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Measurement Of Productivity And Efficiency

Theory And Practice

Measurement Of Productivity And Efficiency - Zelenyuk, Valentin (university Of Queensland); Sickles, Robin C. (rice University, Houston) - ISBN: 9781107036161
Prijs: € 126,00 (onder voorbehoud)
Beschikbaarheid: Niet leverbaar, herdruk in overweging. Verwachte publicatiedatum is niet zeker of onbekend.
Bindwijze: Boek, Gebonden
Genre: Econometrie
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Beschrijving

Provides a comprehensive approach to productivity and efficiency analysis using economic and econometric theory.

Details

Titel: Measurement Of Productivity And Efficiency
auteur: Zelenyuk, Valentin (university Of Queensland); Sickles, Robin C. (rice University, Houston)
Mediatype: Boek
Bindwijze: Gebonden
Taal: Engels
Aantal pagina's: 626
Uitgever: Cambridge University Press
Plaats van publicatie: 03
NUR: Econometrie
Afmetingen: 235 x 157 x 39
Gewicht: 1020 gr
ISBN/ISBN13: 9781107036161
Intern nummer: 43014041

Biografie (woord)

Valentin Zelenyuk is the Australian Research Council Future Fellow at the School of Economics at the University of Queensland, where he served as Research Director and Director of the Centre for Efficiency and Productivity Analysis. He is an Associate Editor of the Journal of Productivity Analysis and the Data Envelopment Analysis Journal.

Quote

'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

Inhoudsopgave

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.

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