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022 _a02664666
040 _aMSU
_bEnglish
_cMSU
_erda
050 0 0 _aHB139.T52 ECO
100 1 _aVogelsang, Timothy J.
_eauthor
245 1 0 _aA fixed-b perspective on the Phillips-Perron unit root tests
_ccreated by Timothy J. Vogelsang and Martin Wagner
264 1 _aCambridge:
_bCambridge University Press,
_c2013.
336 _2rdacontent
_atext
_btxt
337 _2rdamedia
_aunmediated
_bn
338 _2rdacarrier
_avolume
_bnc
440 _aEconometric Theory
_vVolume 29, number 3
520 3 _aIn this paper we extend fixed-b asymptotic theory to the nonparametric Phillips–Perron (PP) unit root tests. We show that the fixed-b limits depend on nuisance parameters in a complicated way. These nonpivotal limits provide an alternative theoretical explanation for the well-known finite-sample problems of the PP tests. We also show that the fixed-b limits depend on whether deterministic trends are removed using one-step or two-step detrending approaches. This is in contrast to the asymptotic equivalence of the one- and two-step approaches under a consistency approximation for the long-run variance estimator. Based on these results we introduce modified PP tests that allow for asymptotically pivotal fixed-b inference. The theoretical analysis is cast in the framework of near-integrated processes, which allows us to study the asymptotic behavior both under the unit root null hypothesis and for local alternatives. The performance of the original and modified PP tests is compared by means of local asymptotic power and a small finite-sample simulation study.
650 _anonparametric kernel estimator
_vlong run variance
_xdetrending
700 1 _aWagner, Martin
_eco author
856 _uhttps://doi.org/10.1017/S0266466612000485
942 _2lcc
_cJA
999 _c164476
_d164476