Spurious number of breaks
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Citations
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Cited by:
- Wang, Dabin & Tomek, William G., 2004. "Commodity Prices And Unit Root Tests," 2004 Annual meeting, August 1-4, Denver, CO 20141, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Todd E. Clark, 2006.
"Disaggregate evidence on the persistence of consumer price inflation,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 563-587.
- Todd E. Clark, 2006. "Disaggregate evidence on the persistence of consumer price inflation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 563-587, July.
- Todd E. Clark, 2003. "Disaggregate evidence on the persistence of consumer price inflation," Research Working Paper RWP 03-11, Federal Reserve Bank of Kansas City.
- Hyung, Namwon & Franses, Philip Hans & Penm, Jack, 2006.
"Structural breaks and long memory in US inflation rates: Do they matter for forecasting?,"
Research in International Business and Finance, Elsevier, vol. 20(1), pages 95-110, March.
- Hyung, N. & Franses, Ph.H.B.F., 2001. "Structural breaks and long memory in US inflation rates: do they matter for forecasting?," Econometric Institute Research Papers EI 2001-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Magnus Gustavsson & Pär Österholm, 2007.
"Does Unemployment Hysteresis Equal Employment Hysteresis?,"
The Economic Record, The Economic Society of Australia, vol. 83(261), pages 159-173, June.
- Gustavsson, Magnus & Österholm, Pär, 2006. "Does Unemployment Hysteresis Equal Employment Hysteresis?," Working Paper Series 2006:15, Uppsala University, Department of Economics.
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- Rasmus T. Varneskov & Pierre Perron, 2018.
"Combining long memory and level shifts in modelling and forecasting the volatility of asset returns,"
Quantitative Finance, Taylor & Francis Journals, vol. 18(3), pages 371-393, March.
- Pierre Perron & Rasmus T. Varneskov, 2011. "Combining Long Memory and Level Shifts in Modeling and Forecasting the Volatility of Asset Returns," Boston University - Department of Economics - Working Papers Series WP2011-050, Boston University - Department of Economics.
- Rasmus T. Varneskov & Pierre Perron, 2017. "Combining Long Memory and Level Shifts in Modeling and Forecasting the Volatility of Asset Returns," Boston University - Department of Economics - Working Papers Series WP2017-006, Boston University - Department of Economics.
- Rasmus T. Varneskov & Pierre Perron, 2015. "Combining Long Memory and Level Shifts in Modeling and Forecasting the Volatility of Asset Returns," Boston University - Department of Economics - Working Papers Series wp2015-015, Boston University - Department of Economics.
- Rasmus Tangsgaard Varneskov & Pierre Perron, 2011. "Combining Long Memory and Level Shifts in Modeling and Forecasting the Volatility of Asset Returns," CREATES Research Papers 2011-26, Department of Economics and Business Economics, Aarhus University.
- Ibrahim Ahamada & Jamel Jouini & Mohamed Boutahar, 2004.
"Detecting multiple breaks in time series covariance structure: a non-parametric approach based on the evolutionary spectral density,"
Applied Economics, Taylor & Francis Journals, vol. 36(10), pages 1095-1101.
- Ibrahim Ahamada & Jamel Jouini & Mohamed Boutahar, 2004. "Detecting Multiple Breaks in Time Series Covariance Structure: a Nonparametric Approach Based on the Evolutionary Spectral Density," Post-Print halshs-00272867, HAL.
- Altissimo, Filippo & Corradi, Valentina, 2003.
"Strong rules for detecting the number of breaks in a time series,"
Journal of Econometrics, Elsevier, vol. 117(2), pages 207-244, December.
- Altissimo, F. & Corradi, V., 2000. "Strong Rules for Detecting the Number of Breaks in a Time Series," Discussion Papers 0011, University of Exeter, Department of Economics.
- Filippo Altissimo & Valentina Corradi, 2000. "Strong Rules for Detecting the Number of Breaks in a Time Series," Econometric Society World Congress 2000 Contributed Papers 0574, Econometric Society.
- Ibrahim Ahamada & Jamel Jouini & Mohamed Boutahar, 2004.
"Detecting multiple breaks in time series covariance structure: a non-parametric approach based on the evolutionary spectral density,"
Applied Economics, Taylor & Francis Journals, vol. 36(10), pages 1095-1101.
- Ibrahim Ahamada & Jamel Jouini & Mohamed Boutahar, 2004. "Detecting Multiple Breaks in Time Series Covariance Structure: a Nonparametric Approach Based on the Evolutionary Spectral Density," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00272867, HAL.
- Perron, Pierre, 2020.
"L'estimation de modèles avec changements structurels multiples,"
L'Actualité Economique, Société Canadienne de Science Economique, vol. 96(4), pages 789-837, Décembre.
- Perron, Pierre, 1997. "L’estimation de modèles avec changements structurels multiples," L'Actualité Economique, Société Canadienne de Science Economique, vol. 73(1), pages 457-505, mars-juin.
- Jamel JOUINI & Mohamed BOUTAHAR, 2007. "Spuriousness of information criteria when selecting the number of breaks in stationary AR(p) process," Economics Bulletin, AccessEcon, vol. 3(38), pages 1-11.
- Jouini, Jamel & Boutahar, Mohamed, 2005. "Evidence on structural changes in U.S. time series," Economic Modelling, Elsevier, vol. 22(3), pages 391-422, May.
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- Kim, In-Moo, 1997. "Detecting the number of structural breaks," Economics Letters, Elsevier, vol. 57(2), pages 145-148, December.
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