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Does anyone know how to do an Hausman test? I?ve estimate a modell (some alternatives) with clogit an wanted to test the IIA test (Independence of Irrelevant Alternatives) after estimating a multinomial logit model? Thank you

Hi there, I am really new to statistics in R and statistics itself as well. My situation: I ran a lot of OLS regressions with different independent variables. (using the lm() function). After having done that, I know there is endogeneity due to omitted variables. (or perhaps due to any other reasons). And here comes the Hausman test. I know this test is used to identify endogeneity. But what I

Hi, I have a question to ask. if in a linear regression model, the independent variables are not statistically significant, is it necessary to test these variables in a non-linear model? Since most of non-linear form of a variable can be represented to a linear combination using Taylor's theorem, so I wonder whether the non-linear form is also not statistically significant in such a

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 ~

Hi, I am trying to run a panel regression using 88 observations and 9 variables. In-built Hausman Test did not work, then I found a code for auxiliary regression method for the Hausman test. The panel models are: fe=plm(gd ~ l+g+o+c+g1+h+n+r, model = "within", data = new.frame,index = c("id")) re=plm(gd ~ l+g+o+c+g1+h+n+r, model = "random", data = new.frame,index =

Hi, can anybody tell me how the Hausman test for endogenty works? I have a simulated model with three correlated predictors (X1-X3). I also have an instrument W for X1 Now I want to test for endogeneity of X1 (i.e., when I omit X2 and X3 from the equation). My current approach: library(systemfit) fit2sls <- systemfit(Y~X1,data=data,method="2SLS",inst=~W) fitOLS <-

Hi, everybody. I am working processing EEG data from 1000 pacients. I have a specific syntax to perform the Spectral Analysis and a loop to analyse all subjects. each subject data are in separate folders (P1, P2 P3...) My question is: in some cases, some errors can appear in one subject. I want to know if is possible to jump to the next subject and perform the same syntax , exibiting an error

Dear list, I have a question about the interaction between R code and Latex language trough the Sweave function in the package "utils". What I'm trying to do is to write a report. Contrary to the examples shown in the Sweave Manual in which table already constructed by R are "exported" on Latex files, what I would like to do is to build a table in which I combine text and

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Hi all, I have a C code in Linux, it has 7 pointers and compile e run OK, but when I run in R happens problems with calloc function, it returns NULL. ############################################### > int *temp1,*temp2,*temp3,*temp4; temp1 = (int *)calloc(col,sizeof(int)); if(temp1 == NULL){ printf("\n\n No Memory1!"); exit(1); } temp2 = (int *)calloc(col,sizeof(int));

Dear all, I need to process large amounts of data (two or three variables for 6,000 cases) cluster analysis. In the end I need to fill the source data to the obtained clusters. I need to trace the sequence of data fusion. In this case, I can fill in a cluster (with any level of linkage distance) by data. This procedure is implemented in the package Statistica, but this package can not work with

Hello, I have a problem with Hausman test. I am performing my analysis with these commands: > library(plm) > data<-read.csv2("paolo.csv",header=TRUE) > data< pdata.frame(data,index=c("FIRM","YEAR"),drop.index=TRUE,row.names=TRUE) > RECEIV~LSIZE+LAGE+LAGE2+CFLOW+STLEV+FCOST+PGROWTH+NGROWTH+TURN+GPROF+GPROF2 >

Hi, I have two sets of data that I would like to put into a data frame. But since they have different length, I am not sure how to do this. Here is an example of my data: data set one: date growth 1/1/2007 10 1/2/2007 10.2 1/3/2007 10.4 1/4/2007 10.6 data set two: date growth 1/1/2007 22 1/2/2007 22.5 1/4/2007 22.4 I would like to combine the two data sets and

I am confused by the following description in http://www.maths.lth.se/help/R/.R/library/systemfit/html/hausman.systemfit.html what does the "Not run" mean? if we do not load systemfit, how can we run the following code? ## Not run: library( systemfit ) data( kmenta ) attach( kmenta ) ... I install the package of systemfit, and run the code. I got the warning: > library( systemfit

Note the typo in your 3rd line: data < Don't know if this means anything... Bert On Feb 11, 2018 7:33 AM, "PAOLO PILI" <paolo.pili at student.unife.it> wrote: > Hello, > > I have a problem with Hausman test. I am performing my analysis with these > commands: > > > library(plm) > > data<-read.csv2("paolo.csv",header=TRUE) >

Hi everyone, I have a question about using RWeka package? we know that instruction make_Weka_classifier that can help us to build a model,and evaluate_Weka_classifier instruction can help us to evaluate the performance of the model using on new data. But I have a question about how to using the parameter numFold in evaluate_Weka_classifier.Cross-validation means that using some parts to

you are right about the 3rd line but it doesn't help me for my problem. I remove the 3rd line but there is still the same problem: Error in solve.default (dvcov): the system is numerically unique: reciprocity condition value = 1.63418e-19 Paolo 2018-02-11 16:54 GMT+01:00 Bert Gunter <bgunter.4567 at gmail.com>: > Note the typo in your 3rd line: data < > > Don't

dear all, i wonder whether it is possible to estimate a mixed (random parameters) logit model in R. my dataset only includes conditional explanatory (RHS) variables. i've already searched the R-help archives and found slightly comparable questions but no satisfying answers. an old fashoined conditional logit does not work due to the violation of the iia property. a short description of

Dear all- I am have trouble in using the model="ht" option in function plm from the plm library. I am using Package: plm Version: 1.1-1; R version 2.8.1 (2008-12-22) running on a FC-8 linux machine. Here is what I am trying to do: ##---------------------------------------------------------------------------- R> ###Prob 6 Chapter 3 Use R! Applied Econometrics with R (Kleiber

Hello to everyone, I have 2 problems and would be very pleased if anyone can help me: 1) When I use the package "systemfit" for SUR regressions, I get two different variance-covariance matrices when I firstly do the SUR regression ("The covariance matrix of the residuals used for estimation") and secondly do the OLS regressions. In the manual for "systemfit" on page