Meta-analytic cointegrating rank tests for dependent panels
Deniz Karaman Örsal and
Antonia Arsova
Econometrics and Statistics, 2017, vol. 2, issue C, 61-72
Abstract:
Two new panel cointegrating rank tests which are robust to cross-sectional dependence are proposed. The dependence in the data generating process is modeled using unobserved common factors. The new tests are based on a meta-analytic approach, in which the p-values of the individual likelihood-ratio (LR) type test statistics computed from defactored data are combined into the panel statistics. A simulation study shows that the tests have reasonable size and power properties in finite samples. The application of the tests is illustrated by investigating the monetary exchange rate model for a panel data of 19 countries.
Keywords: Panel cointegration; p-value; Common factors; Rank test; Cross-sectional dependence (search for similar items in EconPapers)
JEL-codes: C12 C15 C33 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S2452306216300028
Full text for ScienceDirect subscribers only. Contains open access articles
Related works:
Working Paper: Meta-analytic cointegrating rank tests for dependent panels (2015) 
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:eee:ecosta:v:2:y:2017:i:c:p:61-72
DOI: 10.1016/j.ecosta.2016.10.001
Access Statistics for this article
Econometrics and Statistics is currently edited by E.J. Kontoghiorghes, H. Van Dijk and A.M. Colubi
More articles in Econometrics and Statistics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().