summary-methods {urca} | R Documentation |
Summarises the outcome of unit root/cointegration tests by creating a new object of class sumurca
.
"DF-GLS"
the summary output
of the test regression is provided, too."trace"
or "eigen"
statistic,
the critical values as well as the eigenvalues, eigenvectors and
the loading matrix of the Johansen procedure are reported."Pz"
or "Pu"
statistic,
the critical values as well as the summary output of the test
regression for the Phillips & Ouliaris cointegration test.Bernhard Pfaff
ur.ers-class
, ur.kpss-class
,
ca.jo-class
, cajo.test-class
,
ca.po-class
, ur.pp-class
,
ur.df-class
, ur.sp-class
,
ur.za-class
and sumurca-class
.
data(nporg) gnp <- na.omit(nporg[, "gnp.r"]) gnp.l <- log(gnp) # ers.gnp <- ur.ers(gnp, type="DF-GLS", model="trend", lag.max=4) summary(ers.gnp) # kpss.gnp <- ur.kpss(gnp.l, type="tau", lags="short") summary(kpss.gnp) # pp.gnp <- ur.pp(gnp, type="Z-tau", model="trend", lags="short") summary(pp.gnp) # df.gnp <- ur.df(gnp, type="trend", lags=4) summary(df.gnp) # sp.gnp <- ur.sp(gnp, type="tau", pol.deg=1, signif=0.01) summary(sp.gnp) # za.gnp <- ur.za(gnp, model="both", lag=2) summary(za.gnp) # data(finland) sjf <- finland sjf.vecm <- ca.jo(sjf, constant=FALSE, type="eigen", K=2, season=4) summary(sjf.vecm) # HF0 <- matrix(c(-1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1), c(4,3)) summary(blrtest(sjf.vecm, H=HF0, r=3))