Modelling the age and sex profiles of net international migration

James Raymer, Patrick Gerland, Sara Hertog, Tianyu Shen and Qing Guan
Additional contact information
James Raymer: Australian National University
Patrick Gerland: United Nations Population Division
Sara Hertog: United Nations Population Division
Tianyu Shen: Australian National University
Qing Guan: Australian National University

Demographic Research, 2025, vol. 53, issue 19, 569-610

Abstract: Background: Many national statistical offices and international agencies use age and sex profiles of net migration as inputs into demographic accounting models for population estimation and projection. Commonly used residual methods for inferring these profiles have proven inadequate due to errors in the measures of populations, births, and deaths. Objective: We test and apply a new methodology to infer the age and sex profiles of net international migration. Methods: Our strategy focuses on estimating flows of immigration and emigration by age and sex. Differences from these flow estimates are then used to represent estimates of net international migration. Results: Based on promising results from empirical tests that used data from Sweden and the Republic of Korea, the methodology is extended to estimate age–sex patterns of net international migration for countries lacking migration data. Conclusions: We develop a relatively simple yet powerful model for estimating the age and sex profiles of net international migration from estimated immigration and emigration age–sex profiles. The model is flexible such that it can be applied to any country situation, with or without data, and can be modified to incorporate new data or assumptions. Contribution: This research contributes towards overcoming data limitations and improving understanding of migration processes, as well as the estimation and projection of populations.

Keywords: international migration; net migration; estimation; age; sex (search for similar items in EconPapers)
JEL-codes: J1 Z0 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.demographic-research.org/volumes/vol53/19/53-19.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dem:demres:v:53:y:2025:i:19

DOI: 10.4054/DemRes.2025.53.19

Access Statistics for this article

More articles in Demographic Research from Max Planck Institute for Demographic Research, Rostock, Germany
Bibliographic data for series maintained by Editorial Office ().