Hello everybody,
I am using EViews 7 and my workfile comprises binary panel data. I know, that Logit/Probit models also work on Panel data, but I have some specific questions and would like to ask for some support:
1.) How can I account for fixed or random effects in the panel data when estimating a Logit/Probit model?
2.) When there are lagged dependent variables present on the right hand side, biased or inconsistent estimates of the Logit/Probit model can be present. Thus, does Eviews account for lagged dependent variables? If not, did anyone ever program a logl-object for maximum likelihood estimation (e.g. based on log-likelihood function described in Heckman 1981 ("Statistical models for discrete panel data" in "Structural Analysis of discrete data"))?
3.) Is there a function to estimate heteroskedastic-corrected probits (e.g. "Hetprob" in STATA)?
Thank you very much and best regards,
Chris
Logit/Probit models and Panel Data
Moderators: EViews Gareth, EViews Moderator
Logit/Probit models and Panel Data
Last edited by Chris_Ger on Thu Aug 12, 2010 7:56 am, edited 1 time in total.
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EViews Gareth
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Re: Logit/Probit models and Panel Data
1) The only way to do it is by creating dummy variables for the fixed effects. Random effects cannot be done.
2) I don't believe so.
2) I don't believe so.
Re: Logit/Probit models and Panel Data
Thank you very much.
Do you know whether there is a function to estimate heteroskedastic-corrected probits (e.g. "Hetprob" in STATA)?
Do you know whether there is a function to estimate heteroskedastic-corrected probits (e.g. "Hetprob" in STATA)?
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EViews Glenn
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Re: Logit/Probit models and Panel Data
No, there is not.
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Phil O'Sophie
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Re: Logit/Probit models and Panel Data
I'm trying to run a Heckman sample selection model using panel-data? Does Eviews have a function for this?
Thank you for your helo.
Thank you for your helo.
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michelleli
- Posts: 20
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Re: Logit/Probit models and Panel Data
Hi,
I have created firm dummies for the fixed effects. However, when I include these dummies (I have 152 firm dummie variables) in the estimation, Eviews show that "Parameter estimates for limit points are non-ascending 0". How can correct for this?
Thanks!
I have created firm dummies for the fixed effects. However, when I include these dummies (I have 152 firm dummie variables) in the estimation, Eviews show that "Parameter estimates for limit points are non-ascending 0". How can correct for this?
Thanks!
1) The only way to do it is by creating dummy variables for the fixed effects. Random effects cannot be done.
2) I don't believe so.
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