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	Provedor de dados 31 (3) Autor Hennessy, David A. (3) Babcock, Bruce A. (1) Miranowski, John A. (1) Palavra-chave Martingale (3) Crop insurance (2) Growing degree days (2) Pólya urn (2) Stochastic process. (2) Crop Production/Industries (1) Experimentation (1) Financial Economics (1) Genetics (1) Information (1) Production Economics (1) Productivity Analysis (1) Risk and Uncertainty (1) Sorting (1) Uniformity (1) Value added (1) Mais... Tipo do documento Working or Discussion Paper (2) Conference Paper or Presentation (1) Ano 2010 (1) 2009 (1) 2003 (1) País United States (3) Idioma Inglês (3)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 3 Primeira ... 1 ... Última A Crop Yield Expectation Stochastic Process with Beta Distribution as Limit 31 Hennessy, David A.. The modeling of price risk in the theory and practice of commodity risk management has been developed far beyond that of crop yield risk. This is in large part due to the use of plausible stochastic price processes. We use the Pólya urn to identify and develop a model of the crop yield expectation stochastic process over a growing season. The process allows a role for agronomic events, such as growing degree days. The model is internally consistent in adhering to the martingale property. The limiting distribution is the beta, commonly used in yield modeling. By applying binomial tree analysis, we show how to use the framework to study hedging decisions and crop valuation. Tipo: Working or Discussion Paper Palavras-chave: Crop insurance; Growing degree days; Martingale; Pólya urn; Stochastic process.; Risk and Uncertainty. Ano: 2009 URL: http://purl.umn.edu/54829 GENETIC INFORMATION IN AGRICULTURAL PRODUCTIVITY AND PRODUCT DEVELOPMENT 31 Hennessy, David A.; Miranowski, John A.; Babcock, Bruce A.. A prominent facet of recent changes in agriculture has been the advent of precision breeding techniques. Another has been an increase in the level of information inputs and outputs associated with agricultural production. This paper identifies ways in which these features may complement in expanding the variety of processed products, the level of productivity, and the rate of change in productivity. Using a martingale concept of "more information," we identify conditions under which more information increases the incentives to invest and engage in product differentiation. A theory on how genetic uniformity can enhance the rate of learning through process experimentation, and so the rate of technical change, is also developed. Tipo: Working or Discussion Paper Palavras-chave: Experimentation; Genetics; Information; Martingale; Sorting; Uniformity; Value added; Productivity Analysis. Ano: 2003 URL: http://purl.umn.edu/18598 Pólya’s Urn Model for Crop Yield Expectation Stochastic Process 31 Hennessy, David A.. Tipo: Conference Paper or Presentation Palavras-chave: Crop insurance; Growing degree days; Martingale; Pólya urn; Stochastic process.; Crop Production/Industries; Financial Economics; Production Economics. Ano: 2010 URL: http://purl.umn.edu/60896 Registros recuperados: 3 Primeira ... 1 ... Última

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