Finnish Court-Ordered Foster Care Placement Data (LASTU)

This paper describes the construction of LASTU, a new individual-level datasetcovering all Finnish court-ordered out-of-home placement decisions from 2000to 2025 (n ≈ 14000). The dataset was built by digitising, pre-processing, andstructuring the free-text content of administrative court records, and linking theresulting case-level variables to the INVEST Full Population administrative registers. We document the data structure, the text-partitioning and variable-extractionpipeline, and the multi-stage validation protocol. The pipeline follows a rulesbased approach exploiting the highly consistent structure of Finnish court decisions to partition text into thematically defined segments before conducting extraction of variables . The resulting dataset enables causal analysis of placementeffects on children’s long-term educational, health, and labour market outcomesas well descriptive evidence, and supports research on the determinants of courtdecisions and regional variation in child welfare practice.

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Publication Details

Journal
SocArXiv (OSF Preprints)
Published
2026-11-10
DOI
https://doi.org/10.31235/osf.io/jvkzr_v1
Primary Topic
Child Welfare and Adoption
Type
preprint
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Finnish Court-Ordered Foster Care Placement Data (LASTU)

Henri R. W. Salokangas, Mika Pihlajamäki, Mikko Hertzig
SocArXiv (OSF Preprints)
Child Welfare and Adoption
preprint

Finnish Court-Ordered Foster Care Placement Data (LASTU)

Henri R. W. Salokangas, Mika Pihlajamäki, Mikko Hertzig
preprint en

Abstract

This paper describes the construction of LASTU, a new individual-level datasetcovering all Finnish court-ordered out-of-home placement decisions from 2000to 2025 (n ≈ 14000). The dataset was built by digitising, pre-processing, andstructuring the free-text content of administrative court records, and linking theresulting case-level variables to the INVEST Full Population administrative registers. We document the data structure, the text-partitioning and variable-extractionpipeline, and the multi-stage validation protocol. The pipeline follows a rulesbased approach exploiting the highly consistent structure of Finnish court decisions to partition text into thematically defined segments before conducting extraction of variables . The resulting dataset enables causal analysis of placementeffects on children’s long-term educational, health, and labour market outcomesas well descriptive evidence, and supports research on the determinants of courtdecisions and regional variation in child welfare practice.

SocArXiv (OSF Preprints)
Child Welfare and Adoption
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