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	Provedor de dados AgEcon (3) Autor Seaquist, Jack (3) Vergara, Oscar (3) Zuba, Gerhard (3) Harrigan, Matthew (1) Lee, Eric (1) Palavra-chave Crop insurance (3) Risk and Uncertainty (3) Agricultural loss (1) C (1) Crop Production/Industries (1) D81 (1) Decision-making (1) Loss model (1) MPCI (1) Modeling (1) Models (1) Probabilities (1) Q (1) Reinsurance (1) Research and Development/Tech Change/Emerging Technologies (1) Risk (1) SRA (1) Stochastic model (1) Weather peril (1) Yield model (1) Mais... Tipo do documento Conference Paper or Presentation (3) Ano 2011 (1) 2009 (1) 2008 (1) País United States (3) Idioma Inglês (3)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 3 Primeira ... 1 ... Última Modeling the Crop Insurance Industry Portfolio Gains and Losses (PowerPoint) AgEcon Vergara, Oscar; Zuba, Gerhard; Seaquist, Jack. Powerpoint slide show presenting information about AIR (the first catastrophic modeling company), weather-based yield models, agricultural portfolio loss model, and applications to crop insurance/reinsurance. Tipo: Conference Paper or Presentation Palavras-chave: Risk; Crop insurance; Reinsurance; Modeling; Agricultural loss; Loss model; Yield model; Risk and Uncertainty. Ano: 2008 URL: http://purl.umn.edu/43766 Recap of the 2008 Crop Insurance Year: What Can We Learn from Models? (PowerPoint) AgEcon Vergara, Oscar; Zuba, Gerhard; Seaquist, Jack. Tipo: Conference Paper or Presentation Palavras-chave: Crop insurance; Models; Decision-making; Risk and Uncertainty; D81. Ano: 2009 URL: http://purl.umn.edu/48910 Impact of the New Standard Reinsurance Agreement (SRA) on Multi-Peril Crop Insurance (MPCI) Gain and Loss Probabilities AgEcon Vergara, Oscar; Seaquist, Jack; Zuba, Gerhard; Harrigan, Matthew; Lee, Eric. We utilize an agricultural model that uses crop/weather relationships at the county resolution and fits robust distributions that take into account the impact that weather has on crop production. Once the crop insurance policy conditions and prices are applied to the modeled county yield distributions, the portfolio gain and losses can be calculated by aggregating the gain and losses at the county level, state level, regional level and nationwide level. Portfolio losses are computed under the old and new SRA rules and regulations for comparison purposes. Tipo: Conference Paper or Presentation Palavras-chave: SRA; MPCI; Crop insurance; Stochastic model; Weather peril; Probabilities; Crop Production/Industries; Research and Development/Tech Change/Emerging Technologies; Risk and Uncertainty; C; Q. Ano: 2011 URL: http://purl.umn.edu/103282 Registros recuperados: 3 Primeira ... 1 ... Última

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