Online Public Access Catalogue (OPAC)
Central Library - Vidyasagar University

“Education does not only mean learning, reading, writing, and arithmetic,

it should provide a comprehensive knowledge”

-Ishwarchandra Vidyasagar


Normal view MARC view ISBD view

Essays in Econometrics Volume 1: Spectral Analysis, Seasonality, Nonlinearity, Methodology, and Forecasting / by Clive W. J. Granger; edited by Eric Ghysels, Norman R. Swanson, Mark W. Watson.

By: Granger, Clive W. J.
Contributor(s): Ghysels, Eric [editor] | Swanson, Norman R [joint editor] | Watson, Mark W [joint editor].
Material type: TextTextSeries: Econometric Society Monographs 32. Publisher: Cambridge: Cambridge University Press, 2010ISBN: 9780511753961.Subject(s): Economics | Econometrics and Mathematical Methods | Mathematical Physics | MathematicsGenre/Form: Electronic booksDDC classification: 330.028 Online resources: https://doi.org/10.1017/CBO9780511753961 Summary: 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
    average rating: 0.0 (0 votes)
Item type Current location Call number Status Date due Barcode
E-Book E-Book WWW
330.028 GRA/E (Browse shelf) Available EB30

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.

There are no comments for this item.

Log in to your account to post a comment.

Powered by Koha