Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Ordenar por: 

RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 114
Primeira ... 123456 ... Última
Imagem não selecionada

Imprime registro no formato completo
Village and Household Economies in India's Semi-arid Tropics Open Agri
S..
Palavras-chave: Tropical zones; Economic systems; Nutritional status (soil); Crop insurance; Arid zones; Nutrient intake; Manpower; Insurance; Sorghum.
Ano: 1984 URL: http://agropedia.iitk.ac.in/openaccess/?q=node/4076
Imagem não selecionada

Imprime registro no formato completo
PREMIUM RATES FOR YIELD GUARANTEE AND INCOME PROTECTION CROP INSURANCE FOR GEORGIA AND SOUTH CAROLINA PEACHES AgEcon
Miller, Stephen E.; Kahl, Kandice H.; Rathwell, P. James.
We estimate actuarially sound premium rates for individual yield guarantee and income protection crop insurance products for Georgia and South Carolina peaches. In most cases, the premium rate for an income protection product equals or exceeds the premium rate for an individual yield guarantee product for a given coverage level and average farm yield. Although the premium rates for the two products differ in a statistical sense, they do not appear to differ in an economic sense except at high coverage levels for growers with very high yields.
Tipo: Conference Paper or Presentation Palavras-chave: Crop insurance; Yield guarantee; Income protection; Peaches; Crop Production/Industries; Risk and Uncertainty.
Ano: 1999 URL: http://purl.umn.edu/21699
Imagem não selecionada

Imprime registro no formato completo
Using a Farmer's Beta for Improved Estimation of Actual Production History (APH) Yields AgEcon
Carriquiry, Miguel A.; Babcock, Bruce A.; Hart, Chad E..
The effect of sampling error in estimation of farmers' mean yields for crop insurance purposes is explored using farm-level corn yield data in Iowa from 1990 to 2000 and Monte Carlo simulations. We find that sampling error combined with nonlinearities in the insurance indemnity function will result in empirically estimated crop insurance rates that exceed actuarially fair values by between 2 and 16 percent, depending on the coverage level and the number of observations used to estimate mean yields. Accounting for the adverse selection caused by sampling error results in crop insurance rates that will exceed fair values by between 42 and 127 percent. We propose a new estimator for mean yields based on a common decomposition of farm yields into systemic and...
Tipo: Working or Discussion Paper Palavras-chave: Actual production history (APH); Crop insurance; Mean yields estimation; Sampling error; Farm Management.
Ano: 2005 URL: http://purl.umn.edu/18600
Imagem não selecionada

Imprime registro no formato completo
WEATHER DERIVATIVES AND SPECIFIC EVENT RISK AgEcon
Turvey, Calum G..
This paper investigates the relationship between weather events and agricultural risks. Specific event risks are defined by outcomes related to a specific event such as low temperature and rainfall. Using Ontario data this paper describes specific events and shows how these specific events can be insured using weather derivatives and insurance.
Tipo: Conference Paper or Presentation Palavras-chave: Heat insurance; Rainfall insurance; Weather derivatives; Weather options; Crop insurance; Agricultural risk; Risk and Uncertainty.
Ano: 1999 URL: http://purl.umn.edu/21550
Imagem não selecionada

Imprime registro no formato completo
Impacts of the SURE Standing Disaster Assistance Program on Producer Risk Management and Crop Insurance Programs AgEcon
Anderson, John D.; Barnett, Barry J.; Coble, Keith H..
This research investigates the potential effects of the row crop provisions of the standing disaster assistance program (SURE) in the 2008 Farm Bill. Results suggest little impact on producer crop insurance purchase decisions, though the program does seem to provide an incentive for mid-level coverage. Payments under the program should be expected to differ considerably across geographic regions and levels of diversification, with the program providing the greatest benefit to undiversified producers in more risky production regions.
Tipo: Conference Paper or Presentation Palavras-chave: Crop insurance; Disaster assistance; Farm Bill; SURE; Agricultural and Food Policy; Farm Management; Risk and Uncertainty; Q12; Q18.
Ano: 2009 URL: http://purl.umn.edu/49304
Imagem não selecionada

