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st: RE: RE: Using xtprobit pa, xtprobit re or xtlogit fe ?
From |
"Verpoorten, Marijke" <[email protected]> |
To |
<[email protected]> |
Subject |
st: RE: RE: Using xtprobit pa, xtprobit re or xtlogit fe ? |
Date |
Mon, 11 Dec 2006 11:28:14 +0100 |
Xtlogit, fe drops all observations for which the dependent variable is
always 0 or always 1. This is because of the conditional maximum
likelihood estimation procedure that uses the average outcome as a
sufficient statistic, (cf. Verbeek, 2000 or any other handbook that
treats binary panel data)
Marijke
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Scott
Merryman
Sent: zaterdag 9 december 2006 18:11
To: [email protected]
Subject: st: RE: Using xtprobit pa, xtprobit re or xtlogit fe ?
Was there not a message at the top of the output following -xtlogit,fe-
stating why they were dropped? Something like:
note: 108 groups (453 obs) dropped due to all positive or
all negative outcomes.
Scott
> -----Original Message-----
> From: [email protected] [mailto:owner-
> [email protected]] On Behalf Of Claude Francoeur
> Sent: Saturday, December 09, 2006 9:30 AM
> To: [email protected]
> Subject: st: Using xtprobit pa, xtprobit re or xtlogit fe ?
>
> Hello,
>
> My data is organized in a panel (100 firms over 5 years) with a binary
> dependent variable.
>
> I get interesting results, using xtprobit, pa or re (N = 581 and no of
> groups = 135). Here are the commands:
>
> xtprobit pw boardcomp compensation shrights disclosure tech mv endet
cot
> volat march conc, pa i(i)
>
> xtprobit pw boardcomp compensation shrights disclosure tech mv endet
cot
> volat march conc, re i(i)
>
>
> Using xtlogit and controlling for fixed effects, all coefficients
become
> non
> significant (N = 128 and no of groups = 27)
>
> xtlogit pw boardcomp compensation shrights disclosure tech mv endet
cot
> volat march conc, fe i(i)
>
> Why does xtlogit eliminate so many observations and all significance?
Is
> xtlogit appropriate ?
>
> Thanks,
>
> Claude
>
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