Nonparametric Rank Tests for Non-stationary Panels

Abstract: This study develops new rank tests for panels that include panel unit root tests as a special case. The tests are unusual in that they can accommodate very general forms of both serial and cross-sectional dependence, including cross-unit cointegration, without the need to specify the form...

Ausführliche Beschreibung

Bibliographische Detailangaben
Link(s) zu Dokument(en):IHS Publikation
Hauptverfasser: Pedroni, Peter, Vogelsang, Timothy J., Wagner, Martin
Format: IHS Series NonPeerReviewed
Sprache:Englisch
Veröffentlicht: Institut für Höhere Studien 2011
Beschreibung
Zusammenfassung:Abstract: This study develops new rank tests for panels that include panel unit root tests as a special case. The tests are unusual in that they can accommodate very general forms of both serial and cross-sectional dependence, including cross-unit cointegration, without the need to specify the form of dependence or estimate nuisance parameters associated with the dependence. The tests retain high power in small samples, and in contrast to other tests that accommodate cross-sectional dependence,the limiting distributions are valid for panels with finite cross-sectional dimensions.;