Log-Linear Modelling and Spatial Analysis
E Aufhauser and
Environment and Planning A, 1985, vol. 17, issue 7, 931-951
In the past decade the social sciences have seen an upsurge of interest in analysing multidimensional contingency tables using log-linear models. Two broad families of log-linear models may be distinguished: the family of conventional models and the family of unconventional models (that is, quasi-log-linear and hybrid models). In this paper a brief review of such models is presented and some linkage to the class of generalised linear models suggested by Nelder and Wedderburn is provided. The great potential of log-linear models for spatial analysis is illustrated in applying conventional and unconventional models in a migration context to identify intertemporal stability of migration patterns. The problem that the effective units migrating are households rather than individuals is coped with by postulating a compound Poisson sampling scheme.
References: Add references at CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
Journal Article: Log-linear modelling and spatial analysis (1985)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:sae:envira:v:17:y:1985:i:7:p:931-951
Access Statistics for this article
More articles in Environment and Planning A
Bibliographic data for series maintained by SAGE Publications ().