Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Kim, In-Moo
1997.
Detecting the number of structural breaks.
Economics Letters,
Vol. 57,
Issue. 2,
p.
145.
Bai, Jushan
1997.
Estimation of a Change Point in Multiple Regression Models.
Review of Economics and Statistics,
Vol. 79,
Issue. 4,
p.
551.
Kuan, Chung-Ming
1998.
Tests for changes in models with a polynomial trend.
Journal of Econometrics,
Vol. 84,
Issue. 1,
p.
75.
Lee, Junsoo
1999.
Nonlinear Time Series Analysis of Economic and Financial Data.
Vol. 1,
Issue. ,
p.
143.
Hall, Alastair R.
and
Sen, Amit
1999.
Structural Stability Testing in Models Estimated by Generalized Method of Moments.
Journal of Business & Economic Statistics,
Vol. 17,
Issue. 3,
p.
335.
Marriott, John
and
Newbold, Paul
2000.
The strength of evidence for unit autoregressive roots and structural breaks: A Bayesian perspective.
Journal of Econometrics,
Vol. 98,
Issue. 1,
p.
1.
Lee, Junsoo
and
Strazicich, Mark
2001.
Testing the null of stationarity in the presence of a structural break.
Applied Economics Letters,
Vol. 8,
Issue. 6,
p.
377.
Hsu, Chih-Chiang
2001.
Change point estimation in regressions with I(d) variables.
Economics Letters,
Vol. 70,
Issue. 2,
p.
147.
Kim, Tae-Hwan
Leybourne, Stephen
and
Newbold, Paul
2002.
Unit root tests with a break in innovation variance.
Journal of Econometrics,
Vol. 109,
Issue. 2,
p.
365.
Kurozumi, Eiji
2002.
Testing for stationarity with a break.
Journal of Econometrics,
Vol. 108,
Issue. 1,
p.
63.
Kapetanios, George
2003.
Unit Root Testing Against the Alternative Hypothesis of up to m Structural Breaks.
SSRN Electronic Journal ,
Clark, Todd E.
2003.
Disaggregate Evidence on the Persistence of Consumer Price Inflation.
SSRN Electronic Journal,
Altissimo, Filippo
and
Corradi, Valentina
2003.
Strong rules for detecting the number of breaks in a time series.
Journal of Econometrics,
Vol. 117,
Issue. 2,
p.
207.
Granger, Clive W.J.
and
Hyung, Namwon
2004.
Occasional structural breaks and long memory with an application to the S&P 500 absolute stock returns.
Journal of Empirical Finance,
Vol. 11,
Issue. 3,
p.
399.
Mayoral, Laura
2005.
Is the Observed Persistence Spurious? A Test for Fractional Integration Versus Short Memory and Structural Breaks.
SSRN Electronic Journal,
Mayoral, Laura
2005.
The Persistence of Inflation in OECD Countries: A Fractionally Integrated Approach.
SSRN Electronic Journal,
Chen, Gongmeng
Choi, Yoon K.
and
Zhou, Yong
2005.
Nonparametric estimation of structural change points in volatility models for time series.
Journal of Econometrics,
Vol. 126,
Issue. 1,
p.
79.
Kapetanios, George
2005.
Unit‐root testing against the alternative hypothesis of up to m structural breaks.
Journal of Time Series Analysis,
Vol. 26,
Issue. 1,
p.
123.
Phillips, Peter C.B.
2005.
Challenges of trending time series econometrics.
Mathematics and Computers in Simulation,
Vol. 68,
Issue. 5-6,
p.
401.
Juhl, Ted
2005.
Functional‐coefficient models under unit root behaviour.
The Econometrics Journal,
Vol. 8,
Issue. 2,
p.
197.