Displaying 20 results from an estimated 1000 matches similar to: "fixed effects with clustered standard errors"
2012 Feb 07
1
fixed effects linear model in R
Dear R-helpers,
First of all, sorry for those who have (eventually) already received that request.
The mail has been bumped several times, so I am not sure the list has received it... and I need help (if you have time)! ;-)
I have a very simple question and I really hope that someone could help me
I would like to estimate a simple fixed effect regression model with clustered standard errors by
2012 Mar 12
2
Replicating Stata's xtreg clustered SEs in R
I'm trying to replicate a time-series cross-sectional analysis
(countries over years) with SEs clustered by country. ?The original
analysis was done in Stata 10 with: xtreg [DV] [IVs] fe
cluster(country).
Using plm() in R (cran.r-project.org/web/packages/plm/index.html),
I've replicated the coefficients. I sought to estimate
country-clustered SEs with vcovHC(), and tried a variety of
2013 Sep 09
1
theta parameter - plm package
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"))
summary(zz)
Effects:
var std.dev
2010 Oct 14
1
robust standard errors for panel data - corrigendum
Hello again Max. A correction to my response from yesterday. Things were better than they seemed.
I thought it over, checked Arellano's panel book and Driscoll and Kraay (Rev. Econ. Stud. 1998) and finally realized that vcovSCC does what you want: in fact, despite being born primarily for dealing with cross-sectional correlation, 'SCC' standard errors are robust to "both
2010 May 24
1
Fixed Effects Estimations (in Panel Data)
dear readers---I struggled with how to do nice fixed-effects
regressions in large economic samples for a while. Eventually, I
realized that nlme is not really what I needed (too complex), and all
I really wanted is the plm package. so, I thought I would share a
quick example.
################ sample code to show fixed-effects models? in R
# create a sample panel data set with firms and years
2012 Mar 08
1
Panel models: Fixed effects & random coefficients in plm
Hello,
I am using {plm} to estimate panel models. I want to estimate a model that
includes fixed effects for time and individual, but has a random individual
effect for the coefficient on the independent variable.
That is, I would like to estimate the model:
Y_it = a_i + a_t + B_i * X_it + e_it
Where i denotes individuals, t denotes time, X is my independent variable,
and B (beta) is the
2012 Mar 20
1
MA process in panels
Dear R users,
I have an unbalanced panel with an average of I=100 individuals and a total
of T=1370 time intervals, i.e. T>>I. So far, I have been using the plm
package.
I wish to estimate a FE model like:
res<-plm(x~c+v, data=pdata_frame, effect="twoways", model="within",
na.action=na.omit)
?where c varies over i and t, and v represents an exogenous impact on x
2018 Feb 20
1
"Within" model in plm package: is the reported R-squared correct?
Hi everyone,
I am doing panel data analysis using the 'plm' package. However, I have
noticed that the plm() function reports a different value of R-squared from
the R-squared of the lm() function with time-demeaned data. To be clear, I
have tried to compute the within model both manually (run an OLS regression
with time-demeaned data using lm()) and by using plm(). The two methods
give me
2012 Oct 10
6
Exporting summary plm results to latex
Dear all,
I am trying to export my fixed effect results to Latex. I am using the plm package with the summary function. However, it does not look like apsrtable, stargazer, or any other package can accompany using the plm package.
I am interested in a classic table with the coefficient in one row followed by the standard error in paranthesis in the next row and stars by the coefficient to show
2013 Sep 04
2
Attribute Length Error when Trying plm Regression
Hello,
I am trying to run a fixed effects panel regression on data containing 5
columns and 1,494 rows.
I read the data in as follows:
>drugsXX<-read.csv(file="C:\\Folder\\vX.X\\Drugs\\drugsXX_panel.csv",
head=TRUE, sep=",")
Verified it read in correctly and had a good data.frame:
>dim(drugsXX)
[1] 1494 5
>drugs XX
produce expected data with correct column
2009 Aug 03
1
plm summary error
Dear "plm"-Package insiders,
[I posted the following observation is April already but unfortunately I am not aware of any answers.
