Since neither I nor anybody else have found an answer to my problem,
here is another rather technical question:
In which cases would I prefer to use the Heckman model without the
twostep option and in which cases would I rather run it with the twostep
option?
Thank you, all.
Adrian
> -----Original Message-----
> From: de la Garza, Adrian
> Sent: Tuesday, May 18, 2004 11:38 AM
> To: [email protected]
> Subject: st: Things to consider when regressions don't converge
>
>
> Jean, thanks a lot. But perhaps I should have explained myself better.
> It is my -R- that I want, that is, the number of bonds issued by a
> particular borrower SO FAR at each different point in time. Your -R-
> would give me the FINAL total of bonds that a particular
> borrowed issue
> throughout the whole sample and that number would be repeated for each
> observation within the same borrower. This is not what I want.
>
> And yes, I tried the twostep option and it does run my regression more
> smoothly but I am not sure why it doesn't work without the twostep
> option.
>
> Thank you.
> Adrian
>
> > -----Original Message-----
> > From: jean ries [mailto:[email protected]]
> > Sent: Tuesday, May 18, 2004 11:26 AM
> > To: [email protected]
> > Subject: Re: Things to consider when regressions don't converge
> >
> >
> > At 16:29 18/05/2004, you wrote:
> > >I am running a Heckman selection model (shown below) and after this
> > >non-converging story I started playing around with my equation and
> > >noticed that my -lR- variable might be the one that's giving
> > me trouble.
> > >-lR- is ln(R), and -R- is generated as follows:
> > >
> > >sort borrower indic signdate mtydate amount
> > >by borrower: g R = _n
> > >
> > >so -R- is the number of bonds issued by a particular
> borrower at each
> > >different point in time.
> >
> > I don't think that R represents what you expect it to
> > represent. The way
> > you define it, R contains the current observation number for
> > each borrower.
> > Try the following to obtain the number of bonds issued by a
> > particular
> > borrower :
> >
> > bysort borrower: g R = _N
> >
> > and:
> >
> > help _variables
> >
> > In any case, have a look at the Stata reference manual. It
> > contains a nice
> > discussion on problems related to Heckman selection models.
> > As suggested
> > there, you should try to fit your model using the two-step method.
> >
> > Hope this helps,
> >
> > jean
> >
> > *
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> > * http://www.stata.com/support/faqs/res/findit.html
> > * http://www.stata.com/support/statalist/faq
> > * http://www.ats.ucla.edu/stat/stata/
> >
>
> *
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>
*
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