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Pesaran <- function(resids)
#
# This function computes Pesaran's (2004) test for cross-dependence in panels.
# Arguments:
# resids: TxN matrix of residuals from N single-equation models over N time series of length T
#
# Value:
# a list of class ``htest'' containing
# statistic: the test statistic
# parameter: the length of time series (T) and the number of models (N)
# p.value: the test p-value
# conf.int: not used
# estimate: not used
# null.value: the specified hypothesized value under the null
# alternative: a character string describing the alternative hypothesis
# method: a character srting indicating the type of test
# data.name: a character string giving the name of the data set
#
# Reference:
# Pesaran, M.H. (2004): "General Diagnostic Tests for Cross Section Dependence in Panels"
# University of Cambridge, mimeo
#
{
T <- dim(resids)[1]
N <- dim(resids)[2]
residCorr <- cor(resids, use="pairwise.complete.obs")
# test statistic
CD <- sqrt(2*T/N/(N-1)) * sum(residCorr - diag(N))/2
# p.value
p.value <- 2*(1-pnorm(abs(CD)))
output <- list(statistic=c("CD"=CD),
parameter=c("N"=N, "T"=T),
p.value=p.value,
conf.int=NULL,
estimate=NULL,
null.value=c("CD"=0),
alternative="two.sided",
method="Pesaran's test for residuals cross-correlation",
data.name=deparse(substitute(resids)))
class(output) <- "htest"
return(output)
}
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