Share
A Practitioner's Guide to Stochastic Frontier Analysis Using Stata
Subal C. Kumbhakar
(Author)
·
Hung-Jen Wang
(Author)
·
Alan P. Horncastle
(Author)
·
Cambridge University Press
· Hardcover
A Practitioner's Guide to Stochastic Frontier Analysis Using Stata - Kumbhakar, Subal C. ; Wang, Hung-Jen ; Horncastle, Alan P.
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Wednesday, May 15 and
Friday, May 31.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "A Practitioner's Guide to Stochastic Frontier Analysis Using Stata"
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.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
Answer:
All books in our catalog are Original.
Answer:
The book is written in English.
Answer:
The binding of this edition is Hardcover.
✓ Producto agregado correctamente al carro, Ir a Pagar.
