Data Problems in Spatial Econometric Modeling

Robert P. Haining
Additional contact information
Robert P. Haining: The University of Sheffield

Chapter 7 in New Directions in Spatial Econometrics, 1995, pp 156-171 from Springer

Abstract: Abstract Spatial econometrics is a field of study concerned with the development of methods and techniques of data analysis that are appropriate for fitting models arising in regional science [Anselin (1988, p. 10)]. Regional science models relate to events occurring in geographic space and a particular focus of spatial econometrics is to develop methods and techniques that recognize the special problems that arise when fitting models to spatial cross sectional data.

Keywords: Ordinary Little Square; Data Problem; Areal System; Spatial Data Analysis; Spatial Econometric (search for similar items in EconPapers)
Date: 1995
References: Add references at CitEc
Citations: View citations in EconPapers (6)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:adspcp:978-3-642-79877-1_7

Ordering information: This item can be ordered from
http://www.springer.com/9783642798771

DOI: 10.1007/978-3-642-79877-1_7

Access Statistics for this chapter

More chapters in Advances in Spatial Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().