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Time Series Econometrics

  • Textbook
  • © 2016

Overview

Authors:
  1. Klaus Neusser

    1. Bern, Switzerland

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  • Analyzes modern developments in time series analysis and their application to economic problems
  • Introduces the fundamental concept of a stationary time series and the basic properties of covariance
  • Helps students develop a deeper understanding of theory and better command of the models that are vital to the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Springer Texts in Business and Economics (STBE)

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-xxiv
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  2. Univariate Time Series Analysis

    1. Front Matter

      Pages 1-1
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    2. Introduction and Basic Theoretical Concepts

      • Klaus Neusser
      Pages 3-24

    3. Autoregressive Moving-Average Models

      • Klaus Neusser
      Pages 25-44

    4. Forecasting Stationary Processes

      • Klaus Neusser
      Pages 45-66

    5. Estimation of the Mean and the Autocorrelation Function

      • Klaus Neusser
      Pages 67-85

    6. Estimation of ARMA Models

      • Klaus Neusser
      Pages 87-108

    7. Spectral Analysis and Linear Filters

      • Klaus Neusser
      Pages 109-132

    8. Integrated Processes

      • Klaus Neusser
      Pages 133-165

    9. Models of Volatility

      • Klaus Neusser
      Pages 167-193

  3. Multivariate Time Series Analysis

    1. Front Matter

      Pages 195-195
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    2. Introduction

      • Klaus Neusser
      Pages 197-199

    3. Definitions and Stationarity

      • Klaus Neusser
      Pages 201-206

    4. Estimation of Mean and Covariance Function

      • Klaus Neusser
      Pages 207-214

    5. Stationary Time Series Models: Vector Autoregressive Moving-Average Processes (VARMA Processes)

      • Klaus Neusser
      Pages 215-224

    6. Estimation of Vector Autoregressive Models

      • Klaus Neusser
      Pages 225-239

    7. Forecasting with VAR Models

      • Klaus Neusser
      Pages 241-253

    8. Interpretation and Identification of VAR Models

      • Klaus Neusser
      Pages 255-294

    9. Cointegration

      • Klaus Neusser
      Pages 295-324

    10. State-Space Models and the Kalman Filter

      • Klaus Neusser
      Pages 325-352
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Keywords

About this book

This text presents modern developments in time series analysis and focuses on their application to economic problems. The book first introduces the fundamental concept of a stationary time series and the basic properties of covariance, investigating the structure and estimation of autoregressive-moving average (ARMA) models and their relations to the covariance structure. The book then moves on to non-stationary time series, highlighting its consequences for modeling and forecasting and presenting standard statistical tests and regressions. Next, the text discusses volatility models and their applications in the analysis of financial market data, focusing on generalized autoregressive conditional heteroskedastic (GARCH) models. The second part of the text  devoted to multivariate processes, such as vector autoregressive (VAR) models and structural vector autoregressive (SVAR) models, which have become the main tools in empirical macroeconomics. The text concludes with a discussionof co-integrated models and the Kalman Filter, which is being used with increasing frequency. Mathematically rigorous, yet application-oriented, this self-contained text will help students develop a deeper understanding of theory and better command of the models that are vital to the field.  Assuming a basic knowledge of statistics and/or econometrics, this text is best suited for advanced undergraduate and beginning graduate students. 


Reviews

“Neusser offers an important addition to the market for books on time series econometrics, and definitely fills a gap within the market and complements existing offerings. This is an excellent effort, and I have enjoyed the book.” (Benjamin Wong, Economic Record, Vol. 95 (310), September, 2019)



“The present monograph is a practical and comprehensive introduction to an area that lies at the core of econometrics. … It requires minimal prerequisites, and is almost surely accessible to senior undergraduate or beginning graduate students, and certainly to independent researchers … . I find this book to be a valuable addition to the monographic literature on time series.” (Giuseppe Castellacci, Mathematical Reviews, October, 2017)

Authors and Affiliations

  • Bern, Switzerland

    Klaus Neusser

About the author

Prof. Klaus Neusser

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