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Synopsis
Simulation-based inference (SBI) is the fastest growing area of research in modern econometrics. The techniques of SBI are widespread among scholars and researchers, and have become a staple part of undergraduate and postgraduate research programs. In this volume, Mariano, Schuermann, Weeks and their contributors provide an overview of the applications and techniques at the cutting edge of the subject, as well as a comprehensive survey of the existing literature. The contributions include important new essays by many of the leading figures currently working in econometrics.
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"This book would be a valuable reference for empirical researchers interested in applying simulation-based methods." JASA
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Simulation-based Inference in Econometrics: Methods and Applications
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Cambridge University Press, 2008
ISBN 10: 052108802X
ISBN 13: 9780521088022
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Soft cover. Condition: Very Good. No Jacket. 2008.Softcover.Very good condition.462 pages.Ships from Japan.Usually ships in 1-2 working days. Seller Inventory # 21943
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Simulation-based Inference in Econometrics: Methods and Applications (Volume 0)
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Cambridge University Press, 2008
ISBN 10: 052108802X
ISBN 13: 9780521088022
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Simulation-Based Inference in Econometrics: Methods and Applications
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Cambridge University Press 2008-11, 2008
ISBN 10: 052108802X
ISBN 13: 9780521088022
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Simulation-based Inference in Econometrics: Methods and Applications
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Cambridge University Press, 2009
ISBN 10: 052108802X
ISBN 13: 9780521088022
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Condition: New. An overview of the techniques and practices involved in simulation-based inference. Editor(s): Mariano, Roberto S.; Schuermann, Til; Weeks, Melvyn J. Num Pages: 476 pages, 25 tables. BIC Classification: KCH. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 27. Weight in Grams: 690. . 2009. paperback. . . . . Seller Inventory # V9780521088022
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Simulation-based Inference in Econometrics: Methods and Applications
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Cambridge University Press, 2008
ISBN 10: 052108802X
ISBN 13: 9780521088022
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Seller: Kennys Bookstore, Olney, MD, U.S.A.
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Condition: New. An overview of the techniques and practices involved in simulation-based inference. Editor(s): Mariano, Roberto S.; Schuermann, Til; Weeks, Melvyn J. Num Pages: 476 pages, 25 tables. BIC Classification: KCH. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 27. Weight in Grams: 690. . 2009. paperback. . . . . Books ship from the US and Ireland. Seller Inventory # V9780521088022
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Simulation-Based Inference in Econometrics
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Cambridge University Press CUP, 2008
ISBN 10: 052108802X
ISBN 13: 9780521088022
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Simulation-Based Inference in Econometrics
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Cambridge University Press, 2008
ISBN 10: 052108802X
ISBN 13: 9780521088022
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Condition: New. Print on Demand pp. 476 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. Seller Inventory # 7361038
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Simulation-Based Inference in Econometrics
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Cambridge University Press, 2008
ISBN 10: 052108802X
ISBN 13: 9780521088022
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Simulation-based Inference in Econometrics (Paperback)
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Cambridge University Press, Cambridge, 2008
ISBN 10: 052108802X
ISBN 13: 9780521088022
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Paperback. Condition: new. Paperback. This substantial volume has two principal objectives. First it provides an overview of the statistical foundations of Simulation-based inference. This includes the summary and synthesis of the many concepts and results extant in the theoretical literature, the different classes of problems and estimators, the asymptotic properties of these estimators, as well as descriptions of the different simulators in use. Second, the volume provides empirical and operational examples of SBI methods. Often what is missing, even in existing applied papers, are operational issues. Which simulator works best for which problem and why? This volume will explicitly address the important numerical and computational issues in SBI which are not covered comprehensively in the existing literature. Examples of such issues are: comparisons with existing tractable methods, number of replications needed for robust results, choice of instruments, simulation noise and bias as well as efficiency loss in practice. Simulation-based inference (SBI) is the fastest growing area of research in modern econometrics. This substantial international volume provides an overview of the applications and techniques at the cutting edge of the subject as well as providing a comprehensive survey of the existing literature. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780521088022
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Simulation-Based Inference in Econometrics
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ISBN 10: 052108802X
ISBN 13: 9780521088022
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Simulation-based inference (SBI) is the fastest growing area of research in modern econometrics. This substantial international volume provides an overview of the applications and techniques at the cutting edge of the subject as well as providing a comprehe. Seller Inventory # 446924171
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