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文章基本信息

  • 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 Food Distribution Research
  • 印刷版ISSN:0047-245X
  • 出版年度:2000
  • 期号:SUPPL
  • 出版社:Food Distribution Research Society
  • 摘要:Monte Carlo methods examine the accuracy of several production frontier approximatingforms, estimators and methods to rank firms by level of predicted technical efficiency. Resultsshow stochastic frontier methods superior to data envelopment analysis. The Cobb-Douglasapproximating form is superior to the translog or generalized Leontief.
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