A practitioner's guide to stochastic frontier analysis using Stata / Subal C. Kumbhakar, Hung-Jen Wang, and Alan Horncastle.

By: Kumbhakar, Subal Contributor(s): Wang, Hung-Jen | Horncastle, Alan Material type: Text

TextLanguage: English Publication details: New York, NY : Cambridge University Press, 2015. Description: xiv, 359 p. : ill. ; 26 cmISBN: 9781107029514 (hardback); 9781107609464 (paperback)Subject(s): Production (Economic theory) -- Econometric models | Stochastic analysis | EconometricsDDC classification: 338.50285555 LOC classification: HB241 | .K847 2015Online resources: WorldCat details | E-book Fulltext

Contents:

TOC 1. Introduction -- 2. Production, distance, cost, and profit functions -- 3. Estimation of technical efficiency in production frontier models using cross-sectional data -- 4. Estimation of technical efficiency in cost frontier models using cross-sectional data -- 5. Estimation of technical efficiency in profit frontier models using cross-sectional data -- 6. Estimation of technical efficiency in cost frontier models using system models with cross-sectional data -- 7. Estimation of technical efficiency in profit frontier models using system models with cross-sectional data -- 8. Estimation of technical and allocative efficiency in cost frontier models using system models with cross-sectional data : A primal system approach -- 9. Estimation of technical and allocative efficiency in profit frontier models using system models with cross-sectional data : A primal system approach -- 10. Estimation of technical efficiency in single equation panel models -- 11. Productivity and profitability decomposition -- 12. Looking ahead.

Summary: Summary: "A Practitioner's Guide to Stochastic Frontier Analysis Using Stata provides practitioners in academia and industry with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. The authors explain in detail how to estimate production, cost, and profit efficiency and introduce the basic theory of each model in an accessible way, using empirical examples that demonstrate the

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Barcode
E-Book	Dr. S. R. Lasker Library, EWU E-book	Non-fiction	338.50285555 KUP 2015 (Browse shelf(Opens below))		Not for loan
Text	Dr. S. R. Lasker Library, EWU Reserve Section	Non-fiction	338.50285555 KUP 2015 (Browse shelf(Opens below))	C-1	Not For Loan	27109
Text	Dr. S. R. Lasker Library, EWU Circulation Section	Non-fiction	338.50285555 KUP 2015 (Browse shelf(Opens below))	C-2	Available	27110

Total holds: 0

Includes bibliographic references and index.

TOC 1. Introduction --
2. Production, distance, cost, and profit functions --
3. Estimation of technical efficiency in production frontier models using cross-sectional data --
4. Estimation of technical efficiency in cost frontier models using cross-sectional data --
5. Estimation of technical efficiency in profit frontier models using cross-sectional data --
6. Estimation of technical efficiency in cost frontier models using system models with cross-sectional data --
7. Estimation of technical efficiency in profit frontier models using system models with cross-sectional data --
8. Estimation of technical and allocative efficiency in cost frontier models using system models with cross-sectional data : A primal system approach --
9. Estimation of technical and allocative efficiency in profit frontier models using system models with cross-sectional data : A primal system approach --
10. Estimation of technical efficiency in single equation panel models --
11. Productivity and profitability decomposition --
12. Looking ahead.

Summary:
"A Practitioner's Guide to Stochastic Frontier Analysis Using Stata provides practitioners in academia and industry with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. The authors explain in detail how to estimate production, cost, and profit efficiency and introduce the basic theory of each model in an accessible way, using empirical examples that demonstrate the

Economics

Saifun Momota

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