Background: We propose using neighborhood characteristics as demand-related morbidity adjusters to improve prediction models such as the risk equalization model. Results: Since the neighborhood has no explicit 'place' in healthcare demand models, we have developed the 'Neighborhood and...

We consider the Sparre Andersen risk process with interclaim times that belong to the class of distributions with rational Laplace transform. We construct error bounds for the ruin probability based on the Pollaczek-Khintchine formula, and develop an efficient algorithm to approximate the ruin...

We consider the Sparre Andersen risk process with interclaim times that belong to the class of distributions with rational Laplace transform. We construct error bounds for the ruin probability based on the Pollaczek-Khintchine formula, and develop an efficient algorithm to approximate the ruin...

Background: We propose using neighborhood characteristics as demand-related morbidity adjusters to improve prediction models such as the risk equalization model. Results: Since the neighborhood has no explicit ‘place’ in healthcare demand models, we have developed the “Neighborhood and...

We consider a discrete-time dependent Sparre Andersen risk model which incorporates multiple threshold levels characterizing an insurer's minimal capital requirement, dividend paying situations, and external financial activities. We focus on the development of a recursive computational procedure...

We consider a discrete-time dependent Sparre Andersen risk model which incorporates multiple threshold levels characterizing an insurer's minimal capital requirement, dividend paying situations, and external financial activities. We focus on the development of a recursive computational procedure...