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An Introduction to Efficiency and Productivity Analysis Volume 108 || Stochastic Frontier Analysis

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Book ID
111687344
Publisher
Springer-Verlag
Year
2005
Tongue
English
Weight
943 KB
Edition
2nd
Category
Article
ISBN-13
9780387242651

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โœฆ Synopsis


the Second Edition Of An Introduction To Efficiency And Productivity Analysis Is Designed To Be A General Introduction For Those Who Wish To Study Efficiency And Productivity Analysis. The Book Provides An Accessible, Well-written Introduction To The Four Principal Methods Involved: Econometric Estimation Of Average Response Models; Index Numbers, Data Envelopment Analysis (dea); And Stochastic Frontier Analysis (sfa). For Each Method, A Detailed Introduction To The Basic Concepts Is Presented, Numerical Examples Are Provided, And Some Of The More Important Extensions To The Basic Methods Are Discussed. Of Special Interest Is The Systematic Use Of Detailed Empirical Applications Using Real-world Data Throughout The Book.

in Recent Years, There Have Been A Number Of Excellent Advance-level Books Published On Performance Measurement. This Book, However, Is The First Systematic Survey Of Performance Measurement With The Express Purpose Of Introducing The Field To A Wide Audience Of Students, Researchers, And Practitioners. Indeed, The 2nd Edition Maintains Its Uniqueness: (1) It Is A Well-written Introduction To The Field. (2) It Outlines, Discusses And Compares The Four Principal Methods For Efficiency And Productivity Analysis In A Well-motivated Presentation. (3) It Provides Detailed Advice On Computer Programs That Can Be Used To Implement These Performance Measurement Methods. The Book Contains Computer Instructions And Output Listings For The Shazam, Limdep, Tfpip, Deap And Frontier Computer Programs. More Extensive Listings Of Data And Computer Instruction Files Are Available On The Book's Website: (www.uq.edu.au/economics/cepa/crob2005).

booknews

an Introduction To The Four Principal Methods Of Efficiency And Productivity Analysis: Least Squares Econometric Production Models, Index Numbers, Data Development Analysis, And Stochastic Frontiers. Written At The Advanced Undergraduate To Graduate Level. Includes An Introduction To Each Method, A Simple Numerical Example, And Then A Section On Advanced Topics Within That Method. Appends A Description Of Applicable Software. Annotation C. By Book News, Inc., Portland, Or.


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