Arbeitspapier

A simple unit root test consistent against any stationary alternative

This paper proposes t-like unit root tests which are consistent against any stationary alternatives, nonlinear or noncausal ones included. It departs from existing tests in that it uses an unbounded grid set including all possible values taken by the series. In our setup, thanks to the very simple nonlinear stationary alternative specification and the particular choice of the thresholds set, the proposed unit root test contains the standard ADF test as a special case. This, in turn, yields a sufficient condition for consistency against any ergodic stationary alternative. From a Monte-Carlo study, it turns out that the power of our unbounded non adaptive tests, in their average and exponential versions, outperforms existing bounded tests, either adaptive or not. This is illustrated by an application to interest rate spread data.

Sprache
Englisch

Erschienen in
Series: Document de travail ; No. 2020-16

Klassifikation
Wirtschaft
Hypothesis Testing: General
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Interest Rates: Determination, Term Structure, and Effects
Thema
Unit root test
Threshold autoregressive model
Interest rate spread

Ereignis
Geistige Schöpfung
(wer)
Bec, Frédérique
Guay, Alain
Ereignis
Veröffentlichung
(wer)
Université du Québec à Montréal, École des sciences de la gestion (ESG UQAM), Département des sciences économiques
(wo)
Montréal
(wann)
2020

Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Bec, Frédérique
  • Guay, Alain
  • Université du Québec à Montréal, École des sciences de la gestion (ESG UQAM), Département des sciences économiques

Entstanden

  • 2020

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