
Tool Kits in Regional Science: Theory, Models, and Estimation 2009th Edition
Author(s): Michael Sonis (Editor), Geoffrey J. D. Hewings
- Publisher: Springer
- Publication Date: 29 Nov. 2011
- Edition: 2009th
- Language: English
- Print length: 313 pages
- ISBN-10: 3642242448
- ISBN-13: 9783642242441
Book Description
Regional Science is now more than 50 years old; in the last two decades, significant advances in methodology have occurred, spurred in large part by access to computers. The range of analytical techniques now available is enormous; this books provides a sampling of the toolkit that is now at the disposal of analysts interested in understanding and interpreting the complexity of the spatial structure of sub- national economies. The set of tools ranges from the more traditional (input-output) to new developments in computable general equilibrium models, nonlinear dynamics, neural modelling and innovation.
Editorial Reviews
Review
From the reviews:
“‘Tool Kits’ is an intriguing phrase. Many readers will pick up this book for a quick look. … describes tools at many levels of abstraction. … The long list of references is also valuable. I learned something here. … useful for some students. … It is an erudite, and interesting, essay, and I recommend it. … The book may well have something for you, and you should look it over at least briefly. … Certainly I found various parts of the book useful.” (Roger Bolton, Journal of Regional Science, Vol. 51 (5), 2011)
From the Back Cover
Regional Science is now more than 50 years old; in the last two decades, significant advances in methodology have occurred, spurred in large part by access to computers. The range of analytical techniques now available is enormous; this books provides a sampling of the toolkit that is now at the disposal of analysts interested in understanding and interpreting the complexity of the spatial structure of sub- national economies. The set of tools ranges from the more traditional (input-output) to new developments in computable general equilibrium models, nonlinear dynamics, neural modelling and innovation.
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