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Elements of Time Series Econometrics

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  • Kocenda, Evzen
  • Cerný, Alexandr

Abstract

A time series is a sequence of numbers collected at regular intervals over a period of time. Designed with emphasis on the practical application of theoretical tools, Elements of Time Series Econometrics is an approachable guide for the econometric analysis of time series. The text is divided into five major sections. The first section, “The Nature of Time Series,” gives an introduction to time series analysis. The next section, “Difference Equations,” describes briefly the theory of difference equations, with an emphasis on results that are important for time series econometrics. The third section, “Univariate Time Series,” presents the methods commonly used in univariate time series analysis, the analysis of time series of a single variable. The fourth section, “Multiple Time Series,” deals with time series models of multiple interrelated variables. The final section, new to this edition, is “Panel Data and Unit Root Tests” and deals with methods known as panel unit root tests that are relevant to issues of convergence. Appendices contain an introduction to simulation techniques and statistical tables.

Suggested Citation

  • Kocenda, Evzen & Cerný, Alexandr, 2017. "Elements of Time Series Econometrics," University of Chicago Press Economics Books, University of Chicago Press, edition 3, number 9788024631998.
  • Handle: RePEc:ucp:bkecon:9788024631998
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    Cited by:

    1. Biru Paksha Paul & Anupam Das, 2012. "Export-led Growth in India and the Role of Liberalisation," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 6(1), pages 1-26, February.
    2. Maciej Wozniak & Robert Lisowski & Marek Dudek, 2021. "Relationships between Macroeconomics Indicators and Investments of Enterprises: Evidence from Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(2B), pages 555-567.

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