A multi-equation spatial econometric model, with application to EU manufacturing productivity growth

B. Fingleton

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This Handbook summarizes, explains, and demonstrates the nature of current models, methods, and techniques for the analysis of spatial data. The book is designed to be a desk reference for all researchers just getting into the field of spatial data analysis as well as for seasoned spatial analysts. The volume features contributions from the very best scholars in the field. Their explanations are able to communicate the fundamental ideas of their subject area succinctly and accessibly. The Handbook begins by exploring the available software for spatial analysis and then describes briefly but clearly the many techniques embodied in the fields of exploratory spatial data analysis, spatial statistics, geostatistics, and spatial econometrics. In addition, attention is given to the methods used for the analysis of remotely sensed data. Finally, a number of example sections are included that demonstrate the application of spatial analysis in the economic, environmental, and health sciences.
Original languageEnglish
Title of host publicationHandbook of applied spatial analysis
Subtitle of host publicationsoftware tools, methods and applications
EditorsManfred M Fischer, Arthur Getis
PublisherSpringer
Pages629-647
Number of pages18
Edition1st
ISBN (Print)9783642036460
Publication statusPublished - 16 Dec 2009

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Keywords

  • spatial data
  • spatial statistics
  • spatial econometrics
  • geostatistics
  • health sciences
  • economics
  • environmental science

Cite this

Fingleton, B. (2009). A multi-equation spatial econometric model, with application to EU manufacturing productivity growth. In M. M. Fischer, & A. Getis (Eds.), Handbook of applied spatial analysis: software tools, methods and applications (1st ed., pp. 629-647). Springer.