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Approaches to Modelling Overdispersion in the Analysis of Migration

Authors: P Congdon;

Approaches to Modelling Overdispersion in the Analysis of Migration

Abstract

In this paper the modelling of overdispersion in generalised Poisson and multinomial models of migration flows and rates is considered, and its importance within the wider question of substantive model specification is shown. It is argued that substantive specification and the modelling of overdispersion are closely interrelated. Simplified ways of estimating the form of overdispersion—moments methods and pseudo-likelihood—are considered wherever possible. Overdispersion is set within the broader context of correlation effects which relate to migration—correlation across different destinations, between spatially adjacent origins and destinations, and between different time periods. The data used to illustrate the modelling development are drawn from the Office of Population Censuses and Surveys Longitudinal Study, the decennial Census, and the National Health Service Central Register.

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Keywords

Europe, Wales, England, Developed Countries, Research, Population, Population Dynamics, Emigration and Immigration, Models, Theoretical, United Kingdom, Demography

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Top 10%
Average
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