TY - JOUR
T1 - The estimation of age and sex profiles for international migration amongst countries in the Asia-Pacific region
AU - Shen, Tianyu
AU - Raymer, James
AU - Guan, Qing
AU - Wiśniowski, Arkadiusz
N1 - Publisher Copyright:
© 2023 The Authors. Population, Space and Place published by John Wiley & Sons Ltd.
PY - 2024/1
Y1 - 2024/1
N2 - Information on the age and sex patterns of international migration occurring amongst countries in the Asia-Pacific region is important for researchers and policymakers to understand the contributions of migration towards demographic, economic and social changes. However, despite its importance, statistics on the age and sex patterns are largely absent and, where they do exist, there are considerable differences in measurement and data collection procedures. In this study, we develop a methodology for indirectly estimating the age and sex patterns of international migration for 53 populations in the Asia-Pacific region and four macroworld regions. Multiplicative component models are used to systematically combine information from multiple data sources and infer missing data, resulting in complete and harmonised tables of migration by origin, destination, age, and sex from 2000 to 2019. The estimates are presented and assessed with some discussions on how they may be applied and further improved.
AB - Information on the age and sex patterns of international migration occurring amongst countries in the Asia-Pacific region is important for researchers and policymakers to understand the contributions of migration towards demographic, economic and social changes. However, despite its importance, statistics on the age and sex patterns are largely absent and, where they do exist, there are considerable differences in measurement and data collection procedures. In this study, we develop a methodology for indirectly estimating the age and sex patterns of international migration for 53 populations in the Asia-Pacific region and four macroworld regions. Multiplicative component models are used to systematically combine information from multiple data sources and infer missing data, resulting in complete and harmonised tables of migration by origin, destination, age, and sex from 2000 to 2019. The estimates are presented and assessed with some discussions on how they may be applied and further improved.
KW - Asia-Pacific
KW - age patterns
KW - data integration
KW - international migration
KW - multiplicative component model
KW - International migration
KW - Data integration
KW - Multiplicative component model
KW - Age patterns
UR - http://www.scopus.com/inward/record.url?scp=85173528672&partnerID=8YFLogxK
U2 - 10.1002/psp.2716
DO - 10.1002/psp.2716
M3 - Article
SN - 1544-8444
VL - 30
JO - Population, Space and Place
JF - Population, Space and Place
IS - 1
M1 - e2716
ER -