A comparison of impact measures from hybrid and synthetic techniques: A case study of the Foothills Model Forest

Mike N. Patriquin (), William A. White (), Janaki R. R. Alavalapati and Adam M. Wellstead ()
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Mike N. Patriquin: Canadian Forest Service, Northern Forestry Center, 5320-122 St Edmonton, Alberta T6H 3S5, Canada
William A. White: Canadian Forest Service, Northern Forestry Center, 5320-122 St Edmonton, Alberta T6H 3S5, Canada
Janaki R. R. Alavalapati: School of Forest Resources and Conservation, University of Florida, 365 Newins-Ziegler Hall, PO Box 110410, Gainesville, FL 32611-0410, USA
Adam M. Wellstead: Canadian Forest Service, Northern Forestry Center, 5320-122 St Edmonton, Alberta T6H 3S5, Canada

The Annals of Regional Science, 2002, vol. 36, issue 2, 265-278

Abstract: This article presents an applied framework for selective precision in the insertion of superior data into hybrid regional models where regional purchasing coefficients are absent or unattainable. Due to the lack of regional-level data, crude top-down methods are the most frequently applied methods in Canadian regional studies. However, they may lead to inaccurate policy analysis where significant variation exists between the technical coefficients and trade flows of two economies. This article discusses an alternative, hybrid approach that involves the collection of region-specific information and therefore promises greater accuracy and validity of impact analysis. The robustness of the hybrid model is tested against the results derived from a synthetically regionalized model. The Foothills Model Forest (FMF) in west-central Alberta is used as a case study for the development of a sub-provincial economic database for the purpose of regional impact modeling.

JEL-codes: C80 D57 Q00 R00 (search for similar items in EconPapers)
Date: 2002-08-02
Note: Received: September 1999/Accepted: September 2001
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Citations: View citations in EconPapers (2)

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