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040 _aMSU
_bEnglish
_cMSU
_erda
050 _aHB139.T52 ECO
100 1 _aSmith Richard J
_eauthor
245 1 0 _aRegression-based seasonal unit root tests
_cby Richard J. Smith , A.M. Robert Taylor and Tomas del Barrio Castro
264 1 _aCambridge :
_bCambridge University Press,
_c2009
336 _2rdacontent
_atext
_btxt
337 _2rdamedia
_aunmediated
_bn
338 _2rdacarrier
_avolume
_bnc
440 _aEconometric theory
_vVolume 25, number 2
520 _aThe contribution of this paper is threefold. First, a characterization theorem of the subhypotheses comprising the seasonal unit root hypothesis is presented that provides a precise formulation of the alternative hypotheses associated with regression- based seasonal unit root tests. Second, it proposes regression-based tests for the seasonal unit root hypothesis that allow a general seasonal aspect for the data and are similar both exactly and asymptotically with respect to initial values and seasonal drift parameters. Third, limiting distribution theory is given for these statistics where, in contrast to previous papers in the literature, in doing so it is not assumed that unit roots hold at all of the zero and seasonal frequencies. This is shown to alter the large-sample null distribution theory for regression t-statistics for unit roots at the complex frequencies, but interestingly to not affect the limiting null distributions of the regression t-statistics for unit roots at the zero and Nyquist frequencies and regression F-statistics for unit roots at the complex frequencies. Our results therefore have important implications for how tests of the seasonal unit root hypothesis should be conducted in practice. Associated simulation evidence on the size and power properties of the statistics presented in this paper is given that is consonant with the predictions from the large-sample theory.
650 _aRegression analysis
700 1 _aTaylor Robert
_eco-author
700 1 _aBarrio Castro Tomas del
_eco-author
856 _u10.1017/S0266466608090166
942 _2lcc
_cJA
999 _c164606
_d164606