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A Practitioner's Guide to Stochastic Frontier Analysis Using Stata

A Practitioner's Guide to Stochastic Frontier Analysis Using Stata

A Practitioner's Guide to Stochastic Frontier Analysis Using Stata
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A Practitioner's Guide to Stochastic Frontier Analysis Using Stata Paperback - 2015

by Kumbhakar, Subal C./ Wang, Hung-jen/ Horncastle, Alan

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Cambridge Univ Pr, 2015. Paperback. New. 359 pages. 10.00x7.50x0.75 inches.
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Details

  • Title A Practitioner's Guide to Stochastic Frontier Analysis Using Stata
  • Author Kumbhakar, Subal C./ Wang, Hung-jen/ Horncastle, Alan
  • Binding Paperback
  • Edition Paperback
  • Condition New
  • Pages 374
  • Volumes 1
  • Language ENG
  • Publisher Cambridge Univ Pr
  • Publication date 2015
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # x-1107609461
  • ISBN 9781107609464 / 1107609461
  • Weight 1.5 lbs (0.68 kg)
  • Dimensions 10 x 6.9 x 1 in (25.40 x 17.53 x 2.54 cm)
  • Themes
    • Aspects (Academic): Business Aspects
  • Category Business / Economics / Finance
  • Library of Congress subjects Econometrics, Stochastic analysis
  • Library of Congress Catalogue Number 2014023789
  • Dewey Decimal Code 338
  • Quantity available 2

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Reader reviews for A Practitioner's Guide to Stochastic Frontier Analysis Using Stata

From the publisher

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.
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