Applied Time Series Econometrics
Edited by LÃ¼tkepohl,Helmut and
in Cambridge Books from Cambridge University Press
Time series econometrics is a rapidly evolving field. Particularly, the cointegration revolution has had a substantial impact on applied analysis. Hence, no textbook has managed to cover the full range of methods in current use and explain how to proceed in applied domains. This gap in the literature motivates the present volume. The methods are sketched out, reminding the reader of the ideas underlying them and giving sufficient background for empirical work. The treatment can also be used as a textbook for a course on applied time series econometrics. Topics include: unit root and cointegration analysis, structural vector autoregressions, conditional heteroskedasticity and nonlinear and nonparametric time series models. Crucial to empirical work is the software that is available for analysis. New methodology is typically only gradually incorporated into existing software packages. Therefore a flexible Java interface has been created, allowing readers to replicate the applications and conduct their own analyses.
References: Add references at CitEc
Citations: View citations in EconPapers (34) Track citations by RSS feed
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:cup:cbooks:9780521839198
Ordering information: This item can be ordered from
http://www.cambridge ... p?isbn=9780521839198
Access Statistics for this book
More books in Cambridge Books from Cambridge University Press
Bibliographic data for series maintained by Ruth Austin ( this e-mail address is bad, please contact ).