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Book cover
  • Book
  • © 1988

Spatial Econometrics: Methods and Models

Authors:

  1. Luc Anselin

    1. Department of Geography and Economics, University of California, Santa Barbara, USA

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Part of the book series: Studies in Operational Regional Science (SORS, volume 4)

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xvi
    PDF

  2. Introduction

    1. Introduction

      • Luc Anselin
      Pages 1-3

  3. Foundations for the Econometric Analysis of Spatial Processes

    1. Front Matter

      Pages 5-5
      PDF

    2. The Scope of Spatial Econometrics

      • Luc Anselin
      Pages 7-15

  4. Estimation and Hypothesis Testing

    1. Front Matter

      Pages 55-55
      PDF

    5. Spatial Heterogeneity

      • Luc Anselin
      Pages 119-136

    6. Models in Space and Time

      • Luc Anselin
      Pages 137-168

  5. Model Validation

    1. Front Matter

      Pages 221-221
      PDF

    4. Conclusions

      • Luc Anselin
      Pages 253-254

  6. Back Matter

    Pages 255-284
    PDF
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About this book

Spatial econometrics deals with spatial dependence and spatial heterogeneity, critical aspects of the data used by regional scientists. These characteristics may cause standard econometric techniques to become inappropriate. In this book, I combine several recent research results to construct a comprehensive approach to the incorporation of spatial effects in econometrics. My primary focus is to demonstrate how these spatial effects can be considered as special cases of general frameworks in standard econometrics, and to outline how they necessitate a separate set of methods and techniques, encompassed within the field of spatial econometrics. My viewpoint differs from that taken in the discussion of spatial autocorrelation in spatial statistics - e.g., most recently by Cliff and Ord (1981) and Upton and Fingleton (1985) - in that I am mostly concerned with the relevance of spatial effects on model specification, estimation and other inference, in what I caIl a model-driven approach, as opposed to a data-driven approach in spatial statistics. I attempt to combine a rigorous econometric perspective with a comprehensive treatment of methodological issues in spatial analysis.
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Keywords

  • Stochastic Processes
  • econometrics
  • regression
  • statistics
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Reviews

`This book is a very useful and significant contribution to the spatial analysis literature ... I for one will be using it as required supplemental reading in my graduate level spatial statistics course.'

Economic Geography, 1989.
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Authors and Affiliations

  • Department of Geography and Economics, University of California, Santa Barbara, USA

    Luc Anselin

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Bibliographic Information

  • Book Title: Spatial Econometrics: Methods and Models

  • Authors: Luc Anselin

  • Series Title: Studies in Operational Regional Science

  • DOI: https://doi.org/10.1007/978-94-015-7799-1

  • Publisher: Springer Dordrecht

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media Dordrecht 1988

  • Hardcover ISBN: 978-90-247-3735-2Published: 31 August 1988

  • Softcover ISBN: 978-90-481-8311-1Published: 30 December 2011

  • eBook ISBN: 978-94-015-7799-1Published: 09 March 2013

  • Series ISSN: 0924-4689

  • Edition Number: 1

  • Number of Pages: XVI, 284

  • Topics: Econometrics, Geography, general, Methodology of the Social Sciences

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Access via your institution

Buy it now

eBook USD 349.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 449.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 449.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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