Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Ordenar por: 

RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 4
Primeira ... 1 ... Última
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
Using a Farmer's Beta for Improved Estimation of Expected Yields AgEcon
Carriquiry, Miguel A.; Babcock, Bruce A.; Hart, Chad E..
Effects of sampling error in estimation of farmers’ mean yields for crop insurance purposes and their implications for actuarial soundness are explored using farm-level corn yield data in Iowa. Results indicate that sampling error, combined with nonlinearities in the indemnity function, leads to empirically estimated insurance rates that exceed actuarially fair values. The difference depends on the coverage level, the number of observations used, and the participation strategy followed by farmers. A new estimator for mean yields based on the decomposition of farm yields into systemic and idiosyncratic components is proposed, which could lead to improved rate-making and reduce adverse selection.
Tipo: Journal Article Palavras-chave: Actual production history (APH); Adverse selection; Crop insurance; Mean yields estimation; Sampling error; Crop Production/Industries; Farm Management.
Ano: 2008 URL: http://purl.umn.edu/36707
Imagem não selecionada

Imprime registro no formato completo
Do Inspection and Traceability Provide Incentives for Food Safety? AgEcon
Starbird, S. Andrew; Amanor-Boadu, Vincent.
One of the goals of inspection and traceability is to motivate suppliers to deliver safer food. The ability of these policies to motivate suppliers depends on the accuracy of the inspection, the cost of failing inspection, the cost of causing a foodborne illness, and the proportion of these costs paid by the supplier. We develop a model of the supplier's expected cost as a function of inspection accuracy, the cost of failure, and the proportion of the failure cost that is allocated to suppliers. The model is used to identify the conditions under which the supplier is motivated to deliver uncontaminated lots. Surprisingly, our results show that when safety failure costs can be allocated to suppliers, minimum levels of inspection error are required to...
Tipo: Journal Article Palavras-chave: Diagnostic error; Food safety; Inspection; Sampling error; Traceability; Food Consumption/Nutrition/Food Safety.
Ano: 2006 URL: http://purl.umn.edu/10143
Imagem não selecionada

Imprime registro no formato completo
SAMPLING DENSITY FOR CHARACTERIZING THE PHYSICAL QUALITY OF A SOIL UNDER COFFEE CULTIVATION IN SOUTHWESTERN MINAS GERAIS REA
Silvero,Nélida E. Q.; Marques Júnior,José; Siqueira,Diego S.; Gomes,Romário P.; Costa,Milene M. R..
ABSTRACT The elaboration of maps to characterize the spatial variability of soil attributes assists in the strategic planning and decision making of agricultural managers. Precision and accuracy of maps are related to the ideal sampling density to characterize the variability pattern. This study was conducted with the aim of identifying the sampling density to represent the variability of soil physical quality using attributes with different magnitudes of variation in an area cultivated with coffee. Three approaches were used to find the most adequate sampling density (geostatistical analysis, percentage of error associated with the sampling density, and coefficient of variation). A total of 145 soil samples were collected at a depth of 0-0.20 m at the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Precision agriculture; Coffea arabica; Sampling error; Geostatistics.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162018000500718
Registros recuperados: 4
Primeira ... 1 ... 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