 1967-2006]
    ," MPRA Paper 34888, University Library of Munich, Germany.
  4. Alarcón, Jorge & Ernst, Christoph & Khondker, Bazlul & Sharma, PD, 2011. "Dynamic social accounting matrix (DySAM) : concept, methodology and simulation outcomes: the case of Indonesia and Mozambique," ILO Working Papers 464252, International Labour Organization.
  5. Rodolphe Buda, 2013. "SIMUL 3.2: An Econometric Tool for Multidimensional Modelling," Computational Economics, Society for Computational Economics, vol. 41(4), pages 517-524, April.
  6. Satoshi Nakano & Kazuhiko Nishimura, 2013. "A nonsurvey multiregional input–output estimation allowing cross-hauling: partitioning two regions into three or more parts," The Annals of Regional Science, Springer, vol. 50(3), pages 935-951, June.
  7. Buda, Rodolphe, 2011. "Estimation de l'emploi sectoriel par zone d'emploi du 31.12.1989 au 31.12.2010 – Compléments à la série 1998–2007 de l'INSEE
    [Estimation of the Sectoral Employment by Employment Areas from t
    ," MPRA Paper 36523, University Library of Munich, Germany.
  8. Miguel Angel Tarancon & Pablo Del Rio, 2005. "Projection of input-output tables by means of mathematical programming based on the hypothesis of stable structural evolution," Economic Systems Research, Taylor & Francis Journals, vol. 17(1), pages 1-23.
  9. Kristinn Hermannsson, 2013. "Beyond Intermediates: The Role of Consumption and Commuting in the Construction of Local Input-Output Tables," Working Papers 1305, University of Strathclyde Business School, Department of Economics.
  10. Choi, Jun-Ki & Bakshi, Bhavik R. & Haab, Timothy, 2010. "Effects of a carbon price in the U.S. on economic sectors, resource use, and emissions: An input-output approach," Energy Policy, Elsevier, vol. 38(7), pages 3527-3536, July.
  11. Dobrescu, Emilian, 2013. "Restatement of the I-O Coefficient Stability Problem," Working Papers of Macroeconomic Modelling Seminar 132601, Institute for Economic Forecasting.
  12. Rodrigues, João F.D. & Rueda-Cantuche, José M., 2013. "A two-stage econometric method for the estimation of carbon multipliers with rectangular supply and use tables," Ecological Economics, Elsevier, vol. 95(C), pages 206-212.
  13. McDonald, Scott & Punt, Cecilia, 2005. "General equilibrium modelling in South Africa: What the future holds," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 44(1), March.
  14. Pieters, Janneke, 2010. "Growth and Inequality in India: Analysis of an Extended Social Accounting Matrix," World Development, Elsevier, vol. 38(3), pages 270-281, March.

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