cajo.test-class {urca} | R Documentation |
This class contains the relevant information by estimating and testing a VAR under linear restrictions on α and β.
Z0
:"matrix"
: The matrix of the
differenced series.Z1
:"matrix"
: The regressor
matrix, except for the lagged variables in levels.ZK
:"matrix"
: The matrix of the
lagged variables in levels.ecdet
:"character"
: Specifies
the deterministic term to be included in the cointegration
relation. This can be either "none", "const", or "trend".H
:"ANY"
: The matrix
containing the restrictions placed upon β.A
:"ANY"
: The matrix
containing the restrictions placed upon α.B
:"ANY"
: The matrix
orthogonal to matrix A.type
:"character"
: The test type.teststat
:"numeric"
: The value
of the test statistic.pval
:"vector"
: The p-value and
the degrees of freedom.lambda
:"vector"
: The
eigenvalues of the restricted model.Vorg
:"matrix"
: The matrix of
eigenvectors, such that hat V_{...}'(H'S_{...}H)hat
V_{...} = I.V
:"matrix"
: The matrix of the
restricted eigenvectors, normalised with respect to the first variable.W
:"matrix"
: The matrix of the
corresponding loading weights.PI
:"matrix"
: The coefficient
matrix of the lagged variables in levels.DELTA
:"ANY"
: The
variance/covarinace matrix of V.DELTA.bb
:"ANY"
: The
variance/covarinace matrix of the marginal factor
B'R_{0t}.DELTA.ab
:"ANY"
: The
variance/covarinace matrix of the conditional distribution of
A'R_{0t} and R_{kt}.DELTA.aa.b
:"ANY"
: The
variance/covarinace matrix of the restricted loading matrix.GAMMA
:"matrix"
: The
coefficient matrix of Z1.test.name
:"character"
: The
name of the test, i.e. `Johansen-Procedure'.
Class `urca'
, directly.
Type showMethods(classes="cajo.test")
at the R prompt for a
complete list of methods which are available for this class.
Useful methods include
show
:summary
:Bernhard Pfaff
Johansen, S. (1988), Statistical Analysis of Cointegration Vectors, Journal of Economic Dynamics and Control, 12, 231–254.
Johansen, S. and Juselius, K. (1990), Maximum Likelihood Estimation and Inference on Cointegration – with Applications to the Demand for Money, Oxford Bulletin of Economics and Statistics, 52, 2, 169–210.
Johansen, S. (1991), Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models, Econometrica, Vol. 59, No. 6, 1551–1580.
ablrtest
, alrtest
, blrtest
,
ca.jo
, ca.jo-class
and urca-class
.