cajools {urca} | R Documentation |
This function returns the OLS regressions of an unrestricted VECM,
i.e. it returns an object of class lm
. The user can provide a
certain number of which equation in the VECM should be estimated and
reported, or if "reg.number=NULL"
each equation in the VECM
will be estimated and its results are reported.
cajools(z, reg.number = NULL)
z |
An object of class ca.jo or cajo.test . |
reg.number |
The number of the equation in the VECM that should
be estimated or if set to NULL (the default), all equations
within the VECM are estimated. |
Returns an object of class lm
.
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.
ca.jo
, cajorls
, lm
,
ca.jo-class
and urca-class
.
data(denmark) sjd <- denmark[, c("LRM", "LRY", "IBO", "IDE")] sjd.vecm1 <- ca.jo(sjd, ecdet = "const", type="eigen", K=2, spec="longrun", season=4) sjd.vecm2 <- ca.jo(sjd, ecdet = "const", type="eigen", K=2, spec="transitory", season=4) sjd.vecm.ols1 <- cajools(sjd.vecm1) sjd.vecm.ols2 <- cajools(sjd.vecm2) summary(sjd.vecm.ols1) summary(sjd.vecm.ols2)