Sprache: Englisch
Verlag: Cambridge University Press, 1999
ISBN 10: 0521669677 ISBN 13: 9780521669672
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Sprache: Englisch
Verlag: Cambridge University Press, 1999
ISBN 10: 0521660130 ISBN 13: 9780521660136
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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 1999
ISBN 10: 0521669677 ISBN 13: 9780521669672
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Taschenbuch. 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.
Sprache: Englisch
Verlag: Cambridge University Press, 1999
ISBN 10: 0521660130 ISBN 13: 9780521660136
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In den WarenkorbZustand: 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.
Sprache: Englisch
Verlag: Cambridge University Press, 1999
ISBN 10: 0521660130 ISBN 13: 9780521660136
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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.