Path Based Shift-Share Analysis -Using Additional Information in Decomposing Regional Economic Changes
AbstractShift-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.
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Date of creation: Aug 2005
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- Erik Dietzenbacher & Bart Los, 1998. "Structural Decomposition Techniques: Sense and Sensitivity," Economic Systems Research, Taylor & Francis Journals, vol. 10(4), pages 307-324.
- 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.
- W. Jill Harrison & J. Mark Horridge & K.R. Pearson, 2000. "Decomposing Simulation Results with Respect to Exogenous Shocks," Computational Economics, Society for Computational Economics, vol. 15(3), pages 227-249, June.
- Erik Dietzenbacher & Bart Los, 2000. "Structural Decomposition Analyses with Dependent Determinants," Economic Systems Research, Taylor & Francis Journals, vol. 12(4), pages 497-514.
- Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers 1488, Iowa State University, Department of Economics.
- 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.
- 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.
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