The Econometric Analysis of Seasonal Time Series

The Econometric Analysis of Seasonal Time Series

Author: Eric Ghysels

Publisher: Cambridge University Press

Published: 2001-06-18

Total Pages: 258

ISBN-13: 9780521565882

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Eric Ghysels and Denise R. Osborn provide a thorough and timely review of the recent developments in the econometric analysis of seasonal economic time series, summarizing a decade of theoretical advances in the area. The authors discuss the asymptotic distribution theory for linear nonstationary seasonal stochastic processes. They also cover the latest contributions to the theory and practice of seasonal adjustment, together with its implications for estimation and hypothesis testing. Moreover, a comprehensive analysis of periodic models is provided, including stationary and nonstationary cases. The book concludes with a discussion of some nonlinear seasonal and periodic models. The treatment is designed for an audience of researchers and advanced graduate students.


IBSS: Economics: 2006 Vol. 55

IBSS: Economics: 2006 Vol. 55

Author: British Library of Political and Economic Science Staff

Publisher: Routledge

Published: 2007-10-31

Total Pages: 664

ISBN-13: 9780415447171

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First published in 2007. Routledge is an imprint of Taylor & Francis, an informa company.


Macroeconometrics and Time Series Analysis

Macroeconometrics and Time Series Analysis

Author: Steven Durlauf

Publisher: Springer

Published: 2016-04-30

Total Pages: 417

ISBN-13: 0230280838

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Specially selected from The New Palgrave Dictionary of Economics 2nd edition, each article within this compendium covers the fundamental themes within the discipline and is written by a leading practitioner in the field. A handy reference tool.


Handbook of Economic Forecasting

Handbook of Economic Forecasting

Author: G. Elliott

Publisher: Elsevier

Published: 2006-05-30

Total Pages: 1071

ISBN-13: 0080460674

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Research on forecasting methods has made important progress over recent years and these developments are brought together in the Handbook of Economic Forecasting. The handbook covers developments in how forecasts are constructed based on multivariate time-series models, dynamic factor models, nonlinear models and combination methods. The handbook also includes chapters on forecast evaluation, including evaluation of point forecasts and probability forecasts and contains chapters on survey forecasts and volatility forecasts. Areas of applications of forecasts covered in the handbook include economics, finance and marketing.*Addresses economic forecasting methodology, forecasting models, forecasting with different data structures, and the applications of forecasting methods *Insights within this volume can be applied to economics, finance and marketing disciplines