Sieve bootstrap for nonstationary panel factor models
AbstractThis paper considers bootstrapping nonstationary panel factor mod- els when possible time dependence is present in the factors dynamics. The analysis does not assume any speci.c DGP, and a sieve bootstrap algorithm is proposed to approximate the autocorrelation structure of the processes involved in the model. The conditions under which sieve bootstrap yields consistent estimators and test statistics are explored, and a selection rule for the order of the approximation of the AR dy- namics is derived. Two main results are shown. First, an invariance principle for the partial sums of the bootstrap samples of the .rst di¤erences of the estimated factors is shown to hold for large T and .nite or large n. Secondly, it is proved that bootstrap estimates and test statistics are consistent only for (n; T) ! 1, whilst the .nite n case results in inconsistent bootstrap. Sieve bootstrap is shown to be consistent for the .xed n case only in presence of no serial correlation.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Department of Economics and Technology Management, University of Bergamo in its series Working Papers with number 0812.
Date of creation: 2008
Date of revision:
Contact details of provider:
Postal: viale Marconi 5, 24044 Dalmine
Web page: http://www.unibg.it/struttura/en_struttura.asp?cerca=en_dige_intro
More information through EDIRC
You can help add them by filling out this form.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (University of Bergamo Library).
If references are entirely missing, you can add them using this form.