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A Practitioners Guide to Stochastic Frontier Analysis Using Stata 2015 Edition at Meripustak

A Practitioners Guide to Stochastic Frontier Analysis Using Stata 2015 Edition by Subal C. Kumbhakar, Hung-Jen Wang, Alan P. Horncastle , CAMBRIDGE

Books from same Author: Subal C. Kumbhakar, Hung-Jen Wang, Alan P. Horncastle

Books from same Publisher: CAMBRIDGE

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  • General Information  
    Author(s)Subal C. Kumbhakar, Hung-Jen Wang, Alan P. Horncastle
    PublisherCAMBRIDGE
    ISBN9781107029514
    Pages374
    BindingHardback
    LanguageEnglish
    Publish YearFebruary 2015

    Description

    CAMBRIDGE A Practitioners Guide to Stochastic Frontier Analysis Using Stata 2015 Edition by Subal C. Kumbhakar, Hung-Jen Wang, Alan P. Horncastle

    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. Table of contents :- 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.



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