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Re: st: Problem with standard errors using eststo
From
Austin Nichols <[email protected]>
To
[email protected]
Subject
Re: st: Problem with standard errors using eststo
Date
Wed, 6 Feb 2013 10:04:47 -0500
Sutirtha Bagchi <[email protected]>:
I do not see that you have addressed the advice in
http://www.stata.com/statalist/archive/2012-01/msg00087.html
Can you reproduce your result on a publicly available dataset such as
webuse grunfeld, clear
xtreg mvalue kstock, fe cluster(company)
eststo e1
eststo:xtreg mvalue kstock, fe cluster(company)
esttab *
and can you prefix each command with version 11: and still get the same output?
On Wed, Feb 6, 2013 at 9:33 AM, Sutirtha Bagchi
<[email protected]> wrote:
> I am having a problem with standard errors using eststo.
>
> My problem is that if I estimate a regression without using eststo and
> then estimate exactly the same regression with eststo, my standard
> errors change. This is a problem which had been raised about a year
> ago in this post:
> http://www.stata.com/statalist/archive/2012-01/msg00085.html and
> although the final verdict on this from Nick Cox was that "-eststo- is
> not
> in any sense changing standard errors and that your main problem lies
> elsewhere", I am not so sure that the advice holds in my case. In any
> event, I am attaching the two lines of code that I run and the output
> that I get from those. Please note how the standard errors (and the
> associated t-stats) change when I use eststo in the second line of
> code.
>
> Line of code #1: xi: xtreg fundratio compttve7, fe cluster(county)
>
> Line of code #2: eststo: xi: xtreg fundratio compttve7, fe cluster(county)
>
> Output from line of code #1:
> Fixed-effects (within) regression Number of obs = 3385
> Group variable: municipali~m Number of groups = 1262
>
> R-sq: within = 0.0266 Obs per group: min = 1
> between = 0.0000
> avg = 2.7
> overall = 0.0042
> max = 3
>
> F(1,64)
> = 12.52
> corr(u_i, Xb) = -0.1392 Prob > F = 0.0008
>
> (Std. Err. adjusted for 65 clusters in county)
> ------------------------------------------------------------------------------
> | Robust
> fundratio | Coef. Std. Err. t P>|t| [95% Conf. Interval]
> -------------+----------------------------------------------------------------
> compttve7 | -336.4875 95.10119 -3.54 0.001 -526.4739 -146.501
> _cons | 115.1093 10.24336 11.24 0.000 94.64585 135.5728
> -------------+----------------------------------------------------------------
> sigma_u | 116.71559
> sigma_e | 91.487051
> rho | .61941958 (fraction of variance due to u_i)
> ------------------------------------------------------------------------------
>
> Output from line of code #2:
>
> Fixed-effects (within) regression Number of obs = 3385
> Group variable: municipali~m Number of groups = 1262
>
> R-sq: within = 0.0266 Obs per group: min = 1
> between = 0.0000
> avg = 2.7
> overall = 0.0042
> max = 3
>
> F(1,64)
> = 7.85
> corr(u_i, Xb) = -0.1392 Prob > F = 0.0067
>
> (Std. Err. adjusted for 65 clusters in county)
> ------------------------------------------------------------------------------
> | Robust
> fundratio | Coef. Std. Err. t P>|t| [95% Conf. Interval]
> -------------+----------------------------------------------------------------
> compttve7 | -336.4875 120.0782 -2.80 0.007 -576.3713 -96.60364
> _cons | 115.1093 12.93364 8.90 0.000 89.2714 140.9472
> -------------+----------------------------------------------------------------
> sigma_u | 116.71559
> sigma_e | 91.487051
> rho | .61941958 (fraction of variance due to u_i)
> ------------------------------------------------------------------------------
> (est146 stored)
>
> I should also mention that this problem comes up only when I am using
> the cluster option. That is, when I run:
> xi: xtreg fundratio compttve7, fe and eststo: xi: xtreg fundratio
> compttve7, fe, I get exactly the same results (i.e. same standard
> errors and same t-stats). Also, I have updated all my packages using
> adoupdate and given the status message: "(no packages require
> updating)"
>
> I look forward to hearing the listserv's solutions to the problem.
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