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Cummins, J. David; McDonald, James B.; Merrill, Craig. |
Although an extensive literature has developed on modeling the loss reserve runoff triangle, the estimation of severity distributions applicable to claims settled in specific cells of the runoff triangle has received little attention in the literature. This paper proposes the use of a very flexible probability density function, the generalized beta of the 2nd kind (GB2) to model severity distributions in the cells of the runoff triangle and illustrates the use of the GB2 based on a sample of nearly 500,000 products liability paid claims. The results show that the GB2 provides a significantly better fit to the severity data than conventional distributions such as the Weibull, Burr 12, and generalized gamma and that modeling severity by cell is important to... |
Tipo: Journal Article |
Palavras-chave: Loss distributions; Loss reserves; Generalized beta distribution; Liability insurance; Risk and Uncertainty; C16; G22. |
Ano: 2007 |
URL: http://purl.umn.edu/50154 |
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Calabrese, Chiara; Mack, Gabriele. |
This paper analyses different direct payments system for the Swiss alpine region based on the multi-agent model SWISSland. Moreover, the future demand and management of the alpine pastures are simulated under different scenarios until 2020. In the model, agents are representing existing summer farms and are able to interact with each other. The results imply that the current direct payment system for the Swiss alpine region is effective and able to maintain a stable development until 2020. Since the land management in the alpine region is the activity that provides public goods, it would be reasonable to enforce payments that maximize the area of summered land. A change to contributions coupled to the surfaces could achieve the desired management of the... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Multi-agent models; Policy analysis; Simulation; Alpine region; Agricultural and Food Policy; C16; Q18.. |
Ano: 2011 |
URL: http://purl.umn.edu/99370 |
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