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
A MONTE CARLO COMPARISON OF ALTERNATIVE ESTIMATORS OF AUTOCORRELATED SIMULTANEOUS SYSTEMS USING A U.S. PORK SECTOR MODEL AS THE TRUE STRUCTURE AgEcon
Naik, Gopal; Dixon, Bruce L..
Monte Carlo analysis of the performance of alternative estimators of simultaneous system's coefficients in the presence of autocorrelation is performed. The "true" underlying model is an estimated, three-equation, monthly model of the U.S. pork market. Estimators for ex post forecasts are also compared. Multicollinearity is found to be a salient characteristic likely adversely affecting estimator performance. Results show that correcting for autocorrelation is desirable when levels of autocorrelation are high for both parameter accuracy and ex post forecasting. However, the best structural coefficient estimator for high levels of autocorrelation is not necessarily the best estimator for ex post forecasting.
Tipo: Journal Article Palavras-chave: Livestock Production/Industries; Research Methods/ Statistical Methods.
Ano: 1986 URL: http://purl.umn.edu/32250
Imagem não selecionada

Imprime registro no formato completo
Markets, Institutions, and the Quality of Agricultural Products: Cotton Quality in India AgEcon
MacDonald, Stephen; Naik, Gopal; Landes, Rip.
The modern global textile industry requires cotton with strong and consistent fibers in order to produce high quality goods at the high speeds necessary to recover capital costs. The introduction of high volume instrument (HVI) measurement of cotton fiber quality has strengthened the link between cotton prices and attributes on world markets. The spread of genetically modified (GMO) cotton in India has driven India to the second ranked producer and exporter of cotton in the world. However, contamination and other quality problems are endemic to Indian cotton. Using a unique data set of Indian cotton prices and quality attributes from 5 Indian states, this study uses hedonic price modeling to demonstrate that the linkages between cotton quality and price...
Tipo: Conference Paper or Presentation Palavras-chave: Crop Production/Industries; Production Economics.
Ano: 2010 URL: http://purl.umn.edu/61854
Imagem não selecionada

Imprime registro no formato completo
A NOTE ON THE FACTORS AFFECTING CORN BASIS RELATIONSHIPS AgEcon
Naik, Gopal; Leuthold, Raymond M..
Empirical tests were made of components of the corn basis in the U.S. utilizing a general theory of intertemporal price relationships for storable commodities. These tests showed that the basis consists of a risk premium, a speculative component, and a maturity basis apart from other factors such as storage costs for storable commodities. The results provide insights into factors affecting basis patterns for corn.
Tipo: Journal Article Palavras-chave: Demand and Price Analysis.
Ano: 1991 URL: http://purl.umn.edu/30309
Imagem não selecionada

Imprime registro no formato completo
CASH AND FUTURES PRICE RELATIONSHIPS FOR NONSTORABLE COMMODITIES: AN EMPIRICAL ANALYSIS USING A GENERAL THEORY AgEcon
Naik, Gopal; Leuthold, Raymond M..
Empirical analysis examines the presence of basis risk, speculative component, and expected maturity basis component in basis relationships for nonstorable commodities. The results indicate that all three above components exist in both cattle and hog markets. The basis risk and speculative components vary across contracts. Hog markets showed seasonality, which helps explain the hog basis more accurately. Flexibility in making the marketing decision strengthens the explanation of intertemporal price relationships for both cattle and hogs beyond that previously attributed to only feed prices.
Tipo: Journal Article Palavras-chave: Demand and Price Analysis; Marketing.
Ano: 1988 URL: http://purl.umn.edu/32106
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