Author Archives: Dan Neilson

In a previous post, I talked about credibility problems arising from having too few losses in a policy year. A related but distinct problem arises when a few large losses dominate a dataset. In many respects, the easiest data to … Continue reading →

A recurring problem with any kind of data work is credibility: does the quality of the data warrant the conclusions being drawn from it? With insurance losses, credibility problems take a number of forms. One of the most common is … Continue reading →