Modelling Seasonality
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Modelling Seasonality

Modelling Seasonality

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About the Book

The realization among econometricians and applied economists that seasonal variation in many time series is often larger and less regular than has been supposed, has recently led to an increased interest in seriously modelling seasonality. The relative size of seasonal variation also means that such modelling is of major economic interest. Important developments in modelling seasonality have occurred - the last ten years have seen improvements in the model-based procedures, the discovery of periodic models, seasonal integration and cointegration, and the development of economic theories of seasonality. This volume brings together some leading papers on the existing standard economic theory of seasonality as well as papers which apply newer statistical tools to the modelling of seasonal phenomena. In addition to the topics already mentioned, it presents and discusses the X-11 method of seasonal adjustment and the introduction includes a description and assessment of the most recent developments.

Table of Contents:
Part 1 Introduction: the historical perspective, S. Hylleberg; seasonal adjustment and relations between variables, K.F. Wallis; seasonality in regression, C.A. Sims; issues involved with the seasonal adjustment of economic time series, W.R. Bell and S.C. Hillmer. Part 2 Fragments of an economic theory of seasonality: analysis of port pricing of halibut - theoretical considerations and empirical results, J. Crutchfield and A. Zellner; a study toward a dynamic theory of seasonality for economic time series, E. Ghysels; seasonality and habit persistence in a life cycle model of consumption, D.R. Osborn; seasonality, cost shocks and the production smoothing model of inventories, J.A. Miron and S.P. Zeldes. Part 3 Seasonal adjustment procedures: the X-11 method, S. Hylleberg; unobserved-components models for seasonal adjustment filters, P. Burridge and K.F. Wallis. Part 4 Model-based procedures: estimating structural models of seasonality, R.F. Engle; an ARIMA-model-based approach to seasonal adjustment, S.C. Hillmer and G.C. Tiao; forecasting economic time series with structural and Box-Jenkins models - a case study, A.C. Harvey and P.H.J. Todd; a prototypical seasonal adjustment model, A. Maravall and D.A. Pierce; seasonal adjustment and Kalman filtering - extension to periodic variances, P. Burridge and K.F. Wallis. Part 5 Seasonal integration and cointegration: testing for unit roots in seasonal time series, D.A. Dickey et al; seasonal integration and cointegration, S. Hylleberg et al; seasonality and the order of integration for consumption, D.R. Osborn et al.


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Product Details
  • ISBN-13: 9780198773184
  • Publisher: Oxford University Press
  • Publisher Imprint: Oxford University Press
  • Height: 235 mm
  • No of Pages: 482
  • Spine Width: 28 mm
  • Width: 157 mm
  • ISBN-10: 0198773188
  • Publisher Date: 20 Aug 1992
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Weight: 725 gr


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Modelling Seasonality
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