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Detection of Structural Breaks in Linear Dynamic Panel Data Models

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  • Stefan de Wachter

    (Queen Mary, University of London)

  • Elias Tzavalis

    (Queen Mary, University of London)

Abstract

This paper develops a break detection procedure for the well-known AR(p) linear panel data model with exogenous or pre-determined regressors. The test allows for a structural break in the slope parameters as well as in the fixed effects. Breaks in the latter are not constrained by any type of cross-sectional homogeneity and are allowed to be correlated with all past information.

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Bibliographic Info

Paper provided by Queen Mary, University of London, School of Economics and Finance in its series Working Papers with number 505.

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Date of creation: Feb 2004
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Handle: RePEc:qmw:qmwecw:wp505

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Keywords: Panel data; Structural break; Break detection;

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References

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  1. Richard Blundell & Steve Bond, 1995. "Initial conditions and moment restrictions in dynamic panel data models," IFS Working Papers W95/17, Institute for Fiscal Studies.
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  19. Maurice J.G. Bun & Frank Windmeijer, 2007. "The Weak Instrument Problem of the System GMM Estimator in Dynamic Panel Data Models," Bristol Economics Discussion Papers 07/595, Department of Economics, University of Bristol, UK.
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  23. De Wachter, Stefan & Tzavalis, Elias, 2005. "Monte Carlo comparison of model and moment selection and classical inference approaches to break detection in panel data models," Economics Letters, Elsevier, vol. 88(1), pages 91-96, July.
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Citations

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Cited by:
  1. Chihwa Kao & Lorenzo Trapani & Giovanni Urga, 2007. "Modelling and Testing for Structural Changes in Panel Cointegration Models with Common and Idiosyncratic Stochastic Trends," Working Papers 0708, Department of Economics and Technology Management, University of Bergamo.
  2. Ryan Brady, 2013. "The Spatial Diffusion of Regional Housing Prices across U.S. States," Departmental Working Papers 45, United States Naval Academy Department of Economics.
  3. Sonja Keller & Ashoka Mody, 2010. "International Pricing of Emerging Market Corporate Debt," IMF Working Papers 10/26, International Monetary Fund.
  4. Félix Chan & Tommaso Mancini-Griffoli & Laurent L. Pauwels, 2006. "Stability tests for heterogeneous panel data," PSE Working Papers halshs-00589114, HAL.
  5. Bai, Jushan, 2010. "Common breaks in means and variances for panel data," Journal of Econometrics, Elsevier, vol. 157(1), pages 78-92, July.
  6. Kim, Dukpa, 2011. "Estimating a common deterministic time trend break in large panels with cross sectional dependence," Journal of Econometrics, Elsevier, vol. 164(2), pages 310-330, October.
  7. Karavias, Yiannis & Tzavalis, Elias, 2012. "Generalized �Fixed-T Panel Unit Root Tests Allowing for Structural Breaks," MPRA Paper 43128, University Library of Munich, Germany.
  8. Karavias, Yiannis & Tzavalis, Elias, 2014. "Testing for unit roots in short panels allowing for a structural break," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 391-407.
  9. Bada, Oualid & Kneip, Alois, 2014. "Parameter cascading for panel models with unknown number of unobserved factors: An application to the credit spread puzzle," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 95-115.
  10. Fay Dunkerley & Amihai Glazer & Stef Proost, 2010. "What Drives Gasoline Prices?," Working Papers 091005, University of California-Irvine, Department of Economics.
  11. De Wachter, Stefan & Tzavalis, Elias, 2005. "Monte Carlo comparison of model and moment selection and classical inference approaches to break detection in panel data models," Economics Letters, Elsevier, vol. 88(1), pages 91-96, July.

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