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	Provedor de dados AgEcon (1) Autor Bittencourt, Maurício Vaz Lobo (1) Palavra-chave Dual (1) Input demands (1) Monte Carlo simulation. (1) Policy implication (1) Primal (1) Research Methods/ Statistical Methods (1) Stochastic errors (1) Mais... Tipo do documento Conference Paper or Presentation (1) Ano 2003 (1) País United States (1) Idioma Inglês (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 1 Primeira ... 1 ... Última PRESENCE OF STOCHASTIC ERRORS IN THE INPUT DEMANDS: ARE DUAL AND PRIMAL ESTIMATIONS EQUIVALENT? AgEcon Bittencourt, Maurício Vaz Lobo. This study verifies the primal and dual approaches in presence of stochastic errors in output and input demands, and policy implications when such errors are not taken into account. A data set based on a representative agent behavior is created through Monte Carlo simulation and used to estimate econometrically the primal and dual functions associated to the technology chosen. Results show that both formulations are unbiased, consistent, and efficient. No consideration of these errors can lead to wrong policy recommendations in a productive sector. Any kind of policy created to improve the total production of a particular sector has to consider the issues so far discussed to avoid such bias problems and inefficiency before be applied to the real world. Tipo: Conference Paper or Presentation Palavras-chave: Stochastic errors; Input demands; Dual; Primal; Policy implication; Monte Carlo simulation.; Research Methods/ Statistical Methods. Ano: 2003 URL: http://purl.umn.edu/22096 Registros recuperados: 1 Primeira ... 1 ... Última

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