602 research outputs found

    Evaluating a Proposed Modification to Federal Crop Insurance

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    A proposed modification to the Federal Crop Insurance Program would allow crop producers to simultaneously purchase both a farm-level crop insurance policy and a supplemental county-level crop insurance policy. This study evaluates this proposal for representative cotton farms in Georgia. The goal is to test whether the additional risk protection provided by the supplemental policy is considered to be worth the additional cost.certainty peril crop insurance, Risk and Uncertainty,

    Evaluating Agricultural Banking Efficiency Using the Fourier Flexible Functional Form

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    This study applied more flexible cost functional form, Fourier Flexible Functional Form, and tested the validity of the Translog cost functional form as to estimate the cost function incorporating risk and loan's quality for banking industry. Meanwhile, the study extended four different cost efficiency measures for banking industry not only among different sized banks but also between commercial banks and agricultural banks. And thereafter, by evaluating these efficiency measures, banks will identify sources of inefficiency, which should aid banks in developing approaches to improve their operational policies, procedures, and performance.Agricultural Finance,

    TESTING THE VIABILITY OF AREA YIELD INSURANCE FOR COTTON AND SOYBEANS IN THE SOUTHEAST

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    GRP is essentially a put option on the NASS estimate of the county average yield. Purchasers of GRP are exposed to geographic basis risk. This study uses farm- and county-level yield data to examine the viability of area yield insurance for cotton and soybean farms in the southeastern U.S.Risk and Uncertainty,

    Managing Crop Production Risk with Crop Index Insurance Products

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    Index crop insurance products can eliminate the asymmetric information problem inherent in farm-level multiple peril crop insurance. Purchasers of index insurance products are, however, exposed to basis risk. This study examines the feasibility of various index insurance products for corn farms in southern Georgia. Index insurance products considered are based on county yields, cooling degree days, and predicted yields from a crop simulation model.Risk and Uncertainty,

    DISCRETE AND CONTINUOUS TIME MODELS FOR FARM CREDIT MIGRATION ANALYSIS

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    This paper introduces two continuous time models, i.e. time homogenous and non-homogenous Markov chain models, for analyzing farm credit migration as alternatives to the traditional discrete time model cohort method. Results illustrate that the two continuous time models provide more detailed, accurate and reliable estimates of farm credit migration rates than the discrete time model. Metric comparisons among the three transition matrices show that the imposition of the potentially unrealistic assumption of time homogeneity still produces more accurate estimates of farm credit migration rates, although the equally reliable figures under the non-homogenous time model seem more plausible given the greater relevance and applicability of the latter model to farm business conditions.Agricultural Finance,

    THI APPLICATION TO INSURING AGAINST HEAT STRESS IN DAIRY COWS

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    Heat stress is associated with reduced milk production in dairy cows. Insurance instruments based on an index of ambient temperature and relative humidity measured at Macon, Georgia and Tallahassee, Florida are shown to reduce net revenue risk for a representative farm in south-central Georgia.Risk and Uncertainty,

    Evaluating the Efficiency of Crop Index Insurance Products

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    Index crop insurance products can eliminate the asymmetric information problem inherent in farm-level multiple peril crop insurance. Purchasers of index insurance products are, however, exposed to basis risk. This study evaluates the efficiency of various index insurance products to reduce farm yield loss for representative corn farms in southern Georgia. Index insurance products considered are based on county yields, cooling degree days, and predicted yields from a crop simulation model.Crop Production/Industries, Risk and Uncertainty,
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