IDEAS home Printed from
   My bibliography  Save this article

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

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    1. Linden, Jan A. van der & Dietzenbacher, Erik, 1995. "The determinants of structural change in the European Union : a new application of RAS," Research Report 95D36, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    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. 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.
    10. S M Macgill, 1977. "Theoretical properties of biproportional matrix adjustments," Environment and Planning A, Pion Ltd, London, vol. 9(6), pages 687-701, June.
    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.
    Full references (including those not matched with items on IDEAS)


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:ecsysr:v:12:y:2000:i:4:p:497-514. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Longhurst). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.