Committee login






Small thumbnail

Baidu SEO

Challenges and Intricacies of Marketing in China

Small thumbnail

Asymmetric Alliances and Information Systems

Issues and Prospects

Small thumbnail

Technicity vs Scientificity

Complementarities and Rivalries

Small thumbnail

Freshwater Fishes

250 Million Years of Evolutionary History

Small thumbnail

Biostatistics and Computer-based Analysis of Health Data using SAS

Biostatistics and Health Science Set

Small thumbnail

Predictive Control

Small thumbnail

Fundamentals of Advanced Mathematics 1

Categories, Algebraic Structures, Linear and Homological Algebra

Small thumbnail

Swelling Concrete in Dams and Hydraulic Structures

DSC 2017

Small thumbnail

The Chemostat

Mathematical Theory of Microorganims Cultures

Small thumbnail

Earthquake Occurrence

Short- and Long-term Models and their Validation

Small thumbnail

Spatial Econometrics Using Microdata

Jean Dubé, Laval University, Canada Diègo Legros, University of Burgundy, France

ISBN: 9781848214682

Publication Date: September 2014   Hardback   250 pp.

105.00 USD

Add to cart


Ebook Ebook


This book puts special emphasis on spatial data compilation and the structuring of connections between the observations. Descriptive analysis methods of spatial data are presented in order to identify and measure the global and local spatial autocorrelation. The authors then move on to incorporate this spatial component into spatial autoregressive models. These models allow us to control the problem of spatial autocorrelation among residuals of the linear statistical model, thereby contravening one of the basic hypotheses of the ordinary least squares approach.
This book can be used as a reference for those studying towards a bachelorís or masterís degree in regional science or economic geography, looking to work with geolocalized (micro) data, but without possessing advanced statistical theoretical basics. The authors also address the application of the spatial analysis methods in the context where spatial data are pooled over time (spatio-temporal data), focusing on the recent developments in the field.


1. Econometrics and Spatial Dimensions.
2. Structuring Spatial Relations.
3. Spatial Autocorrelation.
4. Spatial Econometric Models.
5. Spatio-Temporal Modeling.

About the Authors

Jean Dubé is Professor in regional development at Laval University, Canada.
Diègo Legros is a lecturer in economics and management at the University of Burgundy, France.


DownloadTable of Contents - PDF File - 51 Kb

0.01856 s.