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  • 标题:A COMPARISON OF VARIOUS FRONTIER ESTIMATION METHODS UNDER DIFFERING DATA GENERATION ASSUMPTIONS
  • 本地全文:下载
  • 作者:Settlage, Daniel M. ; Dixon, Bruce L. ; Thomsen, Michael R.
  • 期刊名称:Journal of Agribusiness
  • 印刷版ISSN:0738-8950
  • 出版年度:2000
  • 期号:suppl
  • 出版社:Journal of Agribusiness
  • 摘要:Monte Carlo methods examine the accuracy of several production frontier approximating forms, estimators and methods to rank firms by level of predicted technical efficiency. Results show stochastic frontier methods superior to data envelopment analysis. The Cobb-Douglas approximating form is superior to the translog or generalized Leontief.
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