Home Itens selecionados Provedores de dados OAI Créditos Sobre Ajuda

			Busca avançada
	Provedor de dados AgEcon (6) Autor Cramer, Gail L. (6) Wailes, Eric J. (4) Annou, Mamane Malam (1) Fang, Cheng (1) Gao, Xiaoming (1) Guru, Manjula V. (1) Han, Tong (1) Hansen, James M. (1) Susanto, Dwi (1) Thomsen, Michael R. (1) Wahl, Thomas I. (1) Zapata, Hector O. (1) Mais... Palavra-chave Agricultural and Food Policy (1) Consumer/Household Economics (1) Crop Production/Industries (1) Demand and Price Analysis (1) Double hurdle (1) Environmental Economics and Policy (1) Farm Management (1) Food Consumption/Nutrition/Food Safety (1) Non-normal error distribution (1) Pesticide regulation (1) Research Methods/ Statistical Methods (1) Research and Development/Tech Change/Emerging Technologies (1) Rice demand (1) Mais... Tipo do documento Conference Paper or Presentation (3) Working or Discussion Paper (2) Journal Article (1) Ano 2004 (1) 2001 (1) 1999 (1) 1998 (1) 1997 (1) 1995 (1) Mais... País United States (6) Idioma Inglês (6)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 6 Primeira ... 1 ... Última China's Rural and Urban Household Survey Data: Collection, Availability, and Problems AgEcon Fang, Cheng; Wailes, Eric J.; Cramer, Gail L.. Tipo: Working or Discussion Paper Palavras-chave: Consumer/Household Economics. Ano: 1998 URL: http://purl.umn.edu/18412 DOUBLE-HURDLE MODEL WITH BIVARIATE NORMAL ERRORS: AN APPLICATION TO U.S. RICE DEMAND AgEcon Gao, Xiaoming; Wailes, Eric J.; Cramer, Gail L.. Per capita rice consumption in the U.S. has doubled over the past decade. The effects of social and demographic variables on the household's rice consumption decisions are analyzed along with income and price variables. A double-hurdle model is used to solve simultaneously the consumer decisions whether to purchase rice and how much. The joint decision hypothesis is tested and accepted. The non-normal distribution of error terms may be responsible for possible bias in the empirical test of the joint decision hypothesis. The hyperbolic sine transformation is used to correct the problem in this study prior to testing the joint decision hypothesis. Tipo: Journal Article Palavras-chave: Double hurdle; Non-normal error distribution; Rice demand; Crop Production/Industries; Demand and Price Analysis. Ano: 1995 URL: http://purl.umn.edu/15273 IMPACT OF PESTICIDE REGULATORY POLICIES ON U.S. RICE PRODUCTION AgEcon Guru, Manjula V.; Wailes, Eric J.; Cramer, Gail L.. This paper examines the costs and benefits of pesticide regulations on US rice production. Benefit - cost analysis of FIFRA (The Federal Insecticide, Fungicide, and Rodenticide Act) has been done taking into consideration the externality costs associated with the Endangered Species Act and the Worker Protection Standard, for which compliance under FIFRA has become mandatory since 1990. Tipo: Conference Paper or Presentation Palavras-chave: Pesticide regulation; Agricultural and Food Policy; Environmental Economics and Policy. Ano: 1999 URL: http://purl.umn.edu/21544 Rural Household Food Consumption in China: Evidence from the Rural Household Survey AgEcon Han, Tong; Cramer, Gail L.; Wahl, Thomas I.. Tipo: Conference Paper or Presentation Palavras-chave: Food Consumption/Nutrition/Food Safety. Ano: 1997 URL: http://purl.umn.edu/35797 BOOTSTRAPPING IN VECTOR AUTOREGRESSIONS: AN APPLICATION TO THE PORK SECTOR AgEcon Susanto, Dwi; Zapata, Hector O.; Cramer, Gail L.. Standard bootstrap method is used to generate confidence intervals (CIs) of impulse response functions of VAR and SVAR models in the pork sector. In the VAR model, the bootstrap method does not produce significant different results from Monte Carlo simulations. In the SVAR analysis, on the other hand, the bootstrap CIs are significantly different from Monte Carlo CIs after a six period forecast intervals. This suggests that the choice of method used to measure reliability of IRFs is not trivial. Furthermore, bootstrap CIs in SVAR model seem to be more stable than MC CIs, which tend to be wider in the longer horizons. Tipo: Conference Paper or Presentation Palavras-chave: Research Methods/ Statistical Methods. Ano: 2004 URL: http://purl.umn.edu/20051 IMPLICATIONS OF RICE BIOTECHNOLOGY ON OPTIMAL RICE CROP ROTATION IN THE MISSISSIPPI RIVER DELTA REGION AgEcon Annou, Mamane Malam; Thomsen, Michael R.; Hansen, James M.; Wailes, Eric J.; Cramer, Gail L.. Availability of new herbicide-resistant biotech rice varieties may affect traditional rice rotation practices to control red rice and enhance yields. This research evaluates the adoption of biotech rice and its effects on the current practice of crop rotation in the Mississippi River Delta region. The optimal utilization of biotech rice rotation is analyzed using a nonlinear mathematical programming model with mixed integers. Optimal rotation was found to be sensitive to the technology fee, relative prices received by farmers, the effectiveness of red rice control, and a sheath blight penalty on yield for continuous rice production. Tipo: Working or Discussion Paper Palavras-chave: Farm Management; Research and Development/Tech Change/Emerging Technologies. Ano: 2001 URL: http://purl.umn.edu/15774 Registros recuperados: 6 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