Last data update: 2014.03.03

R: Likelihood ratio test for restrictions on alpha
alrtestR Documentation

Likelihood ratio test for restrictions on alpha

Description

This function estimates a restricted VAR, where the restrictions are base upon old{α}, i.e. the loading vectors. The test statistic is distributed as χ^2 with r(p-m) degrees of freedom, with m equal to the columns of the restricting matrix old{A}.

Usage

alrtest(z, A, r)

Arguments

z

An object of class ca.jo.

A

The (p \times m) matrix containing the restrictions on old{α}.

r

The count of cointegration relationships;
inferred from summary(ca.jo-object).

Details

The orthogonal matrix to old{A} can be accessed as object@B. The restricted old{α} matrix is normalised with respect to the first variable.

Value

An object of class cajo.test.

Author(s)

Bernhard Pfaff

References

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.

See Also

ca.jo, blrtest, ablrtest, cajo.test-class, ca.jo-class and urca-class.

Examples

data(denmark)
sjd <- denmark[, c("LRM", "LRY", "IBO", "IDE")]
sjd.vecm <- ca.jo(sjd, ecdet = "const", type="eigen", K=2, spec="longrun",
season=4)
DA <- matrix(c(1,0,0,0), c(4,1))
summary(alrtest(sjd.vecm, A=DA, r=1))

Results