DO SPATIAL EFFECFS REALLY MATTER IN REGRESSION ANALYSIS?

Luc Anselin and Daniel A. Griffith

Papers in Regional Science, 1988, vol. 65, issue 1, 11-34

Abstract: ABSTRACT A substantial hotly of applied statistical and econometric analysis in regional science and geography deals with data collected for aggregate spatial units of observation. These data are typically affected by a variety of measurement problems, resulting in spatial dependence and spatial heterogeneity. However, most of the empirical work fails to take this into account. In this paper, we address the issue of the extent to which spatial effects matter in applied regression analysis. An overview of the formal methodological problems is given, and related to the literature in spatial statistics and spatial econometrics.

Date: 1988
References: Add references at CitEc
Citations: View citations in EconPapers (33)

Downloads: (external link)
https://doi.org/10.1111/j.1435-5597.1988.tb01155.x

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:bla:presci:v:65:y:1988:i:1:p:11-34

Access Statistics for this article

Papers in Regional Science is currently edited by Jouke van Dijk

More articles in Papers in Regional Science from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().