Thanks--I will look into those options. However, as far as I
know, imputation does not recover parameter estimates (and
SEs) as well as does ML (or FIML) estimation.
Best,
J.
----- Original Message -----
Exp�diteur: Richard Williams <[email protected]>
�: [email protected],
[email protected]
Sujet: Re: st: ML regression
Date: Fri, 01 Jun 2007 12:55:01 -0500
> At 11:24 AM 6/1/2007, [email protected] wrote:
> >Is it possible to estimate a regression model using ML
> >(instead of OLS)? Other programs (e.g., MPLUS, AMOS)
> allow >one to estimate regression models using ML (or they
> refer to >it as FIML), which is useful when one has
> missing data on >observations and one does not want to
> have one's sample size >reduced (by listwise). If this is
> possible, what is the >synatx one would use?
> >
> >Thanks,
> >John.
>
> I don't know about FIML, but you may want to take a look
> at the -ice- and -mim- commands available from SSC, which
> let you do multiple imputation of missing data.
>
>
> -------------------------------------------
> Richard Williams, Notre Dame Dept of Sociology
> OFFICE: (574)631-6668, (574)631-6463
> HOME: (574)289-5227
> EMAIL: [email protected]
> WWW: http://www.nd.edu/~rwilliam
>
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___________________________________
Prof. John Antonakis
Faculty of Business and Economics
University of Lausanne
Internef #527
CH-1015 Lausanne-Dorigny
Switzerland
Tel: ++41 (0)21 692-3438
Fax: ++41 (0)21 692-3305
http://www.hec.unil.ch/jantonakis
___________________________________
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