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Testing for Stationarity in Panel Data Models when Disturbances are Cross-Sectionally Correlated Author info | Abstract | Publisher info | Download info | Related research | Statistics Jönsson, Kristian () (Department of Economics, Lund University)
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In this paper, we investigate the effects of cross-sectional disturbance correlation on a previously suggested panel data stationarity test. We find that the previously suggested test has a serious size distortion if the disturbances to different cross sections are correlated. We suggest a new panel data test procedure that also tests the null hypothesis of stationarity. However, the test procedure that we suggest is robust against the presence of cross-sectional disturbance correlation, as well as serial correlation. Furthermore, the test has an approximate normal distribution and which makes p-values and critical values easy to obtain. By applying our test to investigate output convergence, we illustrate the adverse effects that can occur when neglecting to account for cross-sectional correlation when testing for stationarity in panel data models.
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Paper provided by Lund University, Department of Economics in its series Working Papers with number
2004:17.
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Length: 25 pages
Date of creation: 04 Jun 2004Date of revision:
26 Nov 2004Handle: RePEc:hhs:lunewp:2004_017Contact details of provider: Postal: Department of Economics, School of Economics and Management, Lund University, Box 7082, S-220 07 Lund,Sweden Phone: +46 +46 222 0000 Fax: +46 +46 2224613 Web page: http://www.nek.lu.se/ More information through EDIRC
For technical questions regarding this item, or to correct its listing, contact: (David Edgerton).
Keywords: Panel-Data Stationarity ; Cross-Sectional Dependence ; Output Convergence ; Other versions of this item:
Find related papers by JEL classification: C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data
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Kristian Jönsson, 2006.
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