.png){kind=logo}
Stock image for illustration purposes only - book cover, edition or condition may vary.
An Introduction to Efficiency and Productivity Analysis
Tim Coelli
€ 190.28
FREE Delivery in Ireland
Description for An Introduction to Efficiency and Productivity Analysis
Hardcover. This second edition includes numerous new topics and more applications using real data, as well as exercises at the end of the chapters. Data sets, computer codes and software are available for download from the web to accompany the volume. Num Pages: 366 pages, 58 black & white tables, biography. BIC Classification: KN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 167 x 241 x 27. Weight in Grams: 676.
Softcover version of the second edition Hardcover. Incorporates a new author, Dr. Chris O'Donnell, who brings considerable expertise to the project in the area of performance measurement. Numerous topics are being added and more applications using real data, as well as exercises at the end of the chapters. Data sets, computer codes and software will be available for download from the web to accompany the volume.
Softcover version of the second edition Hardcover. Incorporates a new author, Dr. Chris O'Donnell, who brings considerable expertise to the project in the area of performance measurement. Numerous topics are being added and more applications using real data, as well as exercises at the end of the chapters. Data sets, computer codes and software will be available for download from the web to accompany the volume.
Product Details
Publisher
Springer
Format
Hardback
Publication date
2005
Condition
New
Number of Pages
349
Place of Publication
New York, NY, United States
ISBN
9780387242651
SKU
V9780387242651
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for An Introduction to Efficiency and Productivity Analysis
From the reviews of the second edition: The authors introduce the four major methods economists use to analyze efficiency and productivity: econometric estimation of average response, index numbers, data envelopment analysis (DEA), and stochastic frontier analysis. They intend the book primarily as a text for students in economics ... Read more