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	Provedor de dados AgEcon (2) Autor Caffey, Rex H. (1) Devkota, Nirmala (1) Fannin, James Matthew (1) Hall, Larry M. (1) Johansson, Helena (1) Paudel, Krishna P. (1) Mais... Palavra-chave Stochastic frontier approach (2) Allocative efficiency (1) C14 (1) C23 (1) C24 (1) Calibration (1) Data envelopment analysis (1) Economic efficiency (1) Livestock Production/Industries (1) Online survey (1) Onsite survey (1) Research Methods/ Statistical Methods (1) Resource /Energy Economics and Policy (1) Technical efficiency (1) Mais... Tipo do documento Conference Paper or Presentation (2) Ano 2007 (1) 2005 (1) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Calibrating Online Survey Sample for Economic Impact Analysis AgEcon Devkota, Nirmala; Paudel, Krishna P.; Fannin, James Matthew; Hall, Larry M.; Caffey, Rex H.. Online surveys have emerged as low-cost data collection approach in empirical researches; however, the validity of data remains questionable. Therefore, we employed a stochastic frontier estimation method to calibrate online recreational expenditure. Study results suggested the presence of inefficiency on online surveys. Analysis was extended to estimate economic impact of nature based recreation on a local economy. Tipo: Conference Paper or Presentation Palavras-chave: Calibration; Online survey; Onsite survey; Stochastic frontier approach; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy. Ano: 2007 URL: http://purl.umn.edu/34997 Technical, Allocative, and Economic Efficiency in Swedish Dairy Farms: The Data Envelopment Analysis Versus the Stochastic Frontier Approach AgEcon Johansson, Helena. Technical, allocative, and economic input efficiency scores were estimated for an unbalanced panel of Swedish dairy farms, using data envelopment analysis (DEA) and the stochastic frontier approach (SFA). By comparing the results it was concluded that when the entire dairy farm is studied the DEA is more appropriate to use since it does not require any particular parametric form to be chosen. The average DEA technical, allocative and economic efficiency indices were eventually found to be 0.77, 0.57, and 0.43 respectively. The influence of size on the efficiency scores was analyzed and significant evidence indicating a positive relationship between size and efficiency was found. Finally it was concluded that the main challenge facing the Swedish dairy... Tipo: Conference Paper or Presentation Palavras-chave: Technical efficiency; Allocative efficiency; Economic efficiency; Data envelopment analysis; Stochastic frontier approach; Livestock Production/Industries; C14; C23; C24. Ano: 2005 URL: http://purl.umn.edu/24478 Registros recuperados: 2 Primeira ... 1 ... Última

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