By Andrei Rogers
This e-book indicates the effectiveness of multiregional demography for learning the spatial dynamics of migration and inhabitants redistribution. It examines vital questions in demographic research and exhibits how the strategies of multiregional research can result in solutions that usually contradict traditional knowledge.
The e-book reconsiders conclusions reached within the literature relating to numerous basic good judgment demographic questions in migration and inhabitants redistribution, together with: Is it commonly migration or “aging-in-place” that has been riding Florida’s aged inhabitants development? Do the aged go back “home” after retirement greater than the non-elderly do? Does longer existence bring about longer ill-health? Do easy inhabitants projection types outperform advanced ones?
For each one demographic query it reconsiders, the publication starts off with an easy empirical numerical instance and with it illustrates how a uniregional specification can bias findings to desire a selected, and probably improper, end. It then is going directly to express how a multiregional research can larger remove darkness from the dynamics that underlie the saw inhabitants totals and result in a extra educated end.
Offering insights into the effectiveness of multiregional demography, this e-book serves as a worthy source for college kids and researchers looking for a greater option to solution questions in demographic research and inhabitants dynamics.
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Extra resources for Applied Multiregional Demography: Migration and Population Redistribution
Then the biregional projections give 1 3 Pu (1) = 30 = ( )24 + ( )24 4 2 and 1 Pv (1) = 30 = ( )24 + (1)24 4 2 Does Model Specification Matter? 18 Similarly Pu (2) = 37 3 1 1 = ( )30 + ( )30 2 4 2 Pv (2) = 37 1 1 = ( )30 + (1)30 2 4 and The relevant net migration rates now are mu = sponding uniregional projection becomes 1 4 and mv = − 14, and the corre- 5 Pu (1) = 30 = ( )24 4 and 5 Pv (1) = 30 = ( )24 4 Similarly, Pu (2) = 37 5 1 = ( )30 2 4 Pv (2) = 37 5 1 = ( )30 2 4 and Because the initial population has a stable initial distribution, perfect decomposition results.
They can lead to misspecified explanatory models, and they make it virtually impossible to consider properly the impacts of important violations of the basic assumptions underlying many spatial demographic studies: homogeneity, stationarity, and temporal independence. Gross migration stream (multiregional) models, on the other hand, more realistically depict the phenomenon being modeled (since there are no net migrants). The rates they use to represent directional movements are linked to the populations at risk of moving and therefore measure true propensities of migrating (a feature that net migration rates lack).
Several explanations have been put forward in the literature. For example, it has been argued that regional populations growing as a consequence of large flows of inmigrants tend to become more migration prone and therefore more likely to lose their members to other regions. Others have argued that a region’s attractive (economic) opportunities have a much smaller impact on its residents than on the residents of other regions. Still others have argued that a region’s attractions may draw inmigrants at the same time that they repel some of its residents.
Applied Multiregional Demography: Migration and Population Redistribution by Andrei Rogers