Notice: On March 31, it was **announced** that Statalist is moving from an email list to a **forum**. The old list will shut down on April 23, and its replacement, **statalist.org** is already up and running.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
joales salbdralor <joalessakafiora@googlemail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: testing for cross sectional dependence in a dynamic model |

Date |
Thu, 14 Jun 2012 16:21:15 +0200 |

Hi all, I have a panel data set consisting of 11 countries and 7 years. I want to test for cross sectional dependence using Pesaran's test in the conext of a dynamic linear fixed effects model. In the paper "'Testing for Cross-sectional Dependence in Panel Data Models'. published by stata journal it is mentioned in the concluding remarks section that "In dynamic panels, Pesaranʼs test remains valid under FE/RE estimation (even if the estimated parameters are biased) and therefore it may be the preferred choice, since the properties of the remaining tests in dynamic panels are not yet known. On the other hand, if common time effects have been included in the dynamic panel (and the panel is short), the test by Sarafidis, Yamagata, and Robertson (2006) may be used." My model specification is the following Υ_it=a+bY_i(t-1)+cX_it++a_i+e_it_ where a_i is a FE. the model does not contain time effects. I can not understand 2 things 1) should I apply Pesaran's test to the above dynamic model after having estimated it with LSDV estimator. That is, xtreg depvar laggeddepvar other regressors, fe cluster (id) xtcsd, pesaran abs However, when I perfom this test stata says that can not find some regressors. Mysteriously some variables drop from the model. It this because I use wrong approach in my code?. Does this have to do with the fact that some regressors are correlated (corr coeff=0.4 or 0.52). Does this has to do with the fact that I have 11 countries and 7 years only? Also I use stata 10. 2) If I find cross sectional dependence how do I proceed in terms of the estimation of the dynamic panel FE model. That is , can I still apply Blundel-Bover estimator ? Should I correct the standard errors with another formula? Thank you for your time On 6/12/12, joales salbdralor <joalessakafiora@googlemail.com> wrote: > Dear all, > > > I have a panel data set consisting of 11 countries and 7 years. > I want to test for cross sectional dependence using Pesaran's test in > the conext of a dynamic linear fixed effects model. > > In the paper "'Testing for Cross-sectional Dependence in Panel Data > Models'. published by stata journal it is mentioned in the concluding > remarks section that > > "In dynamic panels, > Pesaranʼs test remains valid under FE/RE estimation (even if the > estimated parameters > are biased) and therefore it may be the preferred choice, since the > properties of the > remaining tests in dynamic panels are not yet known. On the other > hand, if common > time effects have been included in the dynamic panel (and the panel is > short), the test > by Sarafidis, Yamagata, and Robertson (2006) may be used." > > My model specification is the following > Υ_it=a+bY_i(t-1)+cX_it++a_i+e_it_ > > where a_i is a FE. the model does not contain time effects. > I can not understand 2 things > 1) should I apply Pesaran's test to the above dynamic model after > having estimated it with LSDV estimator. That is, > > xtreg depvar laggeddepvar other regressors, fe cluster (id) > xtcsd, pesaran abs > > However, when I perfom this test stata says that can not find some > regressors. Mysteriously some variables drop from the model. It this > because I use wrong approach in my code?. Does this have to do with > the fact that some regressors are correlated (corr coeff=0.4 or 0.52). > Does this has to do with the fact that I have 11 countries and 7 > years only? Also I use stata 10. > 2) If I find cross sectional dependence how do I proceed in terms of > the estimation of the dynamic panel FE model. That is , can I still > apply Blundel-Bover estimator ? Should I correct the standard errors > with another formula? > > > Thank you for your time > > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ > * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: testing for cross sectional dependence in a dynamic model***From:*joales salbdralor <joalessakafiora@googlemail.com>

- Prev by Date:
**st: Test whether assumptions for cluster estimator of VCE are fulfilled** - Next by Date:
**RE: st: RE: RE: RE: RE: Combining multiple observations by an ID variable** - Previous by thread:
**st: testing for cross sectional dependence in a dynamic model** - Next by thread:
**st: Combining multiply imputed datasheets according to Rubin's Rules** - Index(es):