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Applied Time Series Econometrics

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Applied Time Series Econometrics

Applied Time Series Econometrics

- Collection Themes in modern econometrics

323 pages, parution le 06/10/2004

Résumé

Time series econometrics is a rapidly evolving field. Particularly, the cointegration revolution has had a substantial impact on applied analysis. Hence, no textbook has managed to cover the full range of methods in current use and explain how to proceed in applied domains. This gap in the literature motivates the present volume. The methods are sketched out, reminding the reader of the ideas underlying them and giving sufficient background for empirical work. The treatment can also be used as a textbook for a course on applied time series econometrics. Topics include: unit root and cointegration analysis, structural vector autoregressions, conditional heteroskedasticity and nonlinear and nonparametric time series models. Crucial to empirical work is the software that is available for analysis. New methodology is typically only gradually incorporated into existing software packages. Therefore a flexible Java interface has been created, allowing readers to replicate the applications and conduct their own analyses.

Sommaire

  • Initial tasks and overview
  • Univariate time series analysis
  • Vector autoregressive and vector error correction models
  • Structural vector autoregressive modelling and impulse responses
  • Conditional heteroskedasticity
  • Smooth transition regression modelling
  • Nonparametric time series modelling
  • The software JMulTi
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Caractéristiques techniques du livre "Applied Time Series Econometrics"

  PAPIER
Éditeur(s) Cambridge University Press
Auteur(s) Helmut Lütkepohl, Markus Krätzig
Collection Themes in modern econometrics
Parution 06/10/2004
Nb. de pages 323
Format 15 x 23
Couverture Broché
Poids 407g
Intérieur Noir et Blanc
EAN13 9780521547871

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