A Taxonomy of Spatial Econometric Models for Simultaneous Equations Systems

Sergio J. Rey and Marlon G. Boarnet
Additional contact information
Sergio J. Rey: San Diego State University
Marlon G. Boarnet: University of California

Chapter 5 in Advances in Spatial Econometrics, 2004, pp 99-119 from Springer

Abstract: Abstract The spatial econometric literature has developed a large number of approaches that can handle spatial dependence and heterogeneity, yet almost all of these approaches are single equation techniques. For many regional economic problems there are both multiple endogenous variables and data on observations that interact across space. To date, researchers have often been in the undesirable position of having to choose between modeling spatial interactions in a single equation framework, or using multiple equations but losing the advantages of a spatial econometric approach. This chapter establishes a framework for applying spatial econometrics within the context of multi-equation systems. Specifically, we discuss the need for multi-equation spatial econometric models and we develop a general model that can subsume many interesting special cases. We also examine the small sample properties of common estimators for specific cases of the general model.

Keywords: Root Mean Square Error; Ordinary Little Square; Endogenous Variable; Data Generate Process; Public Capital (search for similar items in EconPapers)
Date: 2004
References: Add references at CitEc
Citations: View citations in EconPapers (39)

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:978-3-662-05617-2_5

Ordering information: This item can be ordered from
http://www.springer.com/9783662056172

DOI: 10.1007/978-3-662-05617-2_5

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 ().