Abstract
In this chapter I will briefly review some fundamental methodological problems associated with estimation and testing in spatial process models. The attention paid to these issues in the spatial literature varies. Some problems, such as those resulting from pre-testing, have essentially been ignored. Others, such as the boundary value issue, have resulted in a considerable body of literature, but have not yet been resolved in a satisfactory manner. In general, the issues discussed in this chapter can be considered to form important directions for future research, crucial to an effective operational implementation of spatial econometric techniques.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Notes on Chapter 11
Typically, these comparisons are based on Monte Carlo simulations, e.g., in King and Giles (1984), Griffiths and Beesley (1984) and Giles and Beattie (1987).
For a detailed discussion, see in particular Judge and Bock (1978) and Judge and Yancey (1986).
Although, as Martin (1987) has noted, the underlying general spatial process framework within which the edge effects are analyzed is not always made explicit.
This is somewhat similar to the approach in time series analysis, where the first observation in a first order autoregressive process is dropped, but taken into account as the lagged dependent variable for the second observation.
Based on the simulation experiments, Griffith suggested that an approach based on the generalized least squares framework would be most promising. For a more detailed discussion, see Griffith (1983, 1985, 1988a) and also Martin (1987).
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1988 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Anselin, L. (1988). Problem Areas in Estimation and Testing for Spatial Process Models. In: Spatial Econometrics: Methods and Models. Studies in Operational Regional Science, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-7799-1_11
Download citation
DOI: https://doi.org/10.1007/978-94-015-7799-1_11
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-8311-1
Online ISBN: 978-94-015-7799-1
eBook Packages: Springer Book Archive