Imprime registro no formato completo
Testing Day’s Conjecture that More Nitrogen Decreases Crop Yield Skewness AgEcon
Du, Xiaodong; Hennessy, David A.; Yu, Cindy L..
While controversy surrounds skewness attributes of typical yield distributions, a better understanding is important for agricultural policy assessment and for crop insurance rate setting. Day (1965) conjectured that crop yield skewness declines with an increase in low levels of nitrogen use, but higher levels have no effect. In a theoretical model based on the law of the minimum (von Liebig) technology, we find conditions under which Day’s conjecture applies. Employing four experimental plot datasets, we investigate the conjecture by introducing (a) a flexible Bayesian extension of the Just-Pope technology to incorporate skewness, and (b) a quantile-based measure of skewness shift. For corn yields, the Bayesian estimation provides strong evidence in favor...
Tipo: Working or Discussion Paper Palavras-chave: Crop insurance; Gibbs sampler; Just and Pope technology; Negative skewness; Quantile regression.; Crop Production/Industries; Political Economy; Research Methods/ Statistical Methods; Risk and Uncertainty.
Ano: 2010 URL: http://purl.umn.edu/93471
Imagem não selecionada

Imprime registro no formato completo
Current Issues in Crop Insurance (PowerPoint) AgEcon
Anderson, Richard.
Tipo: Conference Paper or Presentation Palavras-chave: Crop insurance; Risk; Risk Management Agency; Risk and Uncertainty; D81.
Ano: 2009 URL: http://purl.umn.edu/48909
Imagem não selecionada

Imprime registro no formato completo
Constructing Farm Level Yield Densities from Aggregated Data: Analysis and Comparison of Approaches AgEcon
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
Imagem não selecionada

Imprime registro no formato completo
Actuarial Impacts of Loss Cost Ratio Ratemaking in U.S. Crop Insurance Programs AgEcon
Woodard, Joshua D.; Sherrick, Bruce J.; Schnitkey, Gary D..
This study examines the actuarial implications of the loss cost ratio (LCR) ratemaking methodology employed by the Risk Management Agency as a component of base rates for U.S. crop insurance programs, and identifies specific conditions required for the LCR methodology to result in unbiased rates when liabilities trend. Specifically, constant relative yield risk resulting in growing absolute variance through time and other restrictive requirements are required for the LCR to result in unbiased rates. These requirements are tested against a large farm-level data set for Illinois corn. Our findings indicate that the conditions required for appropriate use of the LCR methodology are violated for this high premium volume market, resulting in large implied rate...
Tipo: Journal Article Palavras-chave: Actuarially fair; Crop insurance; Insurance rating; Loss cost ratio; Risk growth; Risk Management Agency; Yield trends; Crop Production/Industries; Risk and Uncertainty.
Ano: 2011 URL: http://purl.umn.edu/105550
Imagem não selecionada

Imprime registro no formato completo
REVENUE INSURANCE FOR GEORGIA AND SOUTH CAROLINA PEACHES AgEcon
Miller, Stephen E.; Kahl, Kandice H.; Rathwell, P. James.
We estimate actuarially fair premium rates for yield and revenue insurance for Georgia and South Carolina peaches. The premium rates for both products decrease at a decreasing rate as the mean farm-level yield increases. In general, the premium rate for revenue insurance exceeds the premium rate for yield insurance for a given coverage level and expected yield. Although the revenue and yield insurance rates differ in a statistical sense, they do not appear to differ in an economic sense except at high coverage levels for growers with very high yields.
Tipo: Journal Article Palavras-chave: Crop insurance; Peaches; Revenue insurance; Yield insurance; Risk and Uncertainty.
Ano: 2000 URL: http://purl.umn.edu/15391
Imagem não selecionada

Imprime registro no formato completo
Modeling Texas Dryland Cotton Yields, With Application to Crop Insurance Actuarial Rating AgEcon
Chen, Shu-Ling; Miranda, Mario J..
Texas dryland upland cotton yields have historically exhibited greater variation and more distributional irregularities than the yields of other crops, raising concerns that conventional parametric distribution models may generate biased or otherwise inaccurate crop insurance premium rate estimates. Here, we formulate and estimate regime-switching models for Texas dryland cotton yields in which the distribution of yield is conditioned on local drought conditions. Our results indicate that drought-conditioned regime-switching models provide a better fit to Texas county-level dryland cotton yields than conventional parametric distribution models. They do not, however, generate significantly different Group Risk Plan crop insurance premium rate estimates.
Tipo: Journal Article Palavras-chave: Actuarial rating; Adverse selection; Cotton; Crop insurance; Group risk plan; Regime-switching; Yield distribution; Agribusiness; Crop Production/Industries; Farm Management; Q10; Q14; Q18.
Ano: 2008 URL: http://purl.umn.edu/45522
Imagem não selecionada

