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Econometric Advances in Spatial Modelling and Methodology

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Cover of 'Econometric Advances in Spatial Modelling and Methodology'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: Focus on Jean Paelinck
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    Chapter 2 Recent Results in Tinbergen-Bos Systems: On Two Problems in the Analysis of Tinbergen-Bos Systems
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    Chapter 3 An Economic Definition of the City
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    Chapter 4 On the Heckscher-Ohlin Analysis and the Gains from Trade with Profit-Maximizing and Labour Managed Firms
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    Chapter 5 The Box-Cox Transformation: Computational and Interpretation Features of the Parameters
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    Chapter 6 Improving the Stein-Rule Estimator of Each Individual Regression Coefficient Using the Stein Varience Estimator
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    Chapter 7 A Spatial Version of the Chi-Square Goodness-of-fit Test and its Application to Tests for Spatial Clustering
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    Chapter 8 Some Effects of Spatial Aggregation on Multivariate Regression Parameters
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    Chapter 9 Reexamination of the Limited-Information Maximum Likelihood Estimation
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    Chapter 10 Developments in Flow-Based Location-Allocation Models
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    Chapter 11 Heuristic Concentration: Its Care and Feeding
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    Chapter 12 Spatial Modelling of Disease Dispersion Using a Local Statistic: The Case of AIDS
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    Chapter 13 Regional Disparity in the European Community 1950 – 1990
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    Chapter 14 Towards a « Spatialized » Cost of Capital Concept
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    Chapter 15 To Juliette An Epilogue for a Valued Colleague and Dear Friend
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Citations

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Title
Econometric Advances in Spatial Modelling and Methodology
Published by
Springer Science & Business Media, April 2013
DOI 10.1007/978-1-4757-2899-6
ISBNs
978-1-4757-2899-6, 978-1-4419-4788-8
Editors

Griffith, Daniel A., Amrhein, Carl G., Huriot, Jean-Marie

Mendeley readers

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 %
Student > Ph. D. Student 1 33%
Researcher 1 33%
Professor > Associate Professor 1 33%
Readers by discipline Count As %
Economics, Econometrics and Finance 2 67%
Social Sciences 1 33%