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Regional Research Frontiers - Vol. 2

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Cover of 'Regional Research Frontiers - Vol. 2'

Table of Contents

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    Book Overview
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    Chapter 1 Dynamic Econometric Input-Output Modeling: New Perspectives
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    Chapter 2 Unraveling the Household Heterogeneity in Regional Economic Models: Some Important Challenges
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    Chapter 3 Geographical Macro and Regional Impact Modeling
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    Chapter 4 Computable General Equilibrium Modelling in Regional Science
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    Chapter 5 Measuring the Impact of Infrastructure Systems Using Computable General Equilibrium Models
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    Chapter 6 Potentials and Prospects for Micro–Macro Modelling in Regional Science
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    Chapter 7 On Deriving Reduced-Form Spatial Econometric Models from Theory and Their Ws from Observed Flows: Example Based on the Regional Knowledge Production Function
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    Chapter 8 At the Frontier Between Local and Global Interactions in Regional Sciences
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    Chapter 9 Hierarchical Spatial Econometric Models in Regional Science
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    Chapter 10 GIS in Regional Research
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    Chapter 11 Exploratory Spatial Data Analysis: Tight Coupling Data and Space, Spatial Data Mining, and Hypothesis Generation
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    Chapter 12 Location Analysis: Developments on the Horizon
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    Chapter 13 Structural Decomposition and Shift-Share Analyses: Let the Parallels Converge
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    Chapter 14 A Synthesis of Spatial Models for Multivariate Count Responses
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    Chapter 15 Modeling of Infectious Diseases: A Core Research Topic for the Next Hundred Years
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    Chapter 16 Object Orientation, Open Regional Science, and Cumulative Knowledge Building
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    Chapter 17 Looking at John Snow’s Cholera Map from the Twenty First Century: A Practical Primer on Reproducibility and Open Science
Attention for Chapter 6: Potentials and Prospects for Micro–Macro Modelling in Regional Science
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Chapter title
Potentials and Prospects for Micro–Macro Modelling in Regional Science
Chapter number 6
Book title
Regional Research Frontiers - Vol. 2
Published by
Springer International Publishing, April 2017
DOI 10.1007/978-3-319-50590-9_6
Book ISBNs
978-3-31-950589-3, 978-3-31-950590-9

Eveline van Leeuwen, Graham Clarke, Kristinn Hermannsson, Kim Swales


Randall Jackson, Peter Schaeffer

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Professor > Associate Professor 1 33%
Student > Master 1 33%
Readers by discipline Count As %
Business, Management and Accounting 1 33%
Agricultural and Biological Sciences 1 33%
Economics, Econometrics and Finance 1 33%