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Elements of Time Series Econometrics: An Applied Approach, by Evzen Kocenda, Alexandr Cerný
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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.
- Sales Rank: #3081142 in Books
- Published on: 2017-02-15
- Original language: English
- Dimensions: 9.25" h x .70" w x 6.50" l, .0 pounds
- Binding: Paperback
- 220 pages
About the Author
Evžen Kocenda is a senior researcher and professor at the Economics Institute of the Academy of Sciences of the Czech Republic. Alexandr Cern� is a lecturer at the Anglo-American University in Prague and the Center for Economic Research and Graduate Education and Economics Institute.
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