Structural Decomposition Analyses with Dependent Determinants
Erik Dietzenbacher and
Economic Systems Research, 2000, vol. 12, issue 4, 497-514
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.
Keywords: Structural Decomposition; Value Added Growth; Dependent Variables (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (42) Track citations by RSS feed
Downloads: (external link)
Access to full text is restricted to subscribers.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:taf:ecsysr:v:12:y:2000:i:4:p:497-514
Ordering information: This journal article can be ordered from
Access Statistics for this article
Economic Systems Research is currently edited by Bart Los and Manfred Lenzen
More articles in Economic Systems Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().