ur.za-class {urca} | R Documentation |
This class contains the relevant information by applying the Zivot & Andrews unit root test to a time series.
y
:"vector"
: The time series to
be tested.model
:"character"
: The model
to be used, i.e. intercept, trend or bothlag
:"integer"
: The highest
number of lags to include in the test regression.teststat
:"numeric"
: The t-statistic.cval
:"vector"
: Critical values
at the 1%, 5% and 10% level of significance.bpoint
:"integer"
: The
potential break point.tstats
:"vector"
The
t-statistics of the rolling regression.res
:"vector"
The residuals of
the test regression.test.name
:"character"
The name
of the test, i.e. `Zivot & Andrews'.testreg
:"ANY"
The summary
output of the test regression.
Class urca
, directly.
Type showMethods(classes="ur.za")
at the R prompt for a
complete list of methods which are available for this class.
Useful methods include
show
:summary
:plot
:Bernhard Pfaff
Zivot, E. and Andrews, Donald W.K. (1992), Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis, Journal of Business & Economic Statistics, 10(3), 251–270.
Download possible at: http://cowles.econ.yale.edu/, see rubric 'Discussion Papers (CFDPs)'.
ur.za
and urca-class
.