Essays in Econometrics : Collected Papers of Clive W. J. Granger / Edited by Eric Ghysels, Norman R. Swanson, Mark W. Watson. Complete in 2 Volumes

Granger, Clive William John (1934-2009)

ISBN 10: 0521774969 / ISBN 13: 9780521774963

Published by Cambridge ; New York : Cambridge University Press, 2001

About this Item

Fine paperback copy. Particularly and surprisingly well-preserved; tight, bright, clean and especially sharp-cornered. Literally as new; 8vo 8" - 9" tall; 0 pages; Description: 2 v. : ill. ; 24 cm. Includes bibliographical references and index. Series: Econometric Society monographs ; no. 32-33. Subjects: Econometrics 2 Kg.

Seller Inventory # 158306

Bibliographic Details

• Title: Essays in Econometrics : Collected Papers of Clive W. J. Granger / Edited by Eric Ghysels, Norman R. Swanson, Mark W. Watson. Complete in 2 Volumes
• Publisher: Cambridge ; New York : Cambridge University Press
• Publication Date: 2001
• Language: English
• ISBN 10: 0521774969
• ISBN 13: 9780521774963
• Binding: Soft cover
• Edition: First Edition.

About this title

Synopsis

This book, and its companion volume, present a collection of papers by Clive W.J. Granger. His contributions to economics and econometrics, many of them seminal, span more than four decades and touch on all aspects of time series analysis. The papers assembled in this volume explore topics in spectral analysis, seasonality, nonlinearity, methodology, and forecasting. Those in the companion volume investigate themes in causality, integration and cointegration, and long memory. The two volumes contain the original articles as well as an introduction written by the editors.

Book Description

This book, and its companion volume in the Econometric Society Monographs series (ESM number 33), present a collection of papers by Clive W.J. Granger. His contributions to economics and econometrics, many of them seminal, span more than four decades and touch on all aspects of time series analysis. The papers assembled in this volume explore topics in spectral analysis, seasonality, nonlinearity, methodology, and forecasting. Those in the companion volume investigate themes in causality, integration and cointegration, and long memory. The two volumes contain the original articles as well as an introduction written by the editors.