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| Registros recuperados: 114 | |
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| Mercade, Lluc; Gil, Jose Maria; Kallas, Zein; Serra, Jordi. |
| Agricultural producers face many risks in their economic activity due to weather conditions, plant or animal diseases, price volatility, policy changes and so on. One of the management tools to deal with some of these risks is the crop insurance system. In Catalonia (North-East of Spain) farmers’ participation in crop insurance for vegetables is low. Only 5 percent of the vegetables area is insured, when in Spain, as a whole, this percentage is around 20 percent. Different reasons have been suggested to explain this low participation ratio such as low risk perception, risk diversification, insurance cost or crop damage assessment rules, among others. However, no systematic research has been undertaken to assess farmers’ preferences for crop insurance in... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Crop insurance; Vegetables; Choice experiments; Catalonia.; Agricultural and Food Policy; Food Consumption/Nutrition/Food Safety. |
| Ano: 2009 |
URL: http://purl.umn.edu/58090 |
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| 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 |
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| 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 |
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| Ozaki, Vitor Augusto. |
| This paper analyses the spatial pattern of the agricultural yield data. Using the spatial statistics, it is possible to estimate some parameters of the semivariogram to study the problem of the systemic risk, which has great implications for the crop insurance program in Brazil. In particular, the “range” parameter was estimated. This parameter measures the distance, in which the spatial correlation tends to zero. For the empirical analysis, county yield data was used provided by IBGE, for soybean and corn, in the state of Paraná, through 1990 and 2002. The results showed that there is spatial dependence in every year analysed, going to zero in relatively long distances (in km). |
| Tipo: Journal Article |
Palavras-chave: Crop insurance; Systemic risk; Spatial correlation; Semivarioram.; Agribusiness; Q19. |
| Ano: 2008 |
URL: http://purl.umn.edu/61239 |
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| Babcock, Bruce A.; Hart, Chad E.. |
| The Agricultural Risk Protection Act (ARPA) has largely met its objectives of inducing farmers to increase their use of the crop insurance program. Both insured acreage and coverage levels have increased dramatically in response to ARPA's large increase in premium subsidies. An unintended consequence of the larger subsidies is a dramatic increase in the incentive for farmers to insure their crops under optional units, that is, insurance at the field level rather than at the farm or crop level. The expected rate of return to farmers who choose to invest additional premium dollars to move to optional unit coverage ranges from a low of 61 percent at the 85 percent coverage level to 144 percent at the 65 percent coverage level. This explains why the majority... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Agricultural Risk Protection Act (ARPA); Crop insurance; Optional units; Crop Production/Industries; Risk and Uncertainty. |
| Ano: 2005 |
URL: http://purl.umn.edu/18297 |
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| Berg, Ernst. |
| This paper investigates the farm level impacts of multiple peril yield and revenue insurance in an expected value-variance framework. The analysis is conducted using stochastic simulation jointly with numerical optimisation. Simulation is used to compute the means and variances of revenues as affected by the insurance schemes under consideration. In a second step these results are incorporated in a whole-farm programming approach, which optimises a portfolio that consists of crop production and insurance activities. The results of a case study indicate that from the farmer's point of view there is an incentive to buy multiple peril crop insurance, because it significantly reduces the variability of income. The risk reduction through insurance in turn leads... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Crop insurance; Risk management; Portfolio selection; Stochastic programming; Expected value-variance analysis; Risk and Uncertainty. |
| Ano: 2002 |
URL: http://purl.umn.edu/24834 |
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| Makki, Shiva S.; Somwaru, Agapi. |
| This report analyzes farmers' choice of crop insurance contracts and tests for the presence of asymmetric information in the market for multiple yield and revenue insurance products. Farmers' risk characteristics, their level of income, and the cost of insurance significantly affect their choices of yield and revenue insurance products as well as their selections of alternative coverage levels. Empirical analysis indicates that, in the presence of asymmetric information, high-risk farmers are more likely to select revenue insurance contracts and higher coverage levels. The results also indicate that premium rates do not accurately reflect the likelihood of losses, implying asymmetrical information in the crop insurance market. |
| Tipo: Report |
Palavras-chave: Asymmetric information; Adverse selection; Crop insurance; Revenue insurance; Risk management; Risk and Uncertainty. |
| Ano: 2001 |
URL: http://purl.umn.edu/33587 |
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| Dismukes, Robert; Harwood, Joy L.; Bentley, Susan E.. |
| Small U.S. farms and those run by socially disadvantaged minority operators tend not to purchase insurance or to participate in insurance-type programs operated by USDA. This report traces the lack of use of such risk management measures to several characteristics of such farmers, who include females, blacks, American Indians, Asian/Pacific Islanders, and operators of Spanish origin. These farmers tend, more than the typical U.S. farm, to raise livestock rather than crops, and there are no government-sponsored insurance-type programs for livestock. |
| Tipo: Report |
Palavras-chave: Risk management; Crop insurance; Limited-resource farmers; Limited-opportunity farmers; Small farms; Socially disadvantaged farmers; Farm Management; Risk and Uncertainty. |
| Ano: 1997 |
URL: http://purl.umn.edu/33622 |
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| Cooper, Joseph C.; Langemeier, Michael R.; Schnitkey, Gary D.; Zulauf, Carl R.. |
| Yield variability can be significantly higher at the farm level than at more aggregated levels, including the county. However, due to a dearth of available farm level data, much stochastic analysis involving farm yields utilizes more aggregated yield data as a proxy for the farm level. We empirically evaluate farm-level variability using longitudinal farm level data sets available from the Kansas Farm Management Association and the Illinois Farm Business and Farm Management Association. For corn, soybeans, and wheat, we compare the farm level yield variability obtained from this data to that inferred from Federal crop insurance premiums. The farm management data exhibit lower yield variability than are implied by the crop insurance premiums. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Yield variability; Crop insurance; Corn; Wheat; Soybeans; Agricultural and Food Policy; Crop Production/Industries; Research Methods/ Statistical Methods; Risk and Uncertainty. |
| Ano: 2009 |
URL: http://purl.umn.edu/49216 |
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| 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 |
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| Registros recuperados: 114 | |
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