TY - JOUR
T1 - Performance of unit-root tests for non linear unit-root and partial unit-root processes
AU - Zhang, Lingxiang
N1 - Publisher Copyright:
© 2016, © Taylor & Francis Group, LLC.
PY - 2016/8/2
Y1 - 2016/8/2
N2 - ABSTRACT: This paper investigates the finite-sample performance of the augmented Dickey–Fuller (ADF), Phillips–Perron (PP), momentum threshold autoregressive (M-TAR), Kapetanios–Shin–Snell (KSS), and the inf-t unit-root tests. Simulation results show that the ADF and KSS tests have better size, whereas other tests generate severe size distortions when the date-generating processes are non linear unit-root processes. In general, with regard to the combination of test powers with test sizes, the ADF and KSS tests are comparatively better than the PP, M-TAR, and inf-t tests; moreover, the inf-t test exhibits the poorest performance even for larger sample sizes.
AB - ABSTRACT: This paper investigates the finite-sample performance of the augmented Dickey–Fuller (ADF), Phillips–Perron (PP), momentum threshold autoregressive (M-TAR), Kapetanios–Shin–Snell (KSS), and the inf-t unit-root tests. Simulation results show that the ADF and KSS tests have better size, whereas other tests generate severe size distortions when the date-generating processes are non linear unit-root processes. In general, with regard to the combination of test powers with test sizes, the ADF and KSS tests are comparatively better than the PP, M-TAR, and inf-t tests; moreover, the inf-t test exhibits the poorest performance even for larger sample sizes.
KW - Monte Carlo simulation
KW - Partial unit root
KW - Unit-root tests
UR - https://www.scopus.com/pages/publications/84975231548
U2 - 10.1080/03610926.2014.922985
DO - 10.1080/03610926.2014.922985
M3 - Article
AN - SCOPUS:84975231548
SN - 0361-0926
VL - 45
SP - 4528
EP - 4536
JO - Communications in Statistics - Theory and Methods
JF - Communications in Statistics - Theory and Methods
IS - 15
ER -