EconPapers    
Economics at your fingertips  
 

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) Downloads
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 ().

 
Page updated 2025-03-19
Handle: RePEc:eee:ecosta:v:2:y:2017:i:c:p:61-72