Assessing the agreement between microsimulated and register-based kin counts in Sweden

Estimating kinship networks is a data-intensive undertaking, usually conducted using empirical sources or demographic models. Although empirical data, such as population registers, provide observed individual-level information, they are limited by availability, truncation, and survivorship bias. Demographic models, including microsimulation, require less detailed data, but they often minimally account for population heterogeneity, family similarity, and multi-partner fertility. This study examines the agreement of kin counts (from grandparents to grandchildren) between SOCSIM microsimulation outputs and Swedish population registers for cohorts born between 1915 and 2017. The results show that microsimulation closely approximates mean kin numbers and reasonably reflects parity distributions. Microsimulation underestimates kin for recent cohorts not affected by truncation but provides a more accurate representation of kin for earlier cohorts with missing parent-child links. These findings highlight the utility of microsimulation for reconstructing kinship when only population-level rates are available, supporting its application in kinship analyses, both historical and projected.

Authors

Institutions

Publication Details

Journal
Population Studies
Published
2026-07-30
DOI
https://doi.org/10.1080/00324728.2026.2706778
Primary Topic
Intergenerational Family Dynamics and Caregiving
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing the agreement between microsimulated and register-based kin counts in Sweden

Diego Alburez‐Gutierrez, Liliana Bernal, Martin Kolk, Emilio Zagheni
Population Studies
Intergenerational Family Dynamics and Caregiving
article

Assessing the agreement between microsimulated and register-based kin counts in Sweden

Diego Alburez‐Gutierrez, Liliana Bernal, Martin Kolk, Emilio Zagheni
article en

Abstract

Estimating kinship networks is a data-intensive undertaking, usually conducted using empirical sources or demographic models. Although empirical data, such as population registers, provide observed individual-level information, they are limited by availability, truncation, and survivorship bias. Demographic models, including microsimulation, require less detailed data, but they often minimally account for population heterogeneity, family similarity, and multi-partner fertility. This study examines the agreement of kin counts (from grandparents to grandchildren) between SOCSIM microsimulation outputs and Swedish population registers for cohorts born between 1915 and 2017. The results show that microsimulation closely approximates mean kin numbers and reasonably reflects parity distributions. Microsimulation underestimates kin for recent cohorts not affected by truncation but provides a more accurate representation of kin for earlier cohorts with missing parent-child links. These findings highlight the utility of microsimulation for reconstructing kinship when only population-level rates are available, supporting its application in kinship analyses, both historical and projected.

Population Studies
Åbo Akademi University (FI), Stockholm University (SE), Humboldt-Universität zu Berlin (DE), Institute for Futures Studies (SE), Max Planck Institute for Demographic Research (DE)
Max-Planck-Institut für demografische Forschung
Openalex Percentile: Top 4%
Intergenerational Family Dynamics and Caregiving
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.