
AbstractThe National Association of Insurance Commissioners (NAIC) issues model laws to promote uniformity in the US state‐based insurance regulatory system. In this paper, we study the diffusion of 197 NAIC model laws, examining the adoption patterns and influencing factors. Employing a network algorithm, we uncover the underlying network over which model laws spread. The NAIC plays a central role in this network, and its influence increases over time. Additionally, we explore factors affecting states' model law adoptions from three perspectives: the laws' attributes, the states' internal characteristics, and external influences. We find that a law's attributes play a key role. Model laws characterized by low complexity, distinct from existing state laws, mandated for accreditation compliance, and recently amended are more likely to be adopted. While we do not find significant impacts of various state‐internal characteristics, our results reveal that states follow geographic and ideological neighbors in adopting model laws.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
