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Recent Developments in Time Series

Volumes I and II

Bibliographic Data

ID9710470
AuthorsMarco R Barassi (University of Birmingham), Marco Barassi (0000-0001-8945-2457, University of Birmingham, corresponding author)
Year2004
Volume114
Issue499
PagesF553-F554
Publication date2004-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe Economic Journal (JOURNAL)
Journal identifiersISSN: 0013-0133 • E-ISSN: 1468-0297
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1111/j.0013-0133.2004.955_10.x
OpenAlexW1971205131
LanguageEN
References cited2

The two volumes edited by Paul Newbold and Stephen Leybourne reproduce many important developments that occurred on various time series topics in the 1990–2000 decade. The books represent (and they are meant to) a follow up to Harvey’s (1994) editorial effort also published in the Elgar Reference Collection. The two volumes consist of 50 articles that have been divided in twelve parts corresponding to different aspects of time series. The first set of articles of the first volume cover unit roots and stationarity tests. Among the unit root test papers we find important articles like the one by Elliot, Rothenberg, and Stock, which propose efficient tests for a unit root, and Ng and Perron, which analyse the problem of choosing the truncation lag in the context of augmented Dickey‐Fuller tests for a unit root. Stationarity tests are represented by important papers like the one from Kwiatkowski, Phillips, Schmidt and Shin which develops a test for the null of stationarity against the alternative of a unit root (the famous KPSS), and the paper by Leybourne and McCabe which provide methods for the improvement of the performance of tests for stationarity. Also, Lobato and Robinson offer a non‐parametric test for the null of I(0) against the alternative of I(d) where d may correspond to a fractional alternative

Archaeology · Cointegration · Context (archaeology · Data mining · Econometrics · Mathematical economics · Null (SQL · Null hypothesis · Parametric statistics · Series (stratigraphy · Statistics · Stock (firearms · Unit root · Unit root test · Complex Systems and Time Series Analysis · Computer Science · Financial Risk and Volatility Modeling · Geology · History · Mathematics · Monetary Policy and Economic Impact

  • The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis

    Pierre Perron•Econometrica•1989

  • Investigating Causal Relations by Econometric Models and Cross-spectral Methods

    Clive W J Granger•Econometrica•1969

Citation velocityhistorical
Highly citedNo

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