Advanced Search
MyIDEAS: Login to save this paper or follow this series

Path Based Shift-Share Analysis -Using Additional Information in Decomposing Regional Economic Changes

Contents:

Author Info

  • Esteban Fernández

    ()

  • Bart Los
  • Carmen Carvajal

    ()

Abstract

Shift-Share analysis is a well-known methodology frequently used to obtain insights into the determinants of regional growth processes. It can address many issues, such as output growth, employment growth and productivity growth. After the initial equation proposed by Dunn (1960), several extensions have been suggested in order to overcome some conceptual problems. One of the most important undesirable properties that have been mentioned is the so-called “non-uniqueness” of the results. That is, numerous decomposition forms are equivalent to the classical shift-share equation from a theoretical point of view, but the results often depend strongly on the choice of a specific one. In this paper, we propose a methodology based on maximum entropy econometrics to incorporate additional information to select the unique shift-share formula that fits this information best. We illustrate the method empirically by investigating the sources of change of employment growth in Spanish regions, 1986-2000.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www-sre.wu-wien.ac.at/ersa/ersaconfs/ersa05/papers/465.pdf
Download Restriction: no

Bibliographic Info

Paper provided by European Regional Science Association in its series ERSA conference papers with number ersa05p465.

as in new window
Length:
Date of creation: Aug 2005
Date of revision:
Handle: RePEc:wiw:wiwrsa:ersa05p465

Contact details of provider:
Postal: Welthandelsplatz 1, 1020 Vienna, Austria
Web page: http://www.ersa.org

Related research

Keywords:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Golan, Amos & Judge, George & Robinson, Sherman, 1994. "Recovering Information from Incomplete or Partial Multisectoral Economic Data," The Review of Economics and Statistics, MIT Press, vol. 76(3), pages 541-49, August.
  2. Rutger Hoekstra & Jeroen van den Bergh, 2002. "Structural Decomposition Analysis of Physical Flows in the Economy," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 23(3), pages 357-378, November.
  3. Erik Dietzenbacher & Bart Los, 2000. "Structural Decomposition Analyses with Dependent Determinants," Economic Systems Research, Taylor & Francis Journals, vol. 12(4), pages 497-514.
  4. W. Jill Harrison & J. Mark Horridge & K.R. Pearson, 1999. "Decomposing Simulation Results with Respect to Exogenous Shocks," Centre of Policy Studies/IMPACT Centre Working Papers ip-73, Victoria University, Centre of Policy Studies/IMPACT Centre.
  5. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers 1488, Iowa State University, Department of Economics.
  6. Erik Dietzenbacher & Bart Los, 1998. "Structural Decomposition Techniques: Sense and Sensitivity," Economic Systems Research, Taylor & Francis Journals, vol. 10(4), pages 307-324.
Full references (including those not matched with items on IDEAS)

Citations

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:wiw:wiwrsa:ersa05p465. 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: (Gunther Maier).

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 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.