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Re: st: linear probability model
From
SR Millis <[email protected]>
To
[email protected]
Subject
Re: st: linear probability model
Date
Wed, 23 Jun 2010 09:53:16 -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
--- On Wed, 6/23/10, dk <[email protected]> wrote:
> From: dk <[email protected]>
> Subject: st: linear probability model
> To: [email protected]
> Date: Wednesday, June 23, 2010, 10:01 AM
> 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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