Identifying I(0) Series in Macro-panels: Are Sequential Panel Selection Methods Useful?

Mauro Costantini and Claudio Lupi

Economics & Statistics Discussion Papers from University of Molise, Department of Economics

Abstract: Sequential panel selection methods (spsms) are based on the repeated application of panel unit root tests and are increasingly used to identify I (0) time series in macro- panels. We check the reliability of spsms by using Monte Carlo simulations based on generating the individual test statistics and the p values to be combined into panel unit root tests, both under the unit root null and under selected local alternatives. The analysis is carried out considering both independent and dependent test statistics. We show that spsms do not possess better classification performances than conventional univariate tests.

Keywords: Unit root; Panel data; ROC curve; Simulation (search for similar items in EconPapers)
JEL-codes: C12 C15 C23 (search for similar items in EconPapers)
Pages: 18
Date: 2014-03-29
New Economics Papers: this item is included in nep-ecm, nep-ets and nep-ger
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://web.unimol.it/progetti/repec/mol/ecsdps/ESDP14073.pdf (application/pdf)

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:mol:ecsdps:esdp14073

Access Statistics for this paper

More papers in Economics & Statistics Discussion Papers from University of Molise, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Claudio Lupi ().