Structural Breaks - An Instrumental Variable Approach
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Jushan Bai & Pierre Perron, 1998.
"Estimating and Testing Linear Models with Multiple Structural Changes,"
Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
- Perron, P. & Bai, J., 1995. "Estimating and Testing Linear Models with Multiple Structural Changes," Cahiers de recherche 9552, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Perron, P. & Bai, J., 1995. "Estimating and Testing Linear Models with Multiple Structural Changes," Cahiers de recherche 9552, Universite de Montreal, Departement de sciences economiques.
- 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.
- Ploberger, Werner & Kramer, Walter, 1992. "The CUSUM Test with OLS Residuals," Econometrica, Econometric Society, vol. 60(2), pages 271-285, March.
- Jushan Bai & Pierre Perron, 2003.
"Computation and analysis of multiple structural change models,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
- BAI, Jushan & PERRON, Pierre, 1998. "Computation and Analysis of Multiple Structural-Change Models," Cahiers de recherche 9807, Universite de Montreal, Departement de sciences economiques.
- Tom Doan, "undated". "MULTIPLEBREAKS: RATS procedure to perform multiple structural change analysis," Statistical Software Components RTS00138, Boston College Department of Economics.
- Tom Doan, "undated". "RATS programs to replicate examples of Bai-Perron procedure," Statistical Software Components RTZ00008, Boston College Department of Economics.
- Tom Doan, "undated". "BAIPERRON: RATS procedure to perform Bai-Perron Test for Multiple Structural Changes," Statistical Software Components RTS00013, Boston College Department of Economics.
- Farley, John U. & Hinich, Melvin & McGuire, Timothy W., 1975. "Some comparisons of tests for a shift in the slopes of a multivariate linear time series model," Journal of Econometrics, Elsevier, vol. 3(3), pages 297-318, August.
- Denis Conniffe & John E. Spencer, 1999. "Approximating the Distribution of the Maximum Partial Sum of Normal Deviates," Papers WP102, Economic and Social Research Institute (ESRI).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Yazgan, M. Ege & Özkan, Harun, 2015. "Detecting structural changes using wavelets," Finance Research Letters, Elsevier, vol. 12(C), pages 23-37.
- Wilton Bernardino & João B. Amaral & Nelson L. Paes & Raydonal Ospina & José L. Távora, 2022. "A statistical investigation of a stock valuation model," SN Business & Economics, Springer, vol. 2(8), pages 1-25, August.
- Pierre Perron & Yohei Yamamoto, 2022. "Structural change tests under heteroskedasticity: Joint estimation versus two‐steps methods," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(3), pages 389-411, May.
- Richard Ashley & Randal Verbrugge, 2009.
"Frequency Dependence in Regression Model Coefficients: An Alternative Approach for Modeling Nonlinear Dynamic Relationships in Time Series,"
Econometric Reviews, Taylor & Francis Journals, vol. 28(1-3), pages 4-20.
- Richard A. Ashley. & Randall J. Verbrugge, 2006. "Frequency Dependence in Regression Model Coefficients: An Alternative Approach for Modeling Nonlinear Dynamic Relationships in Time Series," Working Papers e06-7, Virginia Polytechnic Institute and State University, Department of Economics.
- Hännikäinen Jari, 2017.
"Selection of an Estimation Window in the Presence of Data Revisions and Recent Structural Breaks,"
Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-22, January.
- Hännikäinen, Jari, 2015. "Selection of an estimation window in the presence of data revisions and recent structural breaks," MPRA Paper 66759, University Library of Munich, Germany.
- Jari Hännikäinen, 2016. "Selection of an Estimation Window in the Presence of Data Revisions and Recent Structural Breaks," Working Papers 1692, Tampere University, Faculty of Management and Business, Economics.
- Mohitosh Kejriwal, 2020.
"A Robust Sequential Procedure for Estimating the Number of Structural Changes in Persistence,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(3), pages 669-685, June.
- Mohitosh Kejriwal, 2017. "A Robust Sequential Procedure for Estimating the Number of Structural Changes in Persistence," Purdue University Economics Working Papers 1303, Purdue University, Department of Economics.
- Alessandro Casini & Pierre Perron, 2018.
"Structural Breaks in Time Series,"
Boston University - Department of Economics - Working Papers Series
WP2019-02, Boston University - Department of Economics.
- Alessandro Casini & Pierre Perron, 2018. "Structural Breaks in Time Series," Papers 1805.03807, arXiv.org.
- Pierre Perron & Yohei Yamamoto, 2016.
"On the Usefulness or Lack Thereof of Optimality Criteria for Structural Change Tests,"
Econometric Reviews, Taylor & Francis Journals, vol. 35(5), pages 782-844, May.
- Pierre Perron & Yohei Yamamoto, "undated". "On the Usefulness or Lack Thereof of Optimality Criteria for Structural Change Tests," Boston University - Department of Economics - Working Papers Series 2013-012, Boston University - Department of Economics.
- Pierre Perron & Yohei Yamamoto, 2008. "On the Usefulness or Lack Thereof of Optimality Criteria for Structural Change Tests," Boston University - Department of Economics - Working Papers Series wp2008-006, Boston University - Department of Economics.
- Pierre Perron & Yohei Yamamoto, 2012. "On the Usefulness or Lack Thereof of Optimality Criteria for Structural Change Tests," Global COE Hi-Stat Discussion Paper Series gd12-258, Institute of Economic Research, Hitotsubashi University.
- Dominique Guégan & Philippe Peretti, 2013.
"An omnibus test to detect time-heterogeneity in time series,"
Computational Statistics, Springer, vol. 28(3), pages 1225-1239, June.
