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Comparison of Panel Cointegration Tests

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  • Deniz Dilan Karaman Örsal

Abstract

The main aim of this paper is to compare the size and size-adjusted power properties of four residual-based and one maximum-likelihood-based panel cointegration tests with the help of Monte Carlo simulations. In this study the panel-p, the group-p, the panel-t, the group-t statistics of Pedroni (1999) and the standardized LR-bar statistic of Larsson et al. (2001) are considered. The simulation results indicate that the panel-t and standardized LR-bar statistic have the best size and power properties a mong the five panel cointegration test statistics evaluated. Finally, the Fisher Hypothesis is tested with two different data sets for OECD countries. The results point out the existence of the Fisher relation.

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Paper provided by Sonderforschungsbereich 649, Humboldt University, Berlin, Germany in its series SFB 649 Discussion Papers with number SFB649DP2007-029.

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Length: 33
Date of creation: May 2007
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Handle: RePEc:hum:wpaper:sfb649dp2007-029

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Keywords: Panel Cointegration tests; Monte Carlo Study; Fisher Hypothesis.;

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Citations

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Cited by:
  1. Mohsin, Hasan Muhammad, 2011. "Impact of monetary policy on lending and deposit rates in Pakistan: Panel data analysis," MPRA Paper 33301, University Library of Munich, Germany, revised Aug 2011.
  2. Mohsin, Hasan Muhammad & Rivers, P, 2011. "Are domestic banks' pass through higher than foreign banks? Empirical evidence from Pakistan," MPRA Paper 33282, University Library of Munich, Germany, revised Apr 2011.
  3. Abu N.M. Wahid & Mohammad Salahuddin & Abdullah M. Noman, 2010. "Savings and investment in South Asia: Evidence from likelihood ratio based panel cointegration," Journal of Economic Studies, Emerald Group Publishing, vol. 37(6), pages 658-666, September.

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