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: 
TextLanguage: English Publisher: New York, NY : Cambridge University Press, 2015Description: 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 | Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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| 338.5024658 THM 2013 Managerial Economics / | 338.502855 JEM 2007 Microeconomics using Excel : | 338.502855 JEM 2007 Microeconomics using Excel : | 338.50285555 KUP 2015 A practitioner's guide to stochastic frontier analysis using Stata / | 338.5442 MAF 2013 Forecasting : | 338.5442 MAF 2013 Forecasting : | 338.5442 MAF 2013 Forecasting : |
Includes bibliographic references and index.
Table of contents 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
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