Abstract
In this paper, we introduce and employ a multi-agent model of entry to analyze barriers to entry in the U.S. property casualty insurance industry. Our estimations are conducted at the market-year level, enabling a detailed exploration of the relative importance of barriers across three dimensions: geography, product, and time. Our findings reveal that entry barriers are both prevalent and significant in the U.S. property casualty insurance industry, with de novo entrants encountering the most challenges from product barriers across all markets. We observe that expanding across product lines is more costly than expanding across states. Particularly, New York and California exhibit the strongest state barriers. Among various product lines, our research identifies that insurance expertise in mortgage guaranty and medical professional liability insurance presents the most substantial barriers to entry. This study contributes valuable insights into the dynamics of entry barriers in the U.S. property casualty insurance industry, highlighting the importance of considering geographic and product-specific knowledge, as well as temporal factors, in the context of market entry. Through analyses across these dimensions, we enhance the understanding of the challenges faced by new entrants and shed light on the specific market conditions shaping entry barriers.
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Articles in the same Issue
- Frontmatter
- Featured Articles (Research Paper)
- A Strategy for Rolling out Climate De-risk Insurance through Regional Collaboration
- Multidimensional Barriers to Entry in the Insurance Industry
- Estimating Risk Relativity of Driving Records using Generalized Additive Models: A Statistical Approach for Auto Insurance Rate Regulation
- Assessing the Impact of Climate Risk Stresses on Life Insurance Portfolios
Articles in the same Issue
- Frontmatter
- Featured Articles (Research Paper)
- A Strategy for Rolling out Climate De-risk Insurance through Regional Collaboration
- Multidimensional Barriers to Entry in the Insurance Industry
- Estimating Risk Relativity of Driving Records using Generalized Additive Models: A Statistical Approach for Auto Insurance Rate Regulation
- Assessing the Impact of Climate Risk Stresses on Life Insurance Portfolios