Hi all,
I want to ask you which is the difference between the specifyng and
not specifyng the covariance matrix of the estimated coefficients when
performing the coeftest command.
I'm estimating a VECM model and I want to test the significance of the
short-run casual effects of the expla
Hello,
I'm using the spatial weights matrix of the 103 Italian provinces
"itaww" of the package splm
example:
library(splm)
data(itaww)
itaww
It is a matrix of 103 rows and 103 columns. Each row (and each column)
corresponds to an italian province and I would like to know the row's
nam
Hi all,
I'm using pglm package to estimate a static random probit model of the type:
Yi,t = B1X1i,t-k +... + BzXzi,t-k + Ci+ Ui,t
Where Yi={0,1} and all explenatory variables are continuous.
the function I use is:
pglm(formula,, Data, family = binomial(probit), model =
"random",method= "bfg
Hi all,
I have estimated a random panel model using plm function.
I have a question about the vector of resduals obtained with the
object $residuals.
example:
data("Produc", package = "plm")
zz <- plm(log(gsp) ~ log(pcap) + log(pc) + log(emp) + unemp,
model="random", data = Produc, index
Hi all,
what indicates the parameter theta in the summary of a random effect
panel model estimated with the plm function?
example:
data("Produc", package = "plm")
zz <- plm(log(gsp) ~ log(pcap) + log(pc) + log(emp) + unemp,
model="random", data = Produc, index = c("state","year"))
summar
Maybe you can use "round" and "trunc" functions
For example if you have a vector like this:
x<- c(3.000 3.125 3.250 3.375 3.500 3.625 3.750 3.875 4.000)
and you want to round the numbers to 2 decimals you can use:
round(x,2)
[1] 3.00 3.12 3.25 3.38 3.50 3.62 3.75 3.88 4.00
if you want a n
Hi,
I need to generate a barplot in in which the x-labels must to be
perpendiculars to the x-axis
in my data have a list of probability values correspondings to a list
of Countries. In the barplot the name of each Country, under each
bar, appears parallel to the x axis. Is possibile rota
Dear all,
we are computing maximum likelihood estimations using maxLik package
and we realized that the results of the estimation depend on the
version of the package installed
for example if we try to estimate this function with an old version of
maxLik under R 2.13.1 (32 bit version ins
I'm using the package pglm and I'have estimated a "random probit model".
I need to save in a vector the fitted values and the residuals of the
model but I can not do it.
I tried with the command fitted.values using the following procedure
without results:
library(pglm)
m1_S<-pglm(Feed ~ C
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