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Book Synopsis
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 relevan

Elements of Time Series Econometrics

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    A Paperback by Alexandr Cerny

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      Publisher: Karolinum,Nakladatelstvi Univerzity Karlovy,Czech Republic
      Publication Date: Publication Date: 4/21/2017
      ISBN13: 9788024631998, 978-8024631998
      ISBN10: 8024631997

      Description

      Book Synopsis
      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 relevan

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