Thank you! I'm going to look into that straight away.
Manu
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some
other classes but unfortunately not /*plm*/. I am pretty sure others must
have encountered this problem and I am hoping they found a way around it.
If so: I am gratful for any advice/help or even just a hint.
ManuelS
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Hey
I am trying to run /coeftest()/ using a heteroskedasticity-consistent
estimation of the covariance matrix and i get this error:
# packages
>library(lmtest)
>library(sandwich)
#test
> coeftest(*GSm_inc.pool*, vcov = vcovHC(*GSm_inc.pool*, method="arellano",
> type="HC3"))
/Fehler in 1 - diagh
hey guys
I have a panel data set that i want to perform some regressions on. I am
using the /plm/ package.
I defined a model in the following way:
PWBw.pool <- plm(*PWB* ~ log(*I_EQON*) + log(*RD*) + ... + *PAGRI*,
data = pfem, na.action=na.exclude, model="pooling")
When i run this it gives the
Hey
The size doesnt matter - so far. What your looking for is /read.csv()/ or
/read.csv2()/
A simple exemple would look like this:
name <- read.csv2("C:/blablabla.../filename.csv", header=TRUE, sep=";",
dec=".", na.strings="NA")
header = TRUE leaves a row for columne titles (i suppose ur column
Hi,
I'm working with panel data from the Swiss Houshold Panel (SHP). The data i
got came in the following way:
1.) 12 *different* /individual/ files - one for each year .
2.) 12 *different* /houshold/ files - again: one for each year
Each file came in the SPSS format (.sav). I implemented all the
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