Systematic Literature Review of Non-Life Actuarial Models, 1980s to 2023

A systematic literature review of 505 records from Scopus, analyzing 40 studies on non-life actuarial modelling from the 1980s to 2023. The work, authored by Christiaan Ravensbergen and published on figshare, proposes a framework for the field's development and discusses a paradigm shift towards machine learning. The dataset was last updated on 2026-04-08.

Use Cases

• Analyzing the historical evolution of actuarial models based on the described chronological developments.
• Studying the trade-off between predictive accuracy and interpretability in insurance models based on the discussion of machine-learning methods.
• Identifying research gaps in non-life actuarial science based on the systematic review of 40 studies.
• Examining the application of generalized linear models and hybrid designs in insurance pricing based on the framework presented.

Strengths

• Systematic review following the PRISMA approach, providing a structured analysis.
• Covers a long temporal range from the 1980s to 2023.
• Analyzes 40 studies in depth from an initial pool of 505 records.

Limitations

• Row count and column-level documentation for the underlying data are unknown.
• The 80.2 KB size suggests the dataset is limited in scope, likely containing the review article and supplementary files.
• Data content and structure must be inspected after download as the description focuses on the review's findings.

Provenance

Source

figshare, authored by Christiaan Ravensbergen.

Collection Method

Systematic literature review (PRISMA) of Scopus records.

Time Range

1980s to 2023.

Freshness

Last updated 2026-04-08 11:44:05.

Geography

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