Abstract
This study employs a Poisson model with Generalized Estimating Equations (GEE) to identify the key factors in the Moroccan auto insurance rating system. Crucial factors identified include gender, tariff-determining usage codes, vehicle usage, and driver experience. A comparison of this study model with Morocco’s current rating system reveals the presence of pricing suboptimality, which can be improved by enhancing the incorporation of driving history and adjusting the Bonus–Malus system to better reflect actual claim patterns and risk profiles.
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Articles in the same Issue
- Frontmatter
- Featured Articles (Research Paper)
- Balancing Innovation and Profitability: Technological Diversification in Iran’s Insurance Industry
- Medical Insurance Contribution and Firm-Level Total Factor Productivity
- Cream Skimming and Technological Innovations in Automobile Insurance Market
- A Study on the Current Bonus–Malus System in the Moroccan Automobile Insurance Market
Articles in the same Issue
- Frontmatter
- Featured Articles (Research Paper)
- Balancing Innovation and Profitability: Technological Diversification in Iran’s Insurance Industry
- Medical Insurance Contribution and Firm-Level Total Factor Productivity
- Cream Skimming and Technological Innovations in Automobile Insurance Market
- A Study on the Current Bonus–Malus System in the Moroccan Automobile Insurance Market