Estimation and inference in nonparametric frontier models : recent developments and perspectives

著者

• Simar, Léopold
• Wilson, Paul W.

書誌事項

Estimation and inference in nonparametric frontier models : recent developments and perspectives

Léopold Simar; Paul W. Wilson

（Foundations and trends in econometrics, 5:3-4）

now, c2013

• : pbk

注記

"This book is originally published as Foundations and trends in econometrics, Volume 5 issues 3-4, ISSN: 1551-3076"--Backcover

Includes bibliographical references (p. 149-158)

内容説明・目次

内容説明

Estimation and Inference in Nonparametric Frontier Models provides a thorough examination of this topic for students and researchers alike. While nonparametric estimators are widely used to estimate the Productive efficiency of firms and other organizations, it is often done without any attempt to make statistical inference. Recent work has provided statistical properties of these estimators and methods for making statistical inference has established a link between frontier estimation and extreme value theory. New estimators that avoid many of the problems inherent with traditional efficiency estimators have been developed and these new estimators are robust with respect to outliers and avoid the problem of dimensionality. In addition, statistical properties, including asymptotic distributions, of the new estimators are uncovered. Finally, the authors show several approaches for introducing environmental variables into Production models.

目次

Nonparametric Statistical Models of Production: Combining Economics and Statistics The Nonparametric Envelopment Estimators Bootstrap Inference using DEA and FDH Estimators Robust Order-m Estimators Robust Order-? Estimators Outlier Detection Explaining Inefficiency Unanswered Questions, Promising Ideas Acknowledgements References

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BB15533175
• ISBN:
  • 9781601986665
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Boston
• ページ数/冊数: ix, 158 p.
• 大きさ: 24 cm
• 親書誌ID:
  • BA85977777