Practitioner's guide to stochastic frontier analysis using Stata Subal C. Kumbhakar, Binghamton University, NY, Hung-Jen Wang, National Taiwan University, Alan Horncastle, Oxera Consulting LLP, Oxford, UK.
Material type: TextPublication details: Cambridge: Canbridge University Press, 2015.Description: xiv, 359 pages ; 26 cmISBN:- 9781107609464 (paperback)
- 338.5028 K960P 23
- HB241 .K847 2015
- BUS021000
Item type | Current library | Collection | Call number | Status | Notes | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Books | Central Library, IISER Bhopal Reference Section | Reference | 338.5028 K960P (Browse shelf(Opens below)) | Not For Loan | Reserve | 10762 |
Browsing Central Library, IISER Bhopal shelves, Shelving location: Reference Section, Collection: Reference Close shelf browser (Hides shelf browser)
338.5 V426M3 Microeconomic analysis | 338.5015195 D93M Microeconometrics | 338.5028 C145M Microeconometrics using Stata | 338.5028 K960P Practitioner's guide to stochastic frontier analysis using Stata | 338.6 Ai3A Applied industrial organization : | 338.6 Au2E Empirical studies in industrial organization : | 338.6 T51T The theory of industrial organization |
Includes bibliographic references (pages 349-355) and index.
Machine generated contents note: 1. Introduction; 2. Production, distance, cost, and profit functions; 3. Production frontier models; 4. Cost frontier models; 5. Profit frontier models; 6. Cost system models; 7. Profit system models; 8. Primal cost models; 9. Profit primal models; 10. Panel models; 11. Productivity and profitability; 12. Looking ahead.
"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 interpretation and application of models. This book also provides computer code, allowing users to apply the models in their own work, and incorporates the most recent stochastic frontier models developed in academic literature. Such recent developments include models of heteroscedasticity and exogenous determinants of inefficiency, scaling models, panel models with time-varying inefficiency, growth models, and panel models that separate firm effects and persistent and transient inefficiency. Immensely helpful to applied researchers, this book bridges the chasm between theory and practice, expanding the range of applications in which production frontier analysis may be implemented"--
"tochastic 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 interpretation and application of models. This book also provides computer code, allowing users to apply the models in their own work, and incorporates the most recent stochastic frontier models developed in academic literature. Such recent developments include models of heteroscedasticity and exogenous determinants of inefficiency, scaling models, panel models with time-varying inefficiency, growth models, and panel models that separate firm effects and persistent and transient inefficiency. Immensely helpful to applied researchers, this book bridges the chasm between theory and practice, expanding the range of applications in which production frontier analysis may be implemented"--
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