Non-parametric, unconditional quantile estimation for efficiency analysis with an application to Federal Reserve check processing operations
By: by David C. Wheelock and Paul W. Wilson.
Contributors: Wilson, Paul W.; Federal Reserve Bank of St. Louis.
Series: Working paper ;; 2005-027A; Working paper (Federal Reserve Bank of St. Louis : Online) ;; 2005-027A.
Publisher: Federal Reserve Bank of St. Louis
Published: 2005
Place of publication: [St. Louis, Mo.]
Language: eng
Format: Electronic resource
Subjects: Check collection systems -- United States.
Description: "This paper examines the technical efficiency of U.S.  Federal reserve check processing offices over 1980-2003.  We use new unconditional quantile estimator of efficiency that avoids some drawbacks of other recently proposed estimators.  The new estimator is fully non-parametric, robust with respect to outliers, super-consistent, and converges at rate root-n this avoiding the curse of dimensionality that plagues data envelopment analysis (DEA) estimators.  Our methods could be used by policymakers to compare inefficiency levels across offices or by managers of individual offices to identify peer offices"--Federal Reserve Bank of St. Louis web site.
Notes: Includes bibliographical references.
Title from PDF file as viewed on 7/12/2005.
Also available in print.
System requirements: Adobe Acrobat Reader.
Mode of access: World Wide Web.