ISBN: 9780521660136 - generalized method of moments estimation (themes in modern econometrics) (13 Ergebnisse)

Hardcover. Zustand: Very Good. No Jacket. 1999.Hardcover.Very good condition.316 pages.Ships from Japan.Usually ships in 1-2 working days.

Zustand: New.

Zustand: New. The principal objective of this volume is to offer a complete presentation of the theory of GMM estimation. Editor(s): Matyas, Laszlo. Series Editor(s): Phillips, Peter C. B.; Ghysels, Eric; Smith, Richard J. Series: Themes in Modern Econometrics. Num Pages: 332 pages, 14 tables. BIC Classification: KCH. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 22. Weight in Grams: 565. . 1999. hardcover. . . . .…

Zustand: New. In English.

Zustand: New. The principal objective of this volume is to offer a complete presentation of the theory of GMM estimation. Editor(s): Matyas, Laszlo. Series Editor(s): Phillips, Peter C. B.; Ghysels, Eric; Smith, Richard J. Series: Themes in Modern Econometrics. Num Pages: 332 pages, 14 tables. BIC Classification: KCH. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 22. Weight in Grams: 565. . 1999. hardcover. . . . . Books ship from the US and Ireland.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The generalized method of moments (GMM) estimation has emerged as providing a ready to use, flexible tool of application to a large number of econometric and economic models by relying on mild, plausible assumptions. The principal objective of this volume is to offer a complete presentation of the theory of GMM estimation as well as insights into the use of these methods in empirical studies. It is also designed to serve as a unified framework for teaching estimation theory in econometrics. Contributors to the volume include well-known authorities in the field based in North America, the UK/Europe, and Australia. The work is likely to become a standard reference for graduate students and professionals in economics, statistics, financial modeling, and applied mathematics.…

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Zustand: New. Print on Demand pp. 332 9:B&W 6 x 9 in or 229 x 152 mm Case Laminate on Creme w/Gloss Lam.

Zustand: New. Print on Demand pp. 332 Index.

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Hardcover. Zustand: new. Hardcover. The generalized method of moments (GMM) estimation has emerged over the past decade as providing a ready to use, flexible tool of application to a large number of econometric and economic models by relying on mild, plausible assumptions. The principal objective of this volume, the first devoted entirely to the GMM methodology, is to offer a complete and up to date presentation of the theory of GMM estimation as well as insights into the use of these methods in empirical studies. It is also designed to serve as a unified framework for teaching estimation theory in econometrics. Contributors to the volume include well-known authorities in the field based in North America, the UK/Europe, and Australia. The principal objective of this volume, the first devoted entirely to the GMM methodology, is to offer a complete and up to date presentation of the theory of GMM estimation as well as insights into the use of these methods in empirical studies. It is also designed to serve as a unified framework for teaching estimation theory in econometrics. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The principal objective of this volume is to offer a complete presentation of the theory of GMM estimation as well as insights into the use of these methods in empirical studies. It is also designed to serve as a unified framework for teaching estimation th.…

Buch. Zustand: Neu. Generalized Method of Moments Estimation | Laszlo Matyas (u. a.) | Buch | Englisch | 1999 | Cambridge University Press | EAN 9780521660136 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.