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Dynamic Panel Estimation and Homogeneity Testing Under Cross Section Dependence Author info | Abstract | Publisher info | Download info | Related research | Statistics Peter C.B.Phillips () (Cowles Foundation )
Donggyu Sul (University of Auckland)
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This paper deals with cross section dependence, homogeneity restrictions and small sample bias issues in dynamic panel regressions. To address the bias problem we develop a panel approach to median unbiased estimation that takes account of cross section dependence. The new estimators given here considerably reduce the effects of bias and gain precision from estimating cross section error correlation. The paper also develops an asymptotic theory for tests of coefficient homogeneity under cross section dependence, and proposes a modified Hausman test to test for the presence of homogeneous unit roots. An orthogonalization procedure is developed to remove cross section dependence and permit the use of conventional and meta unit root tests with panel data. Some simulations investigating the finite sample performance of the estimation and test procedures are reported.
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Paper provided by Cowles Foundation, Yale University in its series Cowles Foundation Discussion Papers with number
1362.
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Length: 56 pages
Date of creation: May 2002Date of revision:
Publication status: Published in Econometrics Journal (June 2003), 6(1): 217-259Handle: RePEc:cwl:cwldpp:1362Note: CFP 1136Contact details of provider: Postal: Yale University, Box 208281, New Haven, CT 06520-8281 USA Phone: (203) 432-3702 Fax: (203) 432-6167 Web page: http://cowles.econ.yale.edu/ More information through EDIRC
Order Information: Postal: Cowles Foundation, Yale University, Box 208281, New Haven, CT 06520-8281 USA
For technical questions regarding this item, or to correct its listing, contact: (Glena Ames).
Keywords: Autoregression ; Bias ; Cross section dependence ; Dynamic factors ; Dynamic panel estimation ; GLS estimation ; Homogeneity tests ; Median unbiased estimation ; Modified Hausman tests ; Median unbiased SUR estimation ; Orthogonalization procedure ; Panel unit root test ; Other versions of this item:
Find related papers by JEL classification: 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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