Modeling the Tail Distribution and Ratemaking: An Application of Extreme Value Theory
Arne Bathke and
Jerry R. Skees
No 19190, 2005 Annual meeting, July 24-27, Providence, RI from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association)
Economic analysis of weather risk often depends on accurate assessment of the probability (P) of tail quantiles (Q). Extreme value theory can provide a promising estimation of the tail part risk and this paper intends to apply the extreme value model to estimate the tail risk on India excess rainfall.
Keywords: Research Methods/ Statistical Methods (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea05:19190
Access Statistics for this paper
More papers in 2005 Annual meeting, July 24-27, Providence, RI from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) Contact information at EDIRC.
Series data maintained by AgEcon Search ().