A small refinement here: use -summarize, meanonly- in each instance
here.
In this example the saving will be trivial, but it's a good habit to get
into.
There is more at
SJ-7-3 st0135 . . . . . . . . . . . Stata tip 50: Efficient use of
summarize
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . N.
J. Cox
Q3/07 SJ 7(3):438--439 (no
commands)
tip on using the meanonly option of summarize to more
quickly determine the mean and other statistics of a
large dataset
Rodrigo Alfaro A.
I think that you could report within R2 from the LDV+FE model.
It seems to me that you panel is large in T, is it unbalanced?
Bruno (2005) -the author of -xtlsdvc- reports simulations on
the effect of unbalancedness. You need the arithmetic (A), and
harmonic (H) averages. You could check his results on the paper
and use the following code to compute the statistics using
your data.
qui {
* Arellano-Bond dataset
webuse abdata
sum year
gen time = year - r(min) + 1
* Getting the max time for firm
bysort id: egen tmax=max(time)
* Leaving only the result in last period
replace tmax=. if time!=tmax
gen double inv_tmax = 1/tmax
sum tmax
local A = r(mean)
sum inv_tmax
local H = 1/r(mean)
local R = `A'/`H'
}
di in ye "Arithmetic =" `A' ", Harmonic=" `H' ", H/A=" `R'
Bruno, G. (2005) "Approximating the bias of LSDV estimator for
dynamic unbalanced panel data models" Economic Letters, 87: 361-6
-----Original Message-----
Rodrigo,
The coefficients in the LSD+FE are very close to the ones from
-xtlsdvc-, a little different but very close. I have around 11,000
observations, so it takes close to 2 hours to run one model in xtlsdvc,
but I can get a good quick sense of what the results will be with just
and the LSD+FE.
*
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* http://www.stata.com/support/faqs/res/findit.html
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