- Dominique Guegan & Philippe de Peretti, 2010. "An omnibus test to detect time-heterogeneity in time series," Documents de travail du Centre d'Economie de la Sorbonne 10098, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
- Dominique Guegan & Philippe de Peretti, 2012. "An Omnibus Test to Detect Time-Heterogeneity in Time Series," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00721327, HAL.
- Dominique Guegan & Philippe de Peretti, 2011. "An Omnibus Test to Detect Time-Heterogeneity in Time Series," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00560221, HAL.
- Davide De Gaetano, 2016. "Forecast Combinations For Realized Volatility In Presence Of Structural Breaks," Departmental Working Papers of Economics - University 'Roma Tre' 0208, Department of Economics - University Roma Tre.
- Kejriwal, Mohitosh & Perron, Pierre, 2008.
"The limit distribution of the estimates in cointegrated regression models with multiple structural changes,"
Journal of Econometrics, Elsevier, vol. 146(1), pages 59-73, September.
- Mohitosh Kejriwal & Pierre Perron, 2006. "The Limit Distribution of the Estimates in Cointegrated Regression Models with Multiple Structural Changes," Boston University - Department of Economics - Working Papers Series WP2006-064, Boston University - Department of Economics.
- Hong, Yongmiao & Linton, Oliver & McCabe, Brendan & Sun, Jiajing & Wang, Shouyang, 2024.
"Kolmogorov–Smirnov type testing for structural breaks: A new adjusted-range based self-normalization approach,"
Journal of Econometrics, Elsevier, vol. 238(2).
- Hong, Y. & Linton, O. B. & McCabe, B. & Sun, J. & Wang, S., 2023. "Kolmogorov-Smirnov Type Testing for Structural Breaks: A New Adjusted-Range Based Self-Normalization Approach," Janeway Institute Working Papers 2316, Faculty of Economics, University of Cambridge.
- Hong, Y. & Linton, O. B. & McCabe, B. & Sun, J. & Wang, S., 2023. "Kolmogorov-Smirnov Type Testing for Structural Breaks: A New Adjusted-Range Based Self-Normalization Approach," Cambridge Working Papers in Economics 2367, Faculty of Economics, University of Cambridge.
- Zakamulin, Valeriy & Hunnes, John A., 2021. "Stock earnings and bond yields in the US 1871–2017: The story of a changing relationship," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 182-197.
- Chevallier, Julien, 2011. "Evaluating the carbon-macroeconomy relationship: Evidence from threshold vector error-correction and Markov-switching VAR models," Economic Modelling, Elsevier, vol. 28(6), pages 2634-2656.
- George Hondroyiannis & Sophia Lazaretou, 2007.
"Inflation persistence during periods of structural change: an assessment using Greek data,"
Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 34(5), pages 453-475, December.
- George Hondroyiannis & Sophia Lazaretou, 2004. "Inflation Persistence during Periods of Structural Change: An Assessment Using Greek Data," Working Papers 13, Bank of Greece.
- Hondroyiannis, George & Lazaretou, Sophia, 2004. "Inflation persistence during periods of structural change: an assessment using Greek data," Working Paper Series 370, European Central Bank.
- Richard A. Ashley & Randall J. Verbrugge., 2006.
"Mis-Specification in Phillips Curve Regressions: Quantifying Frequency Dependence in This Relationship While Allowing for Feedback,"
Working Papers
e06-11, Virginia Polytechnic Institute and State University, Department of Economics.
- Richard Ashley & Randal Verbrugge, 2019. "Finding a Stable Phillips Curve Relationship: A Persistence-Dependent Regression Mode," Working Papers 201909R, Federal Reserve Bank of Cleveland, revised 08 Apr 2020.
- Meligkotsidou, Loukia & Vrontos, Ioannis D., 2008. "Detecting structural breaks and identifying risk factors in hedge fund returns: A Bayesian approach," Journal of Banking & Finance, Elsevier, vol. 32(11), pages 2471-2481, November.
- Carlos Santos & Maria Alberta Oliveira, 2010.
"Assessing French inflation persistence with impulse saturation break tests and automatic general-to-specific modelling,"
Applied Economics, Taylor & Francis Journals, vol. 42(12), pages 1577-1589.
- Carlos Santos & Maria Alberta Oliveira, 2007. "Assessing French Inflation Persistence with Impulse Saturation Break Tests and Automatic General-to-Specific Modelling," Working Papers de Economia (Economics Working Papers) 10, Católica Porto Business School, Universidade Católica Portuguesa.
- Christian Aßmann & Jens Hogrefe & Roman Liesenfeld, 2009.
"The decline in German output volatility: a Bayesian analysis,"
Empirical Economics, Springer, vol. 37(3), pages 653-679, December.
- Liesenfeld, Roman & Hogrefe, Jens & Aßmann, Christian, 2005. "The Decline in German Output Volatility: A Bayesian Analysis," Economics Working Papers 2006-02, Christian-Albrechts-University of Kiel, Department of Economics.
- Davide De Gaetano, 2018. "Forecast Combinations in the Presence of Structural Breaks: Evidence from U.S. Equity Markets," Mathematics, MDPI, vol. 6(3), pages 1-19, March.
More about this item
Keywords
Structural Break Test; Structural Break Estimation; Instrumental Variable;All these keywords.
JEL classification:
- C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2011-04-02 (Econometrics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cbi:wpaper:4/rt/11. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Fiona Farrelly (email available below). General contact details of provider: https://edirc.repec.org/data/cbigvie.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.