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CPS1461 Michal P. et. al
                                   ,  = ()         ,  = () + (, ),  < .
                      The limiting distribution depends on the unknown correlation structure of
                  the panel changepoint model, which has to be estimated for testing purposes.
                  The way of its estimation is shown in Maciak et al. (2018). Theorem 3.1 could
                  be  extended  for  the  bootstrap  version  of  the  test,  where  the  correlation
                  structure need not to be known neither estimated. Thus, Theorem 3.1 can also
                  be viewed as a theoretical mid-step for justification of the bootstrap add-on.
                  Note,  that  in  case  of  independent  observations  within  the  panel,  the
                  correlation structure and, hence, the covariance matrix Λ, are both simplified
                  such that () =  and (, ) = 0.
                      We proceed to the assumption that is needed for deriving the asymptotic
                  behaviour of the proposed test statistics under the alternative.

                  Assumption A  4
                                                   (∑    ) 2
                                                         
                                               lim   =1    = ∞
                                              →∞ ∑     2
                                                     =1
                      Next, we show how the test statistics behave under the alternative.

                  Theorem 3.2 (Under alternative). If   ≤  − 2, then under Assumptions A  1–
                  A  4, and alternative  ,
                                        
                                                 p      p
                  (4)                   R N () →     ∞ ←    S  N ()
                                               →∞    →∞

                      Assumption A  4 controls the trade-off between the size of breaks and the
                  variability of errors. It may be considered
                  as a detectability assumption, because it specifies the value of signal-to-noise
                  ratio. Assumption A   4 is satisfied, for instance, if 0 <  ≤  , ∀ (a common
                                                                             
                  lower changepoint threshold) and  ≤ , ∀ (a common upper variance
                                                     
                  threshold). Another suitable example of  ’s, for the condition in Assumption
                                                          
                  A  4,  can  be  0 <  =  −1/2+   for  some   > 0  and   > 0   together  with
                                     
                       1    2                            2
                   lim  ∑     < ∞. Or,  a  sequence {∑    ⁄ }   equibounded  away  from
                  →∞   =1                       =1    
                  infinity with  =  −1 √ may be used as well, where  ≥ 0 and  > 0. The
                               
                  assumption  ≤  − 2 means that there are at least two observations in the
                  panel after the changepoint.
                      Theorem  3.2  says  that  in  presence  of  a  structural  change  in  the  panel
                  means, the test statistics explode above all bounds. Hence, the procedures are
                  consistent and the asymptotic distributions from Theorem 3.1 can be used to
                  construct the tests.




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