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Structural Decomposition Analyses with Dependent Determinants


  • Erik Dietzenbacher
  • Bart Los


Structural decomposition techniques are used to break down the changes in one variable into the changes in its determinants. Typically, these determinants are assumed to be independent. Using the decomposition of value added growth as a prototype example, this paper examines the phenomenon that several of the determinants are not independent. The determinants are termed fully dependent if changes in one determinant cannot occur without corresponding changes in another determinant. In most empirical cases, full dependence exists between groups of determinants, not between separate determinants. It is indicated that dependencies may cause a bias in the results of decomposition analyses. An alternative to overcome this problem is proposed and the findings are illustrated by an empirical study for The Netherlands 1972-1986.

Suggested Citation

  • Erik Dietzenbacher & Bart Los, 2000. "Structural Decomposition Analyses with Dependent Determinants," Economic Systems Research, Taylor & Francis Journals, vol. 12(4), pages 497-514.
  • Handle: RePEc:taf:ecsysr:v:12:y:2000:i:4:p:497-514
    DOI: 10.1080/09535310020003793

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    References listed on IDEAS

    1. Jan A van der Linden & Erik Dietzenbacher, 2000. "The Determinants of Structural Change in the European Union: A New Application of RAS," Environment and Planning A, , vol. 32(12), pages 2205-2229, December.
    2. 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.
    3. Erik Dietzenbacher & Bart Los, 1998. "Structural Decomposition Techniques: Sense and Sensitivity," Economic Systems Research, Taylor & Francis Journals, vol. 10(4), pages 307-324.
    4. Mette Wier, 1998. "Sources of Changes in Emissions from Energy: A Structural Decomposition Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 10(2), pages 99-112.
    5. Francis Cronin & Mark Gold, 1998. "Analytical Problems in Decomposing the System-wide Effects of Sectoral Technical Change," Economic Systems Research, Taylor & Francis Journals, vol. 10(4), pages 325-336.
    6. B. Cabrer & D. Contreras & A. Sancho, 1998. "Prices Revisited: Their Effects on Industrial Structure," Economic Systems Research, Taylor & Francis Journals, vol. 10(1), pages 31-44.
    7. Wolff, Edward N, 1985. "Industrial Composition, Interindustry Effects, and the U.S. Productivity Slowdown," The Review of Economics and Statistics, MIT Press, vol. 67(2), pages 268-277, May.
    8. S M Macgill, 1977. "Theoretical Properties of Biproportional Matrix Adjustments," Environment and Planning A, , vol. 9(6), pages 687-701, June.
    9. 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.
    10. Ali Reza Jalili, 2000. "Comparison of Two Methods of Identifying Input-Output Coefficients for Exogenous Estimation," Economic Systems Research, Taylor & Francis Journals, vol. 12(1), pages 113-129.
    11. Rolando Alcala & Gabrielle Antille & Emilio Fontela, 1999. "Technical Change in the Private Consumption Converter," Economic Systems Research, Taylor & Francis Journals, vol. 11(4), pages 389-400.
    12. Wolff, Edward N., 1994. "Productivity measurement within an input-output framework," Regional Science and Urban Economics, Elsevier, vol. 24(1), pages 75-92, February.
    13. Henrik Jacobsen, 2000. "Energy Demand, Structural Change and Trade: A Decomposition Analysis of the Danish Manufacturing Industry," Economic Systems Research, Taylor & Francis Journals, vol. 12(3), pages 319-343.
    14. repec:dgr:rugsom:95d36 is not listed on IDEAS
    15. 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.
    16. Dietzenbacher, Erik & Hoen, Alex R, 1998. "Deflation of Input-Output Tables from the User's Point of View: A Heuristic Approach," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 44(1), pages 111-122, March.
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