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Efficiency Productivity Analysis Using by Prokhorov Artem (18 results)
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Condition: As New. Unread book in perfect condition.
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Efficiency and Productivity Analysis : Using Copulas in Stochastic Frontier Models
Book 42 of 43: Routledge Advanced Texts in Economics and FinanceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Efficiency and Productivity Analysis : Using Copulas in Stochastic Frontier Models
Book 42 of 43: Routledge Advanced Texts in Economics and FinanceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Efficiency and Productivity Analysis: Using Copulas in Stochastic Frontier Models
Book 42 of 43: Routledge Advanced Texts in Economics and FinanceLanguage: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367346109 ISBN 13: 9780367346102
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Paperback. Condition: Brand New. 216 pages. 9.19x6.13x0.55 inches. In Stock.
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Taschenbuch. Condition: Neu. Efficiency and Productivity Analysis | Using Copulas in Stochastic Frontier Models | Artem Prokhorov | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | Routledge | EAN 9780367346102 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu.
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Condition: As New. Unread book in perfect condition.
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Efficiency and Productivity Analysis : Using Copulas in Stochastic Frontier Models
Book 42 of 43: Routledge Advanced Texts in Economics and FinanceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 158.58
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Efficiency and Productivity Analysis : Using Copulas in Stochastic Frontier Models
Book 42 of 43: Routledge Advanced Texts in Economics and FinanceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 166.06
£ 15 shipping
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Efficiency and Productivity Analysis: Using Copulas in Stochastic Frontier Models
Book 42 of 43: Routledge Advanced Texts in Economics and FinanceLanguage: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367346095 ISBN 13: 9780367346096
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days.
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Efficiency and Productivity Analysis: Using Copulas in Stochastic Frontier Models (Routledge Advanced Texts in Economics and Finance)
Book 42 of 43: Routledge Advanced Texts in Economics and FinanceSeller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Hardcover. Condition: Brand New. 216 pages. 9.19x6.13x0.67 inches. In Stock.
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Efficiency and Productivity Analysis: Using Copulas in Stochastic Frontier Models
Book 42 of 43: Routledge Advanced Texts in Economics and FinanceLanguage: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367346109 ISBN 13: 9780367346102
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 59.08
£ 15.75 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is an easy-to-understand guide to modeling productivity and efficiency using modern statistical tools. It introduces readers to the fundamentals of stochastic frontier analysis (SFA) and gradually takes them to the forefront of academic research in this area, examining the latest concepts and methods related to the use of copulas in SFA.Following a comprehensive review of classic methodology, Professor Artem Prokhorov covers topics in panel data modeling, in endogeneity in SFA, in joint modeling of technical and allocative inefficiency, and in optimal and robust prediction of inefficiency scores. This is done using copulas to capture various kinds of statistical dependence that have been previously ignored when modeling production. The classic and advanced topics are illustrated using practical examples and codes written in modern programming languages. As an important example, the book spells out the case where both the values of output and the ratio of inputs used in production are optimized simultaneously. Such simultaneity, if ignored, leads to biased estimates of productivity and returns-to-scale and may understate inefficiency.The book offers a useful reference for those interested in the newest robust methods of business analytics in the area of productivity and efficiency, with implications for strategy, budgeting, resourcing and benchmarking of firms, industries and production units more generally.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is an easy-to-understand guide to modeling productivity and efficiency using modern statistical tools. It introduces readers to the fundamentals of stochastic frontier analysis (SFA) and gradually takes them to the forefront of academic research in this area, examining the latest concepts and methods related to the use of copulas in SFA.Following a comprehensive review of classic methodology, Professor Artem Prokhorov covers topics in panel data modeling, in endogeneity in SFA, in joint modeling of technical and allocative inefficiency, and in optimal and robust prediction of inefficiency scores. This is done using copulas to capture various kinds of statistical dependence that have been previously ignored when modeling production. The classic and advanced topics are illustrated using practical examples and codes written in modern programming languages. As an important example, the book spells out the case where both the values of output and the ratio of inputs used in production are optimized simultaneously. Such simultaneity, if ignored, leads to biased estimates of productivity and returns-to-scale and may understate inefficiency.The book offers a useful reference for those interested in the newest robust methods of business analytics in the area of productivity and efficiency, with implications for strategy, budgeting, resourcing and benchmarking of firms, industries and production units more generally.
