>Thank you again,Mark.
I used xtrivreg2 and omitted (varlist2=varlist_iv) to estimate simple fixed
effect.I clustered on regions.Unfortunately I received the error message:
number of clusters must be greater than number of instruments.(using Stata
8.2.)
Any suggestions whats wrong ?
Regards,
Max
--- Urspr�ngliche Nachricht ---
> Von: "Schaffer, Mark E" <[email protected]>
> An: <[email protected]>
> Betreff: RE: st: RE: Re: RE: Re: Two way Fixed Effects & Autocorrelation&
> Heteroskedasticity
> Datum: Fri, 31 Mar 2006 14:39:14 +0100
>
> Max,
>
> > -----Original Message-----
> > From: [email protected]
> > [mailto:[email protected]] On Behalf Of
> > [email protected]
> > Sent: 31 March 2006 14:24
> > To: [email protected]
> > Subject: RE: st: RE: Re: RE: Re: Two way Fixed Effects &
> > Autocorrelation& Heteroskedasticity
> >
> > thanks for your reply Mark.
> >
> > The problem is that i don`t have an appropriate instrument
> > v.Can i use xtivreg without specifying an instrument
> > variable?
>
> Yes, this is possible with -xtivreg2- (which I wrote). It's also possible
> with Stata's official -xtivreg-, but the syntax is different, as you note,
> i.e. the -regress- option.
>
> If you have Stata 9, you can simply use Stata's official -xtivreg- with
> cluster, or -areg- with cluster, to get SEs robust to het. and a.c. The
only
> reason to use -xtivreg2- is if you want, say, Newey-West-type robust
> standard errors and the like.
>
> Cheers,
> Mark
>
> >(i think xtivreg allows for this with by the option
> > regress.)
> >
> > Is areg an alternative which i can choose?like i understood
> > areg, the standard errors will be robut to heteros. and
> > autocorrelation when i choose the cluster option.
> >
> > Max
> >
> >
> >
> >
> > --- Urspr�ngliche Nachricht ---
> > > Von: "Schaffer, Mark E" <[email protected]>
> > > An: <[email protected]>
> > > Betreff: RE: st: RE: Re: RE: Re: Two way Fixed Effects &
> > > Autocorrelation& Heteroskedasticity
> > > Datum: Fri, 31 Mar 2006 09:38:10 +0100
> > >
> > > Max,
> > >
> > > > -----Original Message-----
> > > > From: [email protected]
> > > > [mailto:[email protected]] On Behalf Of
> > > > [email protected]
> > > > Sent: 31 March 2006 09:29
> > > > To: [email protected]
> > > > Subject: Re: st: RE: Re: RE: Re: Two way Fixed Effects &
> > > > Autocorrelation& Heteroskedasticity
> > > >
> > > > Rodrigo,Mark,
> > > > thank you very much for your advice.I will try xtivreg2.
> > > > I have antother short question:
> > > > Am i right, that for a one-way fixed effect model with the same
> > > > problems areg be the appropriate solution?
> > > > Best,
> > > > Max
> > >
> > > Unless I am missing something obvious, the same remarks apply to
> > > one-way fixed effect models (and probably more directly, since
> > > xtivreg2 et al. are set up to handle one-way, not two-way, models).
> > >
> > > --Mark
> > >
> > > >
> > > > --- Urspr�ngliche Nachricht ---
> > > > > Von: "Schaffer, Mark E" <[email protected]>
> > > > > An: <[email protected]>
> > > > > Betreff: st: RE: Re: RE: Re: Two way Fixed Effects &
> > > > Autocorrelation&
> > > > > Heteroskedasticity
> > > > > Datum: Thu, 30 Mar 2006 23:09:50 +0100
> > > > >
> > > > > Rodrigo,
> > > > >
> > > > > > -----Original Message-----
> > > > > > From: [email protected]
> > > > > > [mailto:[email protected]] On Behalf
> > > > Of Rodrigo
> > > > > > Alfaro
> > > > > > Sent: 30 March 2006 23:03
> > > > > > To: [email protected]
> > > > > > Subject: st: Re: RE: Re: Two way Fixed Effects &
> > > > > > Autocorrelation& Heteroskedasticity
> > > > > >
> > > > > > Mark's suggestion is a addendum to my second option. The 4th
> > > > > > proposes to use Least Square without lag dependent
> > > > variable but with
> > > > > > manual fixed-effects and with correction of the
> > standard errors:
> > > > > > -newey y x1 x2 ind*, lag(1)- Rodrigo.
