Displaying 5 results from an estimated 5 matches for "hedonism".
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hedonic
2010 Feb 25
2
error using pvcm() on unbalanced panel data
Dear all
I am trying to fit Variable Coefficients Models on Unbalanced Panel
Data. I managed to fit such models on balanced panel data (the example
from the "plm" vignette), but I failed to do so on my real, unbalanced
panel data.
I can reproduce the error on a modified example from the vignette:
> require(plm)
> data("Hedonic")
> Hed <- pvcm(mv ~ crim + zn + indus
2009 May 08
1
plm: plm.data vs pdata.frame
Hello,
I am trying to use the plm package for panel econometrics. I am just
trying to get started and load my data. It seems from most of the
sample documentation that I need to use the pdata.frame function to
get my data loaded. However, even after installing the "plm" package,
my R installation cannot find the function. I am trying to follow the
example in plmEN.pdf (
2011 May 04
1
Instrumental variable quantile estimation of spatial autoregressive models
Dear all,
I would like to implement a spatial quantile regression using instrumental variable estimation (according to Su and Yang (2007), Instrumental variable quantile estimation of spatial autoregressive models, SMU economics & statistis working paper series, 2007, 05-2007, p.35 ).
I am applying the hedonic pricing method on land transactions in Luxembourg. My original data set contains
2003 Sep 16
1
Pre-RedHat 9.0 RPM Packages
Since I have a mixture of RH 7.1, 7.2, 7.3 and Advanced Server 2.1
boxes, I've made a set of RPMs for those platforms. I do not have a
RedHat 8.0 box to make RPMs. Since RedHat <= 7.2 is out of support by
RedHat, I don't think we'll see any officially created RPMs (but I
could be wrong about that) so I thought I'd offer these to the general
community. These were all built
2010 Jul 14
5
Matrix Size
hi -
i just started using R as i am trying to figure out how perform a linear
regression on a huge matrix.
i am sure this topic has passed through the email list before but could
not find anything in the archives.
i have a matrix that is 2,000,000 x 170,000 the values right now are
arbitray.
i try to allocate this on a x86_64 machine with 16G of ram and i get the
following:
> x <-