Imprime registro no formato completo
A choice experiment method to assess vegetables producers’ preferences for crop insurance AgEcon
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
Imagem não selecionada

Imprime registro no formato completo
Modeling Crop prices through a Burr distribution and Analysis of Correlation between Crop Prices and Yields using a Copula method. AgEcon
Tejeda, Hernan A.; Goodwin, Barry K..
Replaced with revised version of paper 07/18/08.
Tipo: Conference Paper or Presentation Palavras-chave: Crop insurance; Burr XII distribution; Copula methods; Indemnity payouts; Crop Production/Industries; Demand and Price Analysis.
Ano: 2008 URL: http://purl.umn.edu/6061
Imagem não selecionada

Imprime registro no formato completo
Modeling the Crop Insurance Industry Portfolio Gains and Losses (PowerPoint) AgEcon
Vergara, Oscar; Zuba, Gerhard; Seaquist, Jack.
Powerpoint slide show presenting information about AIR (the first catastrophic modeling company), weather-based yield models, agricultural portfolio loss model, and applications to crop insurance/reinsurance.
Tipo: Conference Paper or Presentation Palavras-chave: Risk; Crop insurance; Reinsurance; Modeling; Agricultural loss; Loss model; Yield model; Risk and Uncertainty.
Ano: 2008 URL: http://purl.umn.edu/43766
Imagem não selecionada

Imprime registro no formato completo
EVALUATION OF CROP INSURANCE PREMIUM RATES FOR GEORGIA AND SOUTH CAROLINA PEACHES AgEcon
Miller, Stephen E.; Kahl, Kandice H.; Rathwell, P. James.
We estimate actuarially fair premium rates for yield insurance for Georgia and South Carolina peaches for comparison to the premium rates established by the Risk Management Agency (RMA) for the 1999 crop. The RMA premium rates varied from county to county, but were identical for all growers in a given county. The estimated premium rates decrease with the grower's expected yield. The RMA rate structure encouraged adverse selection, as premium rates were too low for growers with low expected yields (especially at low coverage levels) and were too high for growers with high expected yields (especially at high coverage levels).
Tipo: Journal Article Palavras-chave: Adverse selection; Crop insurance; Peaches; Premium rate; Yield guarantee; Risk and Uncertainty.
Ano: 2000 URL: http://purl.umn.edu/14711
Imagem não selecionada

Imprime registro no formato completo
A Portrait of Participants in Crop Insurance Programs AgEcon
Nimpagaritse, Fabrice.
Farm Analysis Bulletins (FAB) are undertaken to provide a better understanding of Canadian agriculture at the farm level. Using data from various sources such as Census, Farm Financial Surveys (FFS), Taxfiler, NISA database, etc, FAB's provide information on farm situation as well as highlighting and discussing farm related issues. By using the Farm Financial Surveys (1999 to 2004), this bulletin provides characteristics of farmers participating in crop insurance programs. Charts and tables with a brief accompanying text are used to describe participants in crop insurance. Participation rate in crop insurance has grown slightly from 49% in 1999 to 53% in 2003.Grains and oilseeds farms are more likely to participate in crop insurance programs than other...
Tipo: Report Palavras-chave: Crop insurance; Crop insurance programs; Risk management; Risk protection; Agribusiness; Agricultural and Food Policy; Agricultural Finance; Farm Management; Financial Economics.
Ano: 2005 URL: http://purl.umn.edu/53099
Imagem não selecionada

