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\name{summary-methods}
\docType{methods}
\alias{summary}
\alias{summary-methods}
\alias{summary,ur.ers-method}
\alias{summary,ur.kpss-method}
\alias{summary,ca.jo-method}
\alias{summary,cajo.test-method}
\alias{summary,ca.po-method}
\alias{summary,ur.pp-method}
\alias{summary,ur.df-method}
\alias{summary,ur.sp-method}
\alias{summary,ur.za-method}
\encoding{latin1}
\title{Methods for Function summary in Package `urca'}
\description{
Summarises the outcome of unit root/cointegration tests by creating a new object of class \code{sumurca}.
}
\section{Methods}{\describe{
\item{object = "ur.df"}{The test type, its statistic, the test
regression and the critical values for the Augmented Dickey and
Fuller test are returned.}
\item{object = "ur.ers"}{The test type, its statistic and the
critical values for the Elliott, Rothenberg and Stock test are
returned. In case of test \code{"DF-GLS"} the summary output
of the test regression is provided, too.}
\item{object = "ur.kpss"}{The test statistic, the critical value as
well as the test type and the number of lags used for error
correction for the Kwiatkowski \emph{et al.} unit root test is
returned.}
\item{object = "ca.jo"}{The \code{"trace"} or \code{"eigen"} statistic,
the critical values as well as the eigenvalues, eigenvectors and
the loading matrix of the Johansen procedure are reported.}
\item{object = "cajo.test"}{The test statistic of a restricted VAR
with respect to \eqn{\bold{\alpha}} and/or \eqn{\bold{\beta}} with
p-value and degrees of freedom is reported. Furthermore, the
restriction matrix(ces), the eigenvalues and eigenvectors as well
as the loading matrix are returned.}
\item{object = "ca.po"}{The \code{"Pz"} or \code{"Pu"} statistic,
the critical values as well as the summary output of the test
regression for the Phillips and Ouliaris cointegration test.}
\item{object = "ur.pp"}{The Z statistic, the critical values as
well as the summary output of the test regression for the Phillips
and Perron test, as well as the test statistics for the
coefficients of the deterministic part is returned.}
\item{object = "ur.df"}{The relevant tau statistic, the critical
values as well as the summary output of the test regression for
the augmented Dickey-Fuller test is returned.}
\item{object = "ur.sp"}{The test statistic, the critical value as
well as the summary output of the test regression for the Schmidt
and Phillips test is returned.}
\item{object = "ur.za"}{The test statistic, the critical values as
well as the summary output of the test regression for the Zivot and
Andrews test is returned.}
}}
\seealso{
\code{\link{ur.ers-class}}, \code{\link{ur.kpss-class}},
\code{\link{ca.jo-class}}, \code{\link{cajo.test-class}},
\code{\link{ca.po-class}}, \code{\link{ur.pp-class}},
\code{\link{ur.df-class}}, \code{\link{ur.sp-class}},
\code{\link{ur.za-class}} and \code{\link{sumurca-class}}.}
\examples{
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))
}
\author{Bernhard Pfaff}
\keyword{methods}
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