Home Itens selecionados Provedores de dados OAI Créditos Sobre Ajuda

			Busca avançada
	Provedor de dados AgEcon (3) Autor Cooper, Joseph C. (1) Schnitkey, Gary D. (1) Sherrick, Bruce J. (1) Turvey, Calum G. (1) Wallander, Steven (1) Woodard, Joshua D. (1) Zhao, Jinhua (1) Mais... Palavra-chave Crop yield distributions (3) Risk and Uncertainty (3) Crop Production/Industries (2) Agribusiness (1) Agricultural Finance (1) Agricultural and Food Policy (1) Crop insurance (1) Demand and Price Analysis (1) Farm Management (1) Financial Economics (1) Flexible fourier transforms (1) Hedging effectiveness (1) Insurance strategies (1) Kernel (1) Marketing (1) Multi-Peril Crop Insurance (1) Multi-crop (1) Quantile regression (1) Research Methods/ Statistical Methods (1) Revenue risk (1) Mais... Tipo do documento Conference Paper or Presentation (2) Working or Discussion Paper (1) Ano 2010 (1) 2009 (1) 1999 (1) País United States (3) Idioma Inglês (3)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 3 Primeira ... 1 ... Última PARAMETRIC AND NON-PARAMETRIC CROP YIELD DISTRIBUTIONS AND THEIR EFFECTS ON ALL-RISK CROP INSURANCE PREMIUMS AgEcon Turvey, Calum G.; Zhao, Jinhua. Normal, gamma and beta distributions are applied to 609 crop yield histories of Ontario farmers to determine which, if any, best describe crop yields. In addition, a distribution free non-parametric kernel estimator was applied to the same data to determine its efficiency in premium estimation relative to the three parametric forms. Results showed that crop yields are most likely to be described by a beta distribution but only for 50% of those tested. In terms of efficiency in premium estimation, minimum error criteria supports use of a kernel estimator for premium setting. However, this gain in efficiency comes at the expense of added complexity. Tipo: Working or Discussion Paper Palavras-chave: Crop insurance; Crop yield distributions; Kernel; Crop Production/Industries; Risk and Uncertainty. Ano: 1999 URL: http://purl.umn.edu/34129 Revenue Risk Reduction Impacts of Crop Insurance in a Multi-Crop Framework AgEcon Woodard, Joshua D.; Sherrick, Bruce J.; Schnitkey, Gary D.. This study develops a multi-crop insurance model which is employed to evaluate crop insurance decisions when several crops are produced jointly. The results suggest that the diversification effects derived from producing multiple crops can substantially alter the risk reduction impacts of crop insurance versus if the decision is viewed from the perspective of a single crop. Further, the relatedness of crop production and price responses among crops differs considerably across insurance products and strategies. As a result, insurance strategies that might provide the maximum risk reduction for an individual crop do not necessarily carry over to the multi-crop case. Tipo: Conference Paper or Presentation Palavras-chave: Multi-Peril Crop Insurance; Revenue risk; Crop yield distributions; Multi-crop; Insurance strategies; Hedging effectiveness; Agribusiness; Agricultural and Food Policy; Agricultural Finance; Demand and Price Analysis; Farm Management; Financial Economics; Marketing; Research Methods/ Statistical Methods; Risk and Uncertainty. Ano: 2009 URL: http://purl.umn.edu/53043 A Globally Flexible Model for Crop Yields Under Weather Risk AgEcon Cooper, Joseph C.; Wallander, Steven. The literature on climate change and crop yields recognizes the need to allow for highly non-linear marginal effects. This study combines these two areas of the literature by using Flexible Fourier Transforms (FFT’s) to ensure flexibility for both the time trend and the weather effects. This study also illustrates how FFT’s can be combined with quantile regression (QR) to provide both robustness to outliers and information on the scale effects of time and weather variables. For U.S. county level data on corn, soybeans, and winter wheat, we estimate the relationship between yield and temperature and precipitation using a traditional parametric expected-yield estimator, our quantile-FFT regression evaluated at the median, and our QR-FFT regression that... Tipo: Conference Paper or Presentation Palavras-chave: Crop yield distributions; Flexible fourier transforms; Quantile regression; Crop Production/Industries; Risk and Uncertainty. Ano: 2010 URL: http://purl.umn.edu/103560 Registros recuperados: 3 Primeira ... 1 ... Última

Empresa Brasileira de Pesquisa Agropecuária - Embrapa Todos os direitos reservados, conforme Lei n° 9.610 Política de Privacidade Área restrita		Embrapa Parque Estação Biológica - PqEB s/n° Brasília, DF - Brasil - CEP 70770-901 Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco