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| Registros recuperados: 25 | |
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| Coble, Keith H.; Hanson, Terrill R.; Miller, J. Corey; Shaik, Saleem. |
| This paper examines the possibility that insurance for row crops, livestock, and aquaculture can be used effectively to encourage producers to adopt practices that will improve environmental behavior. Examples of agricultural environmental insurance are provided and considered in the context of alternative policy mechanisms. The current state of agricultural insurance and the nonagricultural environmental insurance market are explored. We also lay out the characteristics of an insurable risk along with the theoretical basis of insurance provision. An empirical example of an environmental insurance design is provided, and the behavioral implications of such a design are examined. Finally, we discuss important considerations that should be evaluated... |
| Tipo: Journal Article |
Palavras-chave: Environment; Insurance; Liability; D81; G22; H23; K13; Q18. |
| Ano: 2003 |
URL: http://purl.umn.edu/43214 |
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| Deng, Xiaohui; Barnett, Barry J.; Hoogenboom, Gerrit; Yu, Yingzhuo; Garcia y Garcia, Axel. |
| Three index-based crop insurance contracts are evaluated for representative south Georgia corn farms. The insurance contracts considered are based on indexes of historical county yields, yields predicted from a cooling degree-day production model, and yields predicted from a crop-simulation model. For some of the representative farms, the predicted yield index contracts provide yield risk protection comparable to the contract based on historical county yields, especially at lower levels of risk aversion. The impact of constraints on index insurance choice variables is considered and important interactions among constrained, conditionally optimized, choice variables are analyzed. |
| Tipo: Journal Article |
Palavras-chave: Area yield insurance; Cooling degree days; DSSAT; Group risk plan; Agribusiness; Crop Production/Industries; G13; G22; Q12. |
| Ano: 2008 |
URL: http://purl.umn.edu/45521 |
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| Enjolras, Geoffroy; Capitanio, Fabian; Aubert, Magali; Adinolfi, Felice. |
| Volatility of farm income represents a major challenge for farm management and the design of public policies. This paper measures the extent to which risk management tools, especially direct payments and crop insurance, can significantly reduce crop income volatility in France and in Italy. We use an original dataset of 9,555 farms for the period 2003-2007 drawn up from the Farm Accountancy Data Network (FADN) and three different econometric models to explain the volatility of crop income. The results are contrasted between the specialization of the farms and the two countries: Italian farms use management tools (CAP payments and crop insurance) so as to improve their income and to reduce its volatility (crop insurance, inputs). French farms use the same... |
| Tipo: Presentation |
Palavras-chave: Volatility; Direct payments; Insurance; France; Italy; FADN; Risk and Uncertainty; G22; Q14; Q18. |
| Ano: 2012 |
URL: http://purl.umn.edu/122478 |
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| Heidelbach, Olaf. |
| Recent academic discussion regarding crop insurance in developing and transition countries has focused on weather index insurance. But empirical analyses of such schemes based on farm level data cannot be found in the literature, though this insurance type shows clear advantages compared to multiple-peril crop insurance and revenue insurance. Recent empirical applications of risk and stochastic programming models focus on the optimisation of production planning, while literature on the effects of crop insurance on the farm level mainly focuses on the empirical investigation of reductions in farm income variance. The novelty of this paper is that it integrates regionally-adapted insurance products and expert-evaluated technology choices into a programming... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Risk; Risk management; Insurance; Agriculture; Kazakhstan; Crop Production/Industries; Risk and Uncertainty; Q12; Q14; G22; D82. |
| Ano: 2006 |
URL: http://purl.umn.edu/25243 |
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| Keeler, Andrew G.; Kriesel, Warren; Landry, Craig E.. |
| This paper uses the results of a nationwide survey of coastal property owners to estimate the demand for insurance against erosion damage. The National Flood Insurance Program (NFIP) does not technically cover such damage, although in practice there is considerable uncertainty about this point. The ability to insure against such losses has implications for the choice of beach management strategies and for NFIP management. We find significant demand for insurance at prices in the range of current flood insurance premiums, although median willingness to pay appears to be less than cost of providing such insurance. |
| Tipo: Journal Article |
Palavras-chave: Coastal erosion; Insurance; Risk; Q24; G22; H41. |
| Ano: 2003 |
URL: http://purl.umn.edu/43199 |
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| 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 |
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| 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 |
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| Garrido, Alberto; Zilberman, David. |
| We use the actual insurance records of 52,300 farmers and 11 years to estimate two sets of insurance demands. We define measures of insurance's expected returns, variance and third moment, based on observed insurance data, and infer the expected returns for those farmers that have never had an indemnity. We estimate several probit models and count models for the insuring vs non-insuring strategies, in which the economic returns of insurance and its two measures of dispersion enter as explanatory variables. Results show that farmers' insurance strategies are largely explained by their actual insurance experience as captured by these three variables. Individuals with loss rations greater than 1 do not show more responsiveness that those facing more balanced... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Agricultural insurance; Insurance demand models; Spain; Risk and Uncertainty; G22; Q12; Q14. |
| Ano: 2007 |
URL: http://purl.umn.edu/9266 |
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| Cummins, J. David; McDonald, James B.; Merrill, Craig. |
| Although an extensive literature has developed on modeling the loss reserve runoff triangle, the estimation of severity distributions applicable to claims settled in specific cells of the runoff triangle has received little attention in the literature. This paper proposes the use of a very flexible probability density function, the generalized beta of the 2nd kind (GB2) to model severity distributions in the cells of the runoff triangle and illustrates the use of the GB2 based on a sample of nearly 500,000 products liability paid claims. The results show that the GB2 provides a significantly better fit to the severity data than conventional distributions such as the Weibull, Burr 12, and generalized gamma and that modeling severity by cell is important to... |
| Tipo: Journal Article |
Palavras-chave: Loss distributions; Loss reserves; Generalized beta distribution; Liability insurance; Risk and Uncertainty; C16; G22. |
| Ano: 2007 |
URL: http://purl.umn.edu/50154 |
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| Registros recuperados: 25 | |
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