Arbeitspapier

Phillips-Perron-type unit root tests in the nonlinear ESTAR framework

In this paper, we propose Phillips-Perron type, semiparametric testing procedures to distinguish a unit root process from a mean-reverting exponential smooth transition autoregressive one. The limiting nonstandard distributions are derived under very general conditions and simulation evidence shows that the tests perform better than the standard Phillips-Perron or Dickey-Fuller tests in the region of the null.

Language
Englisch

Bibliographic citation
Series: Diskussionsbeitrag ; No. 315

Classification
Wirtschaft
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Hypothesis Testing: General
Subject
Exponential smooth transition autoregressive model
Unit roots
Monte Carlo simulations
Purchasing Power Parity

Event
Geistige Schöpfung
(who)
Rothe, Christoph
Sibbertsen, Philipp
Event
Veröffentlichung
(who)
Universität Hannover, Wirtschaftswissenschaftliche Fakultät
(where)
Hannover
(when)
2005

Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Arbeitspapier

Associated

  • Rothe, Christoph
  • Sibbertsen, Philipp
  • Universität Hannover, Wirtschaftswissenschaftliche Fakultät

Time of origin

  • 2005

Other Objects (12)