There are many time-series does not have the status of stationary,
so researchers began to address this problem and adopted for this
purpose several methods, such as the subject of the unit root test.
This is a test of the important tests being shows the number of equalseated to the right one, which corresponds to the number of necessary
differences of the time series in order to turn to stationary , and
that the basic purpose for which we seek in this study, which
constitute the axis foundation here is the comparison between
the methods of test unit root for the stationary of the time series in
pursuit of the best and most able to determine the conditions
under which they operate in the methods , The use
of simulation method stems from a lack of access to the real system's
because of the nature of the restrictions that govern it, so the
availability of adequate information on this system and represent the
relationship of mathematic
function which represented properly when we can simulate this
system to understand the way it works , the results proved that there
is complete agreement between the two methods (ADF,PP) for all
sample sizes and all parameters, as well as there is complete
agreement in the results between the two (KPSS, LM) and also for all
sample sizes and all parameters in terms of the number of times the
state of stationary, and the value of the (P-value ). |