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| Registros recuperados: 15 | |
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| Novak, James L.; Nadolnyak, Denis A.. |
| Rainfall Index (RI) insurance provides forage and hay producers with group risk protection against drought related losses. However, insurance premiums and risk protection are currently based on pooled weather data series and do not account for the impacts of specific climate phases, specifically the El Niño Southern Oscillation (ENSO), on local rainfall distribution. This analysis examines differences in the expected payoffs on the RI insurance under varying coverage levels based on probabilities of rainfall shortage during specific climate events at four Agricultural Experiment Stations in Alabama. Policy makers and producers are expected to benefit from the results that show the varying effects of climate on expected payouts from this insurance. |
| Tipo: Journal Article |
Palavras-chave: Risk and Uncertainty. |
| Ano: 2010 |
URL: http://purl.umn.edu/96368 |
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| Lubben, Bradley D.; Novak, James L.. |
| New revenue-based support programs in the 2008 Farm Bill represent a fundamental shift in farm programs and risk management decision-making. However, complexity, uncertainty, economics, and, arguably, an incomplete analysis of the new Average Crop Revenue Election (ACRE) program all contributed to low enrollment in the new program in 2009. An effective analysis of ACRE should consider farm programs as part of an integrated risk management portfolio, including crop insurance, marketing, and other risk management tools as opposed to a separate lottery program. Improving this integration could be one of the most significant consequences of the 2008 Farm Bill. |
| Tipo: Journal Article |
Palavras-chave: Farm bill; Commodity programs; Risk management; Agribusiness; Agricultural and Food Policy; Agricultural Finance; Farm Management; Land Economics/Use; Political Economy; Public Economics; Risk and Uncertainty; Q18. |
| Ano: 2010 |
URL: http://purl.umn.edu/92591 |
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| Ramaratnam, S. Sri; Rister, M. Edward; Bessler, David A.; Novak, James L.. |
| An analysis of risk attitudes for a sample of grain sorghum producers in the Texas Coastal Bend is reported. Four alternative functional forms were estimated on data elicited by the direct elicitation of utility approach. The exponential functional form described most producers' utility preferences better than other utility forms. Relationships between exponential risk measures and both producer attributes and farm characteristics, including interactions among them, were identified as significant. Risk aversion was found to diminish with more experience in farming and to increase with more leasing of farm land. Risk aversion was also found to decline with larger farm size and to increase with higher dependency of farm operators on farm income. |
| Tipo: Journal Article |
Palavras-chave: Risk and Uncertainty. |
| Ano: 1986 |
URL: http://purl.umn.edu/29768 |
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| Nadolnyak, Denis A.; Novak, James L.; Paz, Joel O.. |
| The paper reports results of non-parametric analysis of peanut, corn, and cotton yield distributions by the ElNino Southern Oscillation (ENSO) phases in the Southeastern U.S. For validation purposes, the historical yield data is complemented by a set of simulated peanut yields generated using daily weather data. The hypothesis, justified by the observed South-Eastern climate differences and research on ENSO cycles and planting dates, is that different climate conditions during ENSO cycles translate into different yield distributions and, therefore, insurance premiums (loss to coverage ratios). Kernel density estimates of historical county yield data show consistent patterns in the actuarially fair rate schedules grouped by ENSO phases and geographical... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Risk and Uncertainty; Q140; C220; G220. |
| Ano: 2007 |
URL: http://purl.umn.edu/9718 |
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| Novak, James L.; Mitchell, Charles C., Jr.; Crews, Jerry R.. |
| Target-MOTAD was used to assess the risks and returns of sustainable cotton crop rotations from Auburn University's 92-year "Old Rotation." Study results analyze rotations of continuous cotton, with and without winter legumes; two years of cotton-winter legumes-corn, with and without nitrogen fertilization; and three years of cotton-winter legumes-corn and rye-soybeans double-cropped. Ten years of observations on deviations from target income were used to identify optimal sustainable rotation(s). Study results suggest that diversification in rotations, as well as in crops, results in the least risk for a given level of target income. |
| Tipo: Journal Article |
Palavras-chave: Risk and Uncertainty. |
| Ano: 1990 |
URL: http://purl.umn.edu/29905 |
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| Smith, Rachel K.; Duffy, Patricia A.; Novak, James L.; Wilson, Norbert L.W.. |
| An econometric model was used to estimate the supply response of corn, cotton, and soybeans in the Southeast United States. The analysis includes state-level data from 1991-2005 for Alabama, Florida, Georgia, North Carolina, South Carolina, Tennessee, and Virginia, taking into account the effect of wealth, revenue risk, and farm program provisions. Estimated elasticities were low and many parameters were not statistically significant. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Supply Response; Government Programs; Risk; Wealth; Agricultural and Food Policy; Q11; Q18. |
| Ano: 2009 |
URL: http://purl.umn.edu/46756 |
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| Registros recuperados: 15 | |
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