Determinants of life insurance market share: a comprehensive panel econometric and machine learning analysis of seven industrialized countries (2005-2022)

Authors

  • Mohamed Ibraheem Department of Applied Statistics and Insurance, Faculty of Commerce, Mansoura University, Egypt
  • Hebatalh hassan Department of Economics and Finance, College of Business Administration, Taif University
  • Sayed Youssef Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Saudi Arabia
  • Mousa Selmey Department of Business Administration, College of Business, Jouf University, Sakaka, Saudi Arabia
  • Noura Saad Department of Statistics, Mathematics and Insurance, Faculty of Commerce, Kafrelsheikh University, Kafrelsheikh 33516, Egypt

DOI:

https://doi.org/10.19139/soic-2310-5070-4020

Keywords:

Life Insurance, , Retention Ratio, Reinsurance Acceptance Machine Learning, Actuarial Risk, System GMM

Abstract

Herein, this research analyzes the determinants affecting life insurance market share in seven prominent industrialized countries: France, Germany, Italy, Japan, Spain, Sweden, and the United Kingdom from 2005 to 2022. We use a large panel dataset with 126 country-year observations and a wide range of advanced methods, such as two-way fixed effects, system GMM dynamic panel, panel cointegration, Granger causality, threshold regression, and ensemble machine learning (XGBoost). Our results show six important things. First, retention ratios have a strong positive and statistically significant effect on life insurance market share (coefficient = 1.498, p < 0.01), and system GMM backs this up. Second, there is a strong negative correlation between reinsurance acceptance and reinsurance acceptance (coefficient = -7.892, p < 0.01). Third, our new Reinsurance Dependency Index shows nonlinear interaction effects (coefficient = 598.23, p < 0.05). Fourth, life insurance markets show

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Published

2026-06-25

How to Cite

Ibraheem, M., hassan, H., Youssef, S., Selmey, M., & Saad, N. (2026). Determinants of life insurance market share: a comprehensive panel econometric and machine learning analysis of seven industrialized countries (2005-2022). Statistics, Optimization & Information Computing, 16(2), 1219–1242. https://doi.org/10.19139/soic-2310-5070-4020

Issue

Vol. 16 No. 2 (2026)

Section

Research Articles

Categories

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Copyright (c) 2026 Mohamed Ibraheem, Hebatalh hassan, Sayed Youssef, Mousa Selmey, Noura Saad

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