With the hope that someone found an answer in the mean time, I ask again:]
I realized the following difficulty with the summary.plm function (demonstrated with the example from the ?plm documentation).
library(plm)
data("Produc",
2010 Feb 04
1
plm issues: error for "within" or "random", but not for "pooling"
Dear all
I am working on unbalanced panel data and I can readily fit a
"pooling" model using plm(), but not a "within" or "random" model.
Reproducing the examples in vignette("plm") and in the AER package I
encountered no such issues.
##unfortunately I cannot disclose the data, and it is too big anyway
> dim(ibes.kld.exp.p[x.subs , ])
[1] 13189 34
2009 Nov 09
3
Bug in all.equal() or in the plm package
Hi!
I noticed that there is a (minor) bug either the command all.equal()
or in the "plm" package. I demonstrate this using an example taken
from the documentation of plm():
======================================
R> data("Produc", package="plm")
R> zz <- plm(log(gsp)~log(pcap)+log(pc)+log(emp)+unemp,
+ data=Produc,
2010 Mar 10
1
Trouble with plm in Ubuntu 9
Hello,
Apologies in advance if this is a stupid question. I am running R on Ubuntu
9.
R version 2.9.2 (2009-08-24)
I am trying to work with plm. I think the library is installed, as I can do
> library(plm)
Loading required package: kinship
Loading required package: survival
Loading required package: splines
Loading required package: nlme
Loading required package: lattice
[1] "kinship
2012 Oct 29
1
Hausman test error solve
Hello,
I am trying to conduct a Hausman test to choose between FE estimators and RE
estimators.
When I try to run:
library(plm)
fixed <- plm(ROS ~ DiffClosenessC +ZZiele + AggSK + nRedundantStrecken +
Degree + KantenGew + BetweennessC + SitzKappazitaet,
data=Panel,index=c("id","time"),model="within")
summary(fixed)
fixef(fixed)
random <-plm(ROS ~
2010 May 11
5
Regressions with fixed-effect in R
Hi there,
Maybe people who know both R and econometrics will be able to answer
my questions.
I want to run panel regressions in R with fixed-effect. I know two
ways to do it.
First, I can include factor(grouping_variable) in my regression equation.
Second, I plan to subtract group mean from my variables and run OLS
panel regression with function lm().
I plan to do it with the second way because
2013 Nov 06
1
resdiuals of random model estimated by plm function
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 $residuals.
example:
data("Produc", package = "plm")
zz <- plm(log(gsp) ~ log(pcap) + log(pc) + log(emp) + unemp,
model="random", data = Produc, index = c("state","year"))
res<-zz$residuals #
2013 Jan 11
0
Manual two-way demeaning of unbalanced panel data (Wansbeek/Kapteyn transformation)
Dear R users,
I wish to manually demean a panel over time and entities. I tried to code
the Wansbeek and Kapteyn (1989) transformation (from Baltagi's book Ch. 9).
As a benchmark I use both the pmodel.response() and model.matrix() functions
in package plm and the results from using dummy variables. As far as I
understood the transformation (Ch.3), Q%*%y (with y being the dependent
variable)
2007 Nov 23
4
help pleaseeeeeeeee
Dears Sirs
During my computational work I encountered unexpected behavior when calling
"ar" function, namely
# time series
x<-ts(c(-0.2052083,-0.3764986,-0.3762448,0.3740089,0.2737568,2.8235722,-
1.7783313,0.2728676,-0.3273164),start=c(1978,3),frequency=4,end=c(1980,3))
# ar function
res.ar<-ar(x,aic=TRUE,demean=F)
# call "ar" again and ............
2012 Mar 14
1
plm function
Dear Sir/ Madam,
I am writing about the panel data for my bachelor degree.
I would really appreciate if You could help dealing with R functions.
I am trying to estimate the panel data lm model with plm function. When i
include 3dummy variables into the regression it dont appear in the sumarry
of the model, but when i estimate a simple lm model it appears.
Why is it so? What should i do to