000 02837nam a22003858i 4500
001 CR9780511606885
003 UkCbUP
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006 m|||||o||d||||||||
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008 090910s2004||||enk o ||1 0|eng|d
020 _a9780511606885 (ebook)
020 _z9780521839198 (hardback)
020 _z9780521547871 (paperback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aHA30.3
_b.A67 2004
082 0 0 _a330/.01/51955
_222
245 0 0 _aApplied time series econometrics /
_cedited by Helmut Lütkepohl, Markus Krätzig.
264 1 _aCambridge :
_bCambridge University Press,
_c2004.
300 _a1 online resource (xxv, 323 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aThemes in modern econometrics
500 _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505 0 _aInitial tasks and overview ; Univariate time series analysis ; Vector autoregressive and vector error correction models / Helmut Lütkepohl -- Structural vector autoregressive modeling and impulse responses / Jörg Breitung, Ralf Brüggemann, and Helmut Lütkepohl -- Conditional heteroskedasticity / Helmut Herwartz -- Smooth transition regression modeling / Timo Teräsvirta -- Nonparametric time series modeling / Rolf Tschernig -- The software JMulTi / Markus Krätzig.
520 _aTime 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.
650 0 _aTime-series analysis
_xMathematical models.
650 0 _aEconometrics.
700 1 _aLütkepohl, Helmut,
_eeditor.
700 1 _aKrätzig, Markus,
_d1974-
_eeditor.
776 0 8 _iPrint version:
_z9780521839198
830 0 _aThemes in modern econometrics.
856 4 0 _uhttps://doi.org/10.1017/CBO9780511606885
999 _c517167
_d517165