2:13 p.m.
Hello,
Is there a command in gretl that makes possible to omit observations with
missing values while using estimation procedures? I know that it can be also
done by using such commands as misszero, if, zeromiss and so on but maybe
there is a simpler way?
Regards,
Mariusz Doszyń
Poland
2:18 p.m.
Mariusz,
Have a look at the "ok" function.
PS
________________________________
From: gretl-users-bounces(a)lists.wfu.edu [gretl-users-bounces(a)lists.wfu.edu] on behalf of
Mariusz Doszyń [madosz(a)wp.pl]
Sent: Monday, July 11, 2011 10:13 AM
To: gretl-users(a)lists.wfu.edu
Subject: [Gretl-users] (no subject)
Hello,
Is there a command in gretl that makes possible to omit observations with missing values
while using estimation procedures? I know that it can be also done by using such commands
as misszero, if, zeromiss and so on but maybe there is a simpler way?
Regards,
Mariusz Doszyń
Poland
2:26 p.m.
On Mon, 11 Jul 2011, Mariusz Doszyń wrote:
Is there a command in gretl that makes possible to omit observations
with
missing values while using estimation procedures? I know that it can be also
done by using such commands as misszero, if, zeromiss and so on but maybe
there is a simpler way?
Missing observations are automatically skipped when that is
feasible -- see section 4.6 of the Gretl User's Guide. If you
want to handle cases where gretl cannot work around missing
values you can use the --no-missing form of the "smpl" command
to create an OK subset of your data; see the command reference
for "smpl".
Allin Cottrell
2:45 p.m.
Thanks Allin. This what I've unfortunately forgotten ;-)
Is there a command in gretl that makes possible to omit observations
with missing values while using estimation procedures? I know that it
can be also done by using such commands as misszero, if, zeromiss and
so on but maybe there is a simpler way?
Missing observations are automatically skipped when that is feasible -- see
section 4.6 of the Gretl User's Guide. If you want to handle cases where
gretl cannot work around missing values you can use the --no-missing form of
the "smpl" command to create an OK subset of your data; see the command
reference for "smpl".
Allin Cottrell
7:19 a.m.
New subject: Difference between pooled and panel data
Hi all,
Could someone remind me the difference between pooled and panel data.
Cheers and thanks
-
12:26 p.m.
New subject: Difference between pooled and panel data
On Tue, 12 Jul 2011, Anutechia Asongu wrote:
Could someone remind me the difference between pooled and
panel data.
Cheers and thanks
Panel data are data that track measures on a given, fixed set
of "individuals" over time. The phrase "pooled data" is more
general: it implies that the data have both a time-series and
a cross-sectional dimension, but it includes the case where
the individuals are not a fixed set -- e.g. some individuals
drop out over time and are replaced by others. At least that's
how I read it.
Allin Cottrell
12:27 p.m.
New subject: Difference between pooled and panel data
Thank you "guru"
--- On Tue, 7/12/11, Allin Cottrell <cottrell(a)wfu.edu> wrote:
From: Allin Cottrell <cottrell(a)wfu.edu>
Subject: Re: [Gretl-users] Difference between pooled and panel data
To: "Gretl list" <gretl-users(a)lists.wfu.edu>
Date: Tuesday, July 12, 2011, 5:26 AM
On Tue, 12 Jul 2011, Anutechia Asongu wrote:
Could someone remind me the difference between pooled and
panel data.
Cheers and thanks
Panel data are data that track measures on a given, fixed set of "individuals"
over time. The phrase "pooled data" is more general: it implies that the data
have both a time-series and a cross-sectional dimension, but it includes the case where
the individuals are not a fixed set -- e.g. some individuals drop out over time and are
replaced by others. At least that's how I read it.
Allin Cottrell
-----Inline Attachment Follows-----
_______________________________________________
Gretl-users mailing list
Gretl-users(a)lists.wfu.edu
http://lists.wfu.edu/mailman/listinfo/gretl-users
8:29 p.m.
New subject: Difference between pooled and panel data
To me the term pooled refers to a type of model. For example in a
fixed effects model is equivalent to having a distinct model for each
level of the factor that determines the panel. Pooled OLS corresponds
to pooling the data set over all levels of the factor and estimating a
single OLS (assuming that the fixed effects are constant over all
levels of the factor. With a multilevel model pooling corresponds to
collapsing some levels of the model to get a pooled model. When some
individuals leave the panel and others join I would call this an
unbalanced panel.
Best Regards
John
On 12 July 2011 13:26, Allin Cottrell <cottrell(a)wfu.edu> wrote:
On Tue, 12 Jul 2011, Anutechia Asongu wrote:
> Could someone remind me the difference between pooled and panel
> data.
> Cheers and thanks
Panel data are data that track measures on a given, fixed set of
"individuals" over time. The phrase "pooled data" is more general:
it
implies that the data have both a time-series and a cross-sectional
dimension, but it includes the case where the individuals are not a fixed
set -- e.g. some individuals drop out over time and are replaced by others.
At least that's how I read it.
Allin Cottrell
_______________________________________________
Gretl-users mailing list
Gretl-users(a)lists.wfu.edu
http://lists.wfu.edu/mailman/listinfo/gretl-users
--
John C Frain
Economics Department
Trinity College Dublin
Dublin 2
Ireland
www.tcd.ie/Economics/staff/frainj/home.html
mailto:frainj@tcd.ie
mailto:frainj@gmail.com
12:44 p.m.
New subject: Difference between pooled and panel data
Thank you John C Frain
--- On Tue, 7/12/11, John C Frain <frainj(a)gmail.com> wrote:
From: John C Frain <frainj(a)gmail.com>
Subject: Re: [Gretl-users] Difference between pooled and panel data
To: "Gretl list" <gretl-users(a)lists.wfu.edu>
Date: Tuesday, July 12, 2011, 1:29 PM
To me the term pooled refers to a type of model. For example in a
fixed effects model is equivalent to having a distinct model for each
level of the factor that determines the panel. Pooled OLS corresponds
to pooling the data set over all levels of the factor and estimating a
single OLS (assuming that the fixed effects are constant over all
levels of the factor. With a multilevel model pooling corresponds to
collapsing some levels of the model to get a pooled model. When some
individuals leave the panel and others join I would call this an
unbalanced panel.
Best Regards
John
On 12 July 2011 13:26, Allin Cottrell <cottrell(a)wfu.edu> wrote:
On Tue, 12 Jul 2011, Anutechia Asongu wrote:
> Could someone remind me the difference between pooled and panel
> data.
> Cheers and thanks
Panel data are data that track measures on a given, fixed set of
"individuals" over time. The phrase "pooled data" is more general:
it
implies that the data have both a time-series and a cross-sectional
dimension, but it includes the case where the individuals are not a fixed
set -- e.g. some individuals drop out over time and are replaced by others.
At least that's how I read it.
Allin Cottrell
_______________________________________________
Gretl-users mailing list
Gretl-users(a)lists.wfu.edu
http://lists.wfu.edu/mailman/listinfo/gretl-users
--
John C Frain
Economics Department
Trinity College Dublin
Dublin 2
Ireland
www.tcd.ie/Economics/staff/frainj/home.html
mailto:frainj@tcd.ie
mailto:frainj@gmail.com
_______________________________________________
Gretl-users mailing list
Gretl-users(a)lists.wfu.edu
http://lists.wfu.edu/mailman/listinfo/gretl-users
4671
days inactive
4673
days old
8 comments
5 participants
participants (5)
-
Allin Cottrell -
Anutechia Asongu -
John C Frain -
Mariusz Doszyń -
Summers, Peter