'The book thoroughly covers theory (index numbers, axiomatic production theory, DEA, FDH, stochastic models, inference) and practice of measurement of efficiency and productivity, including issues and sources of data with links, as well as links to software and models. A rigorous and truly indispensable guide - and all this and more in a mere 630 pages.' Rolf Fare and Shawna Grosskopf, Oregon State University
Preface; Introduction; 1. Production theory: primal approach; 2. Production theory: dual approach; 3. Efficiency measurement; 4. Productivity indexes: part 1; 5. Aggregation; 6. Functional forms; 7. Productivity indexes: part 2; 8. Envelopment-type estimators; 9. Statistical analysis for DEA and FDH: Part 1; 10. Statistical analysis for DEA and FDH: part 2; 11. Cross-sectional stochastic frontiers; 12. SF models-first generation panel approaches; 13. SF models-second generation approaches; 14. Endogeneity; 15. Dynamic models; 16. Shape restrictions and model averaging; 17. Measurement, KLEMS, and other data; Afterword.