Imprime registro no formato completo
Portfolio Allocation and Alternative Structures of the Standard Reinsurance Agreement AgEcon
Vedenov, Dmitry V.; Miranda, Mario J.; Dismukes, Robert; Glauber, Joseph W..
This paper examines how insurance companies participating in delivery of crop insurance would change patterns of portfolio allocation across reinsurance funds in reaction to the 2005 Standard Reinsurance Agreement. The returns of insurance companies under the SRA are calculated using a simulation model. An heuristic allocation rule is introduced in order to imitate portfolio allocation strategies of participating companies. The main conclusion of the analysis is that the bulk of changes in portfolio allocations are likely to be caused by the introduction of "retained net book quota share" reinsurance rather than adjustments in the cession limits and retention requirements for the Assigned Risk Fund.
Tipo: Journal Article Palavras-chave: Crop insurance; Portfolio allocation strategies; Reinsurance funds; Standard Reinsurance Agreement; Risk and Uncertainty.
Ano: 2006 URL: http://purl.umn.edu/10145
Imagem não selecionada

Imprime registro no formato completo
Land Use Consequences of Crop Insurance Subsidies AgEcon
Miao, Ruiqing; Feng, Hongli; Hennessy, David A..
There have long been concerns that federal crop insurance subsidies may significantly impact land use decisions. It is well known that classical insurance market information asymmetry problems can lead to a social excess of risky land entering crop production. Our conceptual model shows that the problem will arise absent any information failures. This is because the subsidy is i) proportional to acres planted, and ii) greatest for the most production risky land. Using farm-level data, we follow this observation through to establish the implications of subsidies for the extent of crop production, with particular emphasis on U.S. regions where the cropland growth is likely to have marked adverse environmental impacts. Simulation results show that when...
Tipo: Working or Discussion Paper Palavras-chave: Crop insurance; Land use; Crop yields; Yield risk measurement; Agricultural and Food Policy; Crop Production/Industries; Land Economics/Use; Q15; Q18; Q24.
Ano: 2011 URL: http://purl.umn.edu/103891
Imagem não selecionada

Imprime registro no formato completo
Optimal Coverage Level Choice with Individual and Area Plans of Insurance AgEcon
Bulut, Harun; Collins, Keith J.; Zacharias, Thomas P..
We theoretically examine a farmer’s coverage demand with area and individual insurance plans as either separate or integrated options. The individual and area losses are assumed to be imperfectly and positively correlated. With actuarially fair rates, the farmer will fully insure with the individual plan and demand no area insurance regardless of the plans being separate or integrated. Under separate plans, free area insurance and the fair rate for individual insurance, area insurance replaces a portion of individual insurance demand. Under integrated plans, free area insurance, and the fair rate for individual insurance, the farmer will over-insure with individual plan and demand additional area insurance.
Tipo: Conference Paper or Presentation Palavras-chave: Agricultural risk; Area plans of insurance; Crop insurance; Agricultural and Food Policy; Agricultural Finance; Crop Production/Industries; Demand and Price Analysis; Farm Management; Financial Economics; Industrial Organization; Marketing; Production Economics; Research Methods/ Statistical Methods; Risk and Uncertainty; D81; G22; Q12; Q18.
Ano: 2011 URL: http://purl.umn.edu/103185
Imagem não selecionada

Imprime registro no formato completo
Optimal Coverage Level Choice with Individual and Area Plans of Insurance AgEcon
Bulut, Harun; Collins, Keith J.; Zacharias, Thomas P..
We theoretically examine a farmer’s coverage demand with area and individual insurance plans as either separate or integrated options. The individual and area losses are assumed to be imperfectly and positively correlated. With actuarially fair rates, the farmer will fully insure with the individual plan and demand no area insurance regardless of the plans being separate or integrated. Under separate plans, free area insurance and the fair rate for individual insurance, area insurance replaces a portion of individual insurance demand. Under integrated plans, free area insurance, and the fair rate for individual insurance, the farmer over-insures using both area and individual plans.
Tipo: Conference Paper or Presentation Palavras-chave: Agricultural risk; Area plans of insurance; Crop insurance; Agribusiness; Agricultural and Food Policy; Agricultural Finance; Crop Production/Industries; Demand and Price Analysis; Farm Management; Research Methods/ Statistical Methods; Risk and Uncertainty; D81; G22; Q12; Q18.
Ano: 2011 URL: http://purl.umn.edu/98803
Registros recuperados: 114
Primeira ... 123456 ... Última
 

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área restrita

Embrapa
Parque Estação Biológica - PqEB s/n°
Brasília, DF - Brasil - CEP 70770-901
Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional