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Elements of Time Series Econometrics: An Applied Approach

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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.

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Elements of Time Series Econometrics: An Applied Approach, Alexandr Černý

Sprache
Erscheinungsdatum
2014
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Sprache
Englisch
Autor*innen
Alexandr Černý
Erscheinungsdatum
2014
Einband
Paperback
Seitenzahl
228
ISBN10
8024623153
ISBN13
9788024623153
Reihe
Beschreibung
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.