Reconciliation of Australian demographic data to study immigrant population change across space and time
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Authors
Raymer, James
Bai, Xujing
Liu, Nan
Wilson, Tom
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Springer International Publishing
Abstract
The study of immigrant population change is hindered by data sources that capture
international migration fows separately from other demographic process and population stock data. In this paper, we illustrate this by gathering detailed demographic
data and estimates for the Australia-born population and 18 immigrant populations in Australia, according to their country or region of birth. We then develop
a methodology for reconciling diferences in these data sets to study the sources of
quinquennial immigrant population change from 1981 to 2016 by age, sex, and geographic area. Reconciliation refers to the process of ensuring consistency between
the demographic components of change (i.e., births, deaths and migration) and total
population change. We validate the methodology by how well it predicts the population 5 years later by age and sex using a multiregional cohort-component prediction
model. Once the data are reconciled for every 5-year period from 1981 to 2016, we
then see how well the reconciled data reproduces the 2016 population data using
the 1981 population as a starting point. This research is useful for improving our
understanding of the mechanisms and subsequent spatial contributions of immigration to population change over time. We demonstrate such value by examining the
reconciled sources of regional population change for populations born in Australia,
the United Kingdom and China over time.
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Spatial Demography
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Restricted until
2037-12-31
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