xtcipsunb: The CIPS Panel Unit Root Test for Unbalanced Panel Data
Alexander Chudik and
Benjamin Hoham
No 2619, Working Papers from Federal Reserve Bank of Dallas
Abstract:
We develop and demonstrate the command xtcipsunb, which implements the cross-sectionally augmented panel unit root test (CIPS) from Pesaran (2007) and Pesaran, Smith and Yamagata (2013) for unbalanced panels. Several modifications relative to the existing Stata implementations of CIPS test are necessitated by the unbalanced panel data setting, including computing critical values through simulations for a given panel composition. We provide users the ability to specify a minimum number of cross-section units for the computation of cross-section averages, a minimum number of time periods for the computations of individual t-statistics in the CIPS test, as well as two options for the computation of cross-section averages. Monte Carlo experiments demonstrate our modifications are necessary to avoid potentially severe size distortions of the CIPS test in the case of unbalanced panels. An empirical application using annual country-industry macroeconomic data illustrates the use of xtcipsunb command.
Keywords: xtcipsunb; panel time series; time series; unit-root testing; cross-section dependence; unbalanced panels (search for similar items in EconPapers)
JEL-codes: C12 (search for similar items in EconPapers)
Date: 2026-07-07
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.dallasfed.org/research/papers/2026/wp2619 (text/html)
https://www.dallasfed.org/~/media/documents/research/papers/2026/wp2619.pdf Full text (application/pdf)
https://www.dallasfed.org/~/media/documents/research/papers/2026/wp26192.zip Codes (application/zip)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:fip:feddwp:103516
Ordering information: This working paper can be ordered from
DOI: 10.24149/wp2619
Access Statistics for this paper
More papers in Working Papers from Federal Reserve Bank of Dallas Contact information at EDIRC.
Bibliographic data for series maintained by Amy Chapman ().