|
|
|
| Registros recuperados: 114 | |
|
|
| Barnett, Barry J.; Coble, Keith H.. |
| Federal policy-makers increasingly emphasize the Federal Crop Insurance Program as the primary federal risk management program for farmers. Farm leaders need to understand the underlying mechanics of insurance products if they are to effectively argue their interests and contribute constructively to future agricultural policy dialogue. Further they need to understand the unique circumstances created by the fact that the Federal Crop Insurance program functions as a public-private partnership between the U.S. government and private insurance companies. This manuscript describes both the fundamental features of insurance products and the political economy of the federal crop insurance program. |
| Tipo: Working or Discussion Paper |
Palavras-chave: Crop insurance; Revenue insurance; Insurability criteria; Risk and Uncertainty. |
| Ano: 1999 |
URL: http://purl.umn.edu/15784 |
| |
|
| |
|
|
| Shen, Zhiwei; Odening, Martin. |
| The implementation of index-based crop insurance is often impeded by the existence of systemic risk of insured losses. We assess the effectiveness of two strategies for coping with systemic risk: regional diversification and securitization with catastrophe (CAT) bonds. The analysis is conducted in an equilibrium pricing framework which allows the optimal price of the insurance and the number of traded contracts to be determined. We also explore the role of basis risk and risk aversion of market agents. The model is applied to a hypothetical area yield insurance for rice producers in northeast China. If yields in two regions are positively correlated, we find that enlarging the insured area leads to an increasing insurance premium. Unless capital market... |
| Tipo: Presentation |
Palavras-chave: Crop insurance; Systemic risk; Risk pooling; Securitization; Risk and Uncertainty; Q11; Q14. |
| Ano: 2012 |
URL: http://purl.umn.edu/122555 |
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
|
| Velandia, Margarita M.; Rejesus, Roderick M.; Knight, Thomas O.; Sherrick, Bruce J.. |
| Factors affecting the adoption of crop insurance, forward contracting, and spreading sales are analyzed using multivariate and multinomial probit approaches that account for simultaneous adoption and/or correlation among the three risk management adoption decisions. Our empirical results suggest that the decision to adopt crop insurance, forward contracting, and/or spreading sales are correlated. Richer insights can be drawn from our multivariate and multinomial probit analysis than from separate, single-equation probit estimation that assumes independence of adoption decisions. Some factors significantly affecting the adoption of the risk management tools analyzed are proportion of owned acres, off-farm income, education, age, and level of business risks. |
| Tipo: Journal Article |
Palavras-chave: Adoption decisions; Crop insurance; Forward contracting; Multinomial probit; Multivariate probit; Risk management; Spreading sales; Agribusiness; Agricultural Finance; Crop Production/Industries; Demand and Price Analysis; Risk and Uncertainty; G22; Q12; Q18. |
| Ano: 2009 |
URL: http://purl.umn.edu/48751 |
| |
|
| |
|
| |
|
|
| Finger, Robert. |
| The level of natural hedge, i.e. the (negative) correlation between price and yield levels, is an important determinant for farmers’ income risks and their demand for risk management instruments. The natural hedge is often approximated with correlations observed at more aggregated levels, e.g. the county level. This induces biases because the natural hedge at the farm-level is smaller than on more aggregated levels. In this paper, we put this idea one step forward and investigate the empirical relationship between price-yield correlations and the underlying crop acreage, using farm-level data for 5 crops in Switzerland. We find that, for instance, a 1% increase in area under maize and intensive barley leads to a change in the correlation by -0.02 and... |
| Tipo: Presentation |
Palavras-chave: Price-yield correlation; Aggregation bias; Crop insurance; Risk and Uncertainty; Q1; G2. |
| Ano: 2012 |
URL: http://purl.umn.edu/122538 |
| |
|
|
| Gustafson, Cole R.; Wilson, William W.; Dahl, Bruce L.. |
| Malt barley is an important specialty crop in the Northern Plains and growers mitigate risk with federally subsidized crop insurance and production contracts. However, growers face considerable risk due to "coverage gaps" in crop insurance that result in uncertain indemnity payments due to uncertainty of their crop meeting contract specifications. A stochastic dominance model is developed to evaluate alternative risk efficient strategies for growers with differing risk attitudes and production practices (irrigation vs. dryland). Results show that efficient choices are highly dependent on risk attitudes for dryland growers, but not irrigated growers. Sensitivities with respect to acceptance risk and level of crop insurance subsidization are presented.... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Crop insurance; Malting barley; Stochastic dominance; Stochastic efficiency; Risk and Uncertainty. |
| Ano: 2006 |
URL: http://purl.umn.edu/21095 |
| |
|
|
| 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 |
| |
|
| |
|
|
| Babcock, Bruce A.; Hart, Chad E.. |
| The Agricultural Risk Protection Act greatly increased the expected marginal net benefit of farmers buying high-coverage crop insurance policies by coupling premium subsidies to coverage level. This policy change, combined with cross-sectional variations in expected marginal net benefits of high-coverage policies, is used to estimate the role that premium subsidies play in farmers' crop insurance decisions. We use county data for corn, soybeans, and wheat to estimate regression equations that are then used to obtain insight into two policy scenarios. We first estimate that eventual adoption of actuarially fair incremental premiums, combined with current coupled subsidies, would increase farmers' purchase of high-coverage policies by almost 400 percent... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Agricultural Risk Protection Act; Crop insurance; Premium subsidies; Risk and Uncertainty. |
| Ano: 2005 |
URL: http://purl.umn.edu/18494 |
| |
|
| |
|
|
| Richards, Timothy J.. |
| Proposals for reform of the federal multiple-peril crop insurance program for specialty crops seek to change fees for catastrophic (CAT) insurance from a nominal fifty-dollar per contract registration fee to an actuarially sound premium. Growers argue that this would cause a significant reduction in participation rates, thus impeding the program's goals of eventually obviating the need for ad hoc disaster payments and worsening the actuarial soundness of the program. The key policy issue is, therefore, empirical one - whether the demand for specialty crop insurance is elastic or inelastic. Previous studies of this issue using either grower or county-level field crop data typically treat the participation problem as either a discrete insure / don't insure... |
| Tipo: Working or Discussion Paper |
Palavras-chave: California; Crop insurance; Discrete/continuous choice; Grapes; Multinomial logit.; Risk and Uncertainty. |
| Ano: 1998 |
URL: http://purl.umn.edu/28546 |
| |
|
|
| Rejesus, Roderick M.; Little, Bertis B.; Lovell, Ashley C.; Cross, Mike H.; Shucking, Michael. |
| This article analyzes anomalous patterns of agent, adjuster, and producer claim outcomes and determines the most likely pattern of collusion that is suggestive of fraud, waste, and abuse in the federal crop insurance program. Log-linear analysis of Poisson-distributed counts of anomalous entities is used to examine potential patterns of collusion. The most likely pattern of collusion present in the crop insurance program is where agents, adjusters, and producers nonrecursively interact with each other to coordinate their behavior. However, if a priori an intermediary is known to initiate and coordinate the collusion, a pattern where the producer acts as the intermediary is the most likely pattern of collusion evidenced in the data. These results have... |
| Tipo: Journal Article |
Palavras-chave: Abuse; Collusion; Crop insurance; Empirical analysis; Fraud; Waste; G22; Q12; Q18; Q19. |
| Ano: 2004 |
URL: http://purl.umn.edu/43393 |
| |
| Registros recuperados: 114 | |
|
|
|
