文章基本信息

标题：PRESENCE OF STOCHASTIC ERRORS IN THE INPUT DEMANDS: ARE DUAL AND PRIMAL ESTIMATIONS EQUIVALENT?
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作者：Bittencourt, Maurício Vaz Lobo
期刊名称：Journal of Agribusiness
印刷版ISSN：0738-8950
出版年度：2003
期号：suppl
出版社：Journal of Agribusiness
摘要：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.
关键词：stochastic errors;input demands;dual;primal;policy implication;Monte Carlo simulation.