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Re: st: RE: linear probability model
From
SR Millis <[email protected]>
To
[email protected]
Subject
Re: st: RE: linear probability model
Date
Wed, 23 Jun 2010 09:52:24 -0700 (PDT)
The fundamental issue is the type of response variable that you have. If it is binary, you would want to use a logit or probit model---not a linear model. If your response variable is continuous, you would use a linear model.
Scott Millis
> -----Original Message-----
> From: [email protected]
> [mailto:[email protected]]
> On Behalf Of dk
> Sent: Mittwoch, 23. Juni 2010 16:02
> To: [email protected]
> Subject: st: linear probability model
>
> What are the advantages of linear probability model over
> probit and
> logit. i have read some where that linear probability model
> fits best
> for very large sample, where maximum likelihood with probit
> and logit
> does not work can any one explain this.
>
>
> Thanks in advance,
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