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	Provedor de dados AgEcon (32) Autor Ramirez, Octavio A. (32) Carpio, Carlos E. (8) McDonald, Tanya U. (3) Misra, Sukant K. (3) Rejesus, Roderick M. (3) Field, James E. (2) Somarriba, Eduardo (2) Sosa, Romeo (2) Boonsaeng, Tullaya (1) Britt, Megan L. (1) Denning, Megan (1) Dorfman, Jeffrey H. (1) Escalante, Cesar L. (1) Fadiga, Mohamadou L. (1) Ferrer, Myra Clarisse R. (1) Finnegan, Brian (1) Fonsah, Esendugue Greg (1) Karali, Berna (1) Knight, Thomas O. (1) Lu, Yue (1) Mais... Palavra-chave Research Methods/ Statistical Methods (10) Risk and Uncertainty (8) Crop Production/Industries (6) Agribusiness (4) Resource /Energy Economics and Policy (4) Agricultural Finance (3) Demand and Price Analysis (3) Skewness (3) Agricultural and Food Policy (2) Crop insurance (2) Data Aggregation (2) Efficient Forecasting (2) Farm Management (2) GARCH (2) Graduate degree and Ph.D. programs (2) Land Economics/Use (2) Las Cruces (2) NMSU (2) Nonnormality (2) Risk Management Agency (2) Mais... Tipo do documento Conference Paper or Presentation (15) Journal Article (15) Presentation (1) Report (1) Ano 2012 (1) 2011 (5) 2010 (3) 2009 (2) 2008 (3) 2007 (1) 2006 (2) 2005 (1) 2004 (1) 2003 (2) 2002 (2) 2001 (2) 2000 (6) 1999 (1) Mais... País United States (32) Idioma Inglês (30) Espanhol (2)		Registro completo Provedor de dados:  AgEcon País:  United States Título:  Can Crop Insurance Premiums be Reliably Estimated? Autores:  Ramirez, Octavio A. Carpio, Carlos E. Rejesus, Roderick M. Data:  2009-04-30 Ano:  2009 Palavras-chave:  Crop insurance premiums Non-normal distributions Simulation methods Agribusiness Agricultural Finance Risk and Uncertainty Resumo:  The objective of this paper is to compare the accuracy of crop insurance rating methods based on historical liability and indemnity data (similar to the procedure currently used by the Risk Management Agency) and “yield distribution” approaches. Estimated rates are compared to “true” rates using empirically-grounded simulation procedures that take into account common data availability constraints. Simulation results suggest that farm and county level rate estimates using the “yield distribution” approach are significantly more accurate than those based on historical indemnity and liability records. Tipo:  Conference Paper or Presentation Idioma:  Inglês Identificador:  http://purl.umn.edu/49465 Relação:  Agricultural and Applied Economics Association>2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 607809 Selected Paper Formato:  31 Fechar

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