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From |
"Maarten Buis" <[email protected]> |

To |
<[email protected]> |

Subject |
st: RE: Log-Likelihood of Each Observation |

Date |
Sat, 9 Oct 2004 23:04:19 +0200 |

```
Dear mark:
You would not generate a variable (althought you could if you really wanted to). After any estimation command a number of statistics are temporarily stored. You can see which by looking in the manual or type -ereturn list-. In the example below you can see that the log likelihood is stored in e(ll). You can use that in your calculations. See -help return- and the manual entry for return for more information.
Example:
. sysuse auto
(1978 Automobile Data)
. quietly logit foreign weight mpg
. ereturn list
scalars:
e(N) = 74
e(ll_0) = -45.0332095569914
e(ll) = -27.17515619914122
e(df_m) = 2
e(chi2) = 35.71610671570034
e(r2_p) = .3965529779806182
macros:
e(depvar) : "foreign"
e(cmd) : "logit"
e(crittype) : "log likelihood"
e(predict) : "logit_p"
e(chi2type) : "LR"
matrices:
e(b) : 1 x 3
e(V) : 3 x 3
functions:
e(sample)
. di e(ll)
-27.175156
Maarten
-----Original Message-----
From: Marc F. Bellemare [mailto:[email protected]]
Sent: Sat 10/9/2004 10:44 PM
To: [email protected]
Cc:
Subject: st: Log-Likelihood of Each Observation
Dear colleagues:
I was wondering if anyone knew how to generate a variable equal to the
log-likelihood of a model just evaluated (either when using the ml subset
of command or not). I would need such a variable to compute the test
statistic for a Vuong (1989) test.
Cheers,
Marc
__________
Marc F. Bellemare
Ph.D. Candidate
Department of Applied Economics and Management
Cornell University
Ithaca, NY 14853-7801
http://www.people.cornell.edu/pages/mfb24
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```

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**Follow-Ups**:**Re: st: RE: Log-Likelihood of Each Observation***From:*"Marc F. Bellemare" <[email protected]>

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