Displaying 20 results from an estimated 2000 matches similar to: "How to create data frame from data with unequal length"
2012 Oct 28
6
Hausman test in R
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
2011 Jan 16
1
Hausman Test
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 <-
2011 Jan 17
2
How to still processing despite bug errors?
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
2002 Oct 15
2
glm and Newey-West estimator
Dear R-users,
has anybody combined the glm function with the Newey-West estimator of
variance, similar as in Stata 7.0? I'd like to estimate corrected
standard errors within a logistic regression model, taking into account
the auto-correlated binary observations within individuals.
I use R1.5.1 on Mac OS X (10.2).
Thanks,
Christof
2006 Apr 25
5
Heteroskedasticity in Tobit models
Hello,
I've had no luck finding an R package that has the ability to estimate a
Tobit model allowing for heteroskedasticity (multiplicative, for example).
Am I missing something in survReg? Is there another package that I'm
unaware of? Is there an add-on package that will test for
heteroskedasticity?
Thanks for your help.
Cheers,
Alan Spearot
--
Alan Spearot
Department of Economics
2011 Jul 25
1
biglm() and NeweyWest()
Dear all,
I am working on a large dataset and need to use biglm() to perform OLS
regressions. I have detected significant ARCH effects which I try to account
for using the Newey-West correction.
So far, I have worked with NeweyWest() in the sandwich package. NeweyWest()
however seems to be unable to handle an object of class "biglm".
Looking into the code, I figured out that
2005 Apr 20
2
heckit / tobit estimation
Dear All,
we (Ott Toomet and I) would like to add functions for maximum likelihood (ML)
estimations of generalized tobit models of type 2 and type 5 (*see below) in
my R package for microeconomic analysis "micEcon". So far we have called
these functions "tobit2( )" and "tobit5( )".
Are these classifications well known? How are these functions called in other
2009 Dec 10
2
Problem with coeftest using Newey West estimator
Hi,
I want to calculate the t- and p-values for a linear model using the Newey West estimator.
I tried this Code and it usually worked just fine:
> oberlm <- lm(DYH ~ BIP + Infl + EOil, data=HU_H)
> coeftest(oberlm, NeweyWest(oberlm, lag=2))
t test of coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.1509950 0.0743832 2.0300 0.179486
BIP
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 ~
2013 Apr 01
1
plm: Hausman Test error
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 =
2008 Dec 23
6
Interval censored Data in survreg() with zero values!
Hello,
I have interval censored data, censored between (0, 100). I used the
tobit function in the AER package which in turn backs on survreg.
Actually I'm struggling with the distribution. Data is asymmetrically
distributed, so first choice would be a Weibull distribution.
Unfortunately the Weibull doesn't allow for zero values in time data,
as it requires x > 0. So I tried the
2004 Aug 19
1
GEEs for time series data
I want to run a GEE for a time series of counts. The data are daily
respiratory mortality counts and so there aren't any 'clusters' in the
longitudinal sense. Neither the gee or geese packages work. The gee one
wont run at all and the geese one produces NaNs or just runs
indefinitely depending on how long the time series is. Any ideas how to
make these work of any other packages that
2010 Jun 27
1
NeweyWest
I want to calculate Newey West robust standard error using NeweyWest. Comparing the results to what I get in STATA, in order to get the same results in I need to specify "prewhite=0". Can someone explain what this prewhite command means?
Thanks
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2013 Oct 16
7
Is there something wrong with R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"?
Hi,
pnorm(-1.53,0,1) under version 3.0.2 gives 0.05155075. I am pretty sure it
should be 0.063. Is there something wrong with this version of R?
I am using:
R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)
--
Tom
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2007 May 04
2
Library & Package for Tobit regression
Hello R-Users:
I am want to use tobit regression for left censored panel/longitudinal data. Could you please provide me the name of "library" and/or "package" that will give me option of fitting tobit regression model for longitudinal data?
Thank you.
Sattar
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2018 Apr 06
1
Fast tau-estimator line does not appear on the plot
R-experts,
I have fitted many different lines. The fast-tau estimator (yellow line) seems strange to me?because this yellow line is not at all in agreement with the other lines (reverse slope, I mean the yellow line has a positive slope and the other ones have negative slope).
Is there something wrong in my R code ? Is it because the Y variable is 1 vector and should be a matrix ?
Here is the
2011 Mar 10
2
tobit regression model
Hi,
I'm trying to fit a tobit regression model to some data. When fitting the
exact same data in Stata, I have no problems at all, however R won't
converge. Its not a maxiters thing, since I've tried increasing this
already. I need to be able to fit the model in R since there are users of
the code that don't have a Stata license.
The code is:
require(AER)
left = 3.218476
x =
2013 Mar 26
1
Newey West HAC for pooled cross-section data
Hello:
My dataset set contains several thousand rows of data, with each row
containing information for a house. The variables include the sale price of
the house, the quarter and year of sale, the attributes of the house, and
the attributes of the neighborhood and the city in which the house is
located. The data is for a 10-year period. No house is repeated in the
dataset. In summary, the dataset
2012 Apr 02
1
Bootstrapped Tobit regression - get standard error 0...
I am trying to work out a bootstrapped Tobit regression model. I get the
coefficients all right, but they all have standard error zero. And I am
unable to figure out why. I know the coefficients are correct because that's
what I get when do a Tobit (without bootstrapping). Here's my code:
# Bootstrap 95% CI for Tobit regression coefficients?
library(boot)
library(AER) # for the Affairs
2008 May 09
1
Which gls models to use?
Hi,
I need to correct for ar(1) behavior of my residuals of my model. I noticed
that there are multiple gls models in R. I am wondering if anyone
has experience in choosing between gls models. For example, how
should one decide whether to use lm.gls in MASS, or gls in nlme for
correcting ar(1)? Does anyone have a preference? Any advice is appreciated!
Thanks,
--
Tom
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