summary-methods {urca} | R Documentation |
Summarises the outcome of unit root/cointegration tests by creating a new object of class sumurca
.
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, ecdet="none", 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))