similar to: theta parameter - plm package

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 #

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 ~ Cons_PC_1 + imp_gen_1 + LGDP_PC_1 + lnEI_1 +

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",

Hi I'm using postfix+dovecot (2.2.18). The problem is that dovecot silently discard message when user has its own mailbox full without sending rejection message to the sender. Here a sample log: Dec 1 14:54:23 posta2 postfix/smtp[21478]: B315111C00B: to=<antonen at uniparthenope.it>, relay=192.168.241.110[192.168.241.110]:25, delay=0.4, delays=0.2/0/0/0.2, dsn=2.0.0, status=sent

Il 01/12/2015 16:19, Timo Sirainen ha scritto: > On 01 Dec 2015, at 17:10, Antonello Cioffi <antonello.cioffi at uniparthenope.it> wrote: >> Hi >> >> I'm using postfix+dovecot (2.2.18). >> >> The problem is that dovecot silently discard message when user has its own mailbox full without sending rejection message to the sender. >> >> Here a

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

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,

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

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

Dear plm Package users, I use the plm package a lot but I have not updated it for some times. Now I realized the following difficulty with the summary.plm function (demonstrated with the example from the ?plm documentation). library(plm) data("Produc", package="Ecdat") estimation_method<-"within" estimation_effect<-"individual" zz

Hi everybody I'm finding on my server a lot of a lot of errors like this: Jun 19 14:22:45 posta2 kernel: [885017.412902] BUG: soft lockup - CPU#2 stuck for 22s! [dovecot-lda:11955] Jun 19 14:22:45 posta2 kernel: [885017.412906] Modules linked in: ocfs2(E) jbd2 quota_tree dm_service_time dm_multipath ocfs2_dlmfs(E) ocfs2_stack_o2cb(E) ocfs2_dlm( E) ocfs2_nodemanager(E)

? stato filtrato un testo allegato il cui set di caratteri non era indicato... Nome: non disponibile URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20130624/2836bcf8/attachment.pl>

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

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 ~

Dear R-helpers, 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 individuals. For those using Stata, the counterpart would be xtreg with the "fe" option, or areg with the "absorb" option and in both case the clustering is achieved with "vce(cluster

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

Hi, Everyone, I want to calculate the principal curve of a points set. First I read the points'coordinate with function "scan", then converted it to matrix with the function "matrix", and fit the curve with function "principal.curve". Here is my data in the file "bmn007.data": 0.023603 -0.086540 -0.001533 0.024349 -0.083877 -0.001454 .. ..

Dear all, Currently I am trying to integrate a function which depends on four variables, two of which are given, one is given in the integrate function, so there is one variable to integrate on. The code is as follows: Pmatrix = function(th) { P = matrix(nrow=6, ncol=6, data=0) P[1,1] = P[2,1]=P[3,2]=P[4,3]=P[5,4]=P[6,5]= exp(-th) P[,6] = 1-exp(-th) return(P)} lim.verd =

Hi all we are experiencing several errors like this: WROTE Sep 05 11:30:57.700 [kCFStreamSocketSecurityLevelTLSv1_2] -- host:mail.uniparthenope.it -- port:993 -- socket:0x6000004b1dc0 -- thread:0x60000127b140 35.156 UID COPY 76543 GARR.Eduroam_tech READ Sep 05 11:30:57.702 [kCFStreamSocketSecurityLevelTLSv1_2] -- host:mail.uniparthenope.it -- port:993 -- socket:0x6000004b1dc0 --

Hello, I'm using VAR models in R in order to obtain impulse responses of stock market shock on US economy. I have series of quarterly changes in real gdp, S&P 500 and quarterly level of unemployment for 1985 - 2012 period. My series are stationary. So I did all the steps below. However I don't understand what do irf function results mean. These are the cumulative orthogonal responses