> > > > >
> > > > > That is what I meant. -xtivreg2- will estimate least
> > > > squares models
> > > > > as well as IV models:
> > > > >
> > > > > xtivreg2 y x1 x2, i(ind) bw(2)
> > > > >
> > > > > or, using cluster-robust SEs,
> > > > >
> > > > > xtivreg2 y x1 x2, i(ind) cluster(ind)
> > > > >
> > > > > Cheers,
> > > > > Mark
> > > > >
> > > > > >
> > > > > >
> > > > > > ----- Original Message -----
> > > > > > From: "Schaffer, Mark E" <[email protected]>
> > > > > > To: <[email protected]>
> > > > > > Sent: Thursday, March 30, 2006 3:44 PM
> > > > > > Subject: st: RE: Re: Two way Fixed Effects & Autocorrelation&
> > > > > > Heteroskedasticity
> > > > > >
> > > > > >
> > > > > > > Max, Rodrigo,
> > > > > > >
> > > > > > > Just a brief addendum to Rodrigo's 4th option:
> > > > > > >
> > > > > > >> -----Original Message-----
> > > > > > >> From: [email protected]
> > > > > > >> [mailto:[email protected]] On Behalf Of
> > > > > > >> Rodrigo Alfaro
> > > > > > >> Sent: 30 March 2006 21:28
> > > > > > >> To: [email protected]
> > > > > > >> Subject: st: Re: Two way Fixed Effects & Autocorrelation&
> > > > > > >> Heteroskedasticity
> > > > > > >>
> > > > > > >> Dear Max
> > > > > > >>
> > > > > > > <snip>
> > > > > > >>
> > > > > > >> (4) A way to solve the problem without a lag dependent
> > > > variable
> > > > > > >> is using a standard error correction that takes
> > care of the
> > > > > > >> behavior of the error term but does not change the
> > > > Least Square
> > > > > > >> estimation of the parameters. You can use
> > > > > > >> -newey- with manually fixed effect, but you have
> > adjust the
> > > > > > >> degree of freedom (I wrote a command for that I can
> > > > send you if
> > > > > > >> you are interesting).
> > > > > > >
> > > > > > > -xtivreg2- will do this. The fixed effects are handled
> > > > > > automatically,
> > > > > > > as is the dof adjustment. However, you need
> > > > respectable number of
> > > > > > > periods for this to work, since the asymptotics require
> > > > t to go to
> > > > > > > infinity. The alternative is cluster-robust standard
> > > > > > errors, which are
> > > > > > > robust to arbitrary autocorrelation and which will work
> > > > > > with any number
> > > > > > > of periods (since the asymptotics require only the
> > > > number of cross
> > > > > > > sections to go to infinity). -xivreg2- will do this
> > > > too. -findit
> > > > > > > xtivreg2- will find it for you.
> > > > > > >
> > > > > > > Cheers,
> > > > > > > Mark
> > > > > > >
> > > > > > >>
> > > > > > >> Rodrigo.
> > > > > > >>
> > > > > > >>
> > > > > > >> ----- Original Message -----
> > > > > > >> From: <[email protected]>
> > > > > > >> To: <[email protected]>
> > > > > > >> Sent: Thursday, March 30, 2006 11:11 AM
> > > > > > >> Subject: st: Two way Fixed Effects & Autocorrelation&
> > > > > > >> Heteroskedasticity
> > > > > > >>
> > > > > > >>
> > > > > > >> > My problem was already discussed before,but i
> > didn`t found
> > > > > > >> an appropriate
> > > > > > >> > solution to it.-
> > > > > > >> > I have a big panel data set (1500 observations over 20
> > > > > > >> years).I want to
> > > > > > >> > estimate a model with time and group specific
> > fixed effects
> > > > > > >> (Hausman Test
> > > > > > >> > performed). The Model suffers from autocorrelation and
> > > > > > >> > heteroskedasticity.The problem is that the cluster option
> > > > > > >> is not possible
> > > > > > >> > for xtregar. Can i use xtgls or areg?As i
> > understood xtgls
> > > > > > >> estimates a
> > > > > > >> > random effet model.
> > > > > > >> > Any suggestions?
> > > > > > >> > Max
> > > > > > *
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