Our systems are now restored following recent technical disruption, and we’re working hard to catch up on publishing. We apologise for the inconvenience caused. Find out more

Recommended product

Popular links

Popular links


Stochastic Frontier Analysis

Stochastic Frontier Analysis

Stochastic Frontier Analysis

Subal C. Kumbhakar, State University of New York, Binghamton
C. A. Knox Lovell, University of Georgia
March 2003
Available
Paperback
9780521666633
$61.00
USD
Paperback
USD
eBook

    This book develops econometric techniques for the estimation of production, cost and profit frontiers, and for the estimation of the technical and economic efficiency with which producers approach these frontiers. Since these frontiers envelop rather than intersect the data, and since the authors continue to maintain the traditional econometric belief in the presence of external forces contributing to random statistical noise, the work is titled Stochastic Frontier Analysis. Hb ISBN (2000): 0-521-48184-8

    • Hardback sold excellently in first 2 years
    • Already has four good reviews in journals such as JEL and EJ
    • Authors are leading exponents of production theory, analysis, measurement

    Reviews & endorsements

    "Every so often a book is written that pulls together a large subject matter in an accessible way, covering both theoretical and applied developments. This is such a book." Journal of Economic Literature

    See more reviews

    Product details

    No date available
    Adobe eBook Reader
    9781107710573
    0 pages
    0kg
    This ISBN is for an eBook version which is distributed on our behalf by a third party.

    Table of Contents

    • 1. Introduction
    • 2. Analytical foundations
    • 3. The estimation of technical efficiency
    • 4. The estimation and decomposition of cost efficiency
    • 5. The estimation and decomposition of profit efficiency
    • 6. The shadow price approach to the estimation and decomposition of economic efficiency
    • 7. Incorporating exogenous influences on efficiency
    • 8. The estimation of efficiency change and productivity change.
      Authors
    • Subal C. Kumbhakar , State University of New York, Binghamton
    • C. A. Knox Lovell , University of Georgia