Hi All,
I am trying to do an instrumental variables regression with time series data
in R 2.11.0. I am using the package AER and have so far used "ivreg" for
estimation. I would also like to do some postestimation tests: test for
endogeniety, test of overidentifying restrictions and test of weak
i
Thanks.
On Thu, May 6, 2010 at 7:49 PM, Gabor Grothendieck
wrote:
> See ?rollapply in the zoo package.
>
> On Thu, May 6, 2010 at 6:20 PM, Dipankar Basu wrote:
> > Hi All,
> >
> > I am using R 2.11.0 on a Ubuntu machine. I have a time series data set
> and
>
Hi All,
I am using R 2.11.0 on a Ubuntu machine. I have a time series data set and
want to run rolling regressions with it. Any suggestions would be useful.
Here are the details:
(1) I convert relevant variables into time series objects and compute first
differences:
vad <- ts(data$ALLGVA/data$
n this? Is there any reason to
prefer one to the other?
Deepankar
On Sun, May 2, 2010 at 3:51 PM, Achim Zeileis wrote:
> On Sun, 2 May 2010, Dipankar Basu wrote:
>
> Hi All,
>>
>> I am using R 2.11.0 on a Ubuntu machine. I estimated a model using "tsls"
>>
Please ignore my previous message about the difference between "tsls" and
"ivreg" results; that was my mistake.
Deepankar
On Sun, May 2, 2010 at 5:10 PM, Dipankar Basu wrote:
> Thanks.
>
> Estimation of the same model with the same dataset gives different result
Hi All,
I am using R 2.11.0 on a Ubuntu machine. I estimated a model using "tsls"
from the package "sem". Is there a way to get Newey West standard errors for
the parameter estimates?
When estimating the model by OLS, I used "NeweyWest" from the package
"sandwich" to get HAC standard errors. But,
cify the index twice):
>
> > # 3
> > library(zoo)
> > coredata(window(as.zoo(tt), index = 1961.5))
> [1] 0.92
>
> (Without coredata it returns a length 1 zoo series rather than just a
> number.)
>
> On Sat, Jan 30, 2010 at 9:22 AM, Dipankar Basu wrote:
> &
Hi All,
I have a very simple question about a time series object: how to access
values for a particular year and quarter (say)?
Suppose, following
http://www.stat.pitt.edu/stoffer/tsa2/R_time_series_quick_fix.htm
I have read in data as a time series; here is how it looks.
* Qtr1 Qtr2 Q
Hi R Users,
I have a dataframe like this:
id x rho
A 1 0.1
B 20 0.5
C 2 0.9
...
I want to do a scatter plot of "x" versus "rho" but for each point on the
scatter plot I want the corresponding entry for "id" instead of points. In
STATA I can do so by
twoway (scatter x rho, mlabel(id))
Hi R Users,
I have produced a simulated scatter plot of y versus x tightly clustered
around the 45 degree line through the origin with the following code:
x <- seq(1,100)
y <- x+rnorm(100,0,10)
plot(x,y,col="blue")
abline(0,1)
Is there some way to generate a 3-dimensional analogue of this? C
Hi!
I am using R version 2.7.0 and am working on a panel dataset read into R as
a dataframe; I call it "ex". The variables in "ex" are: id year x
id: a character string which identifies the unit
year: identifies the time period
x: the variable of interest (which might contain NAs).
Here is an
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