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From |
emanuele mazzini <madsoenistata@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Dyadic fixed effects and areg, absorb |

Date |
Fri, 15 Apr 2011 17:23:00 +0200 |

That's a good suggestion, Thank you very much for your advice. Regards, Emanuele. 2011/4/15 Nick Cox <njcoxstata@gmail.com>: > Sorry, but I don't know -- or shouldn't say even if I did. I don't > even know if this is trade, migration, conflicts or anything else, and > none of those are my field. That's surely a matter for you to seek > advice from your supervisor/advisor if you have one, or the > literature. > > Supposedly, John von Neumann said "With four parameters I can fit an > elephant, and with five I can make him wiggle his trunk." I know > software makes it much easier to fit complicated models than whenever > he (may have) said that, but more complicated models are not > necessarily better. > > On Fri, Apr 15, 2011 at 4:06 PM, emanuele mazzini > <madsoenistata@gmail.com> wrote: >> Well, I have to say I am a student willing to get a degree (i.e I am >> doing such a research for my final thesis). I asked that because I >> know that some authors use that and insert in their regressions both >> dyadic and year fixed effects. Obviously it is a kind of robustness >> check, so I do not necessarily expect my main variables to be >> statistically significant but if they do, I can say that result are >> definitely robust, aren't they? >> Since you suggested a more parsimonious model, what would it be? What >> kind of fixed effects would you insert in such a regression? >> >> Thank you very much, >> Regards, >> Emanuele. >> >> >> 2011/4/15 Nick Cox <njcoxstata@gmail.com>: >>> It starts sounding like a statistical equivalent of a rather empty >>> model. If I say, interactions between countries over time depend on >>> precisely which countries and precisely when, the reaction to those >>> words is, Well, yes. If you say, and here are thousands of parameters >>> to summarize that, how is that scientifically or practically >>> interesting or useful? >>> >>> I don't know what your overall objective is. Are you a student and you >>> want to pass an examination or to get a degree? Are you a researcher >>> and you want a publishable paper? Either way, as you ask for >>> reactions, mine is that I would expect anyone in your friend to be >>> more interested in a much more parsimonious model. >>> >>> On Fri, Apr 15, 2011 at 3:31 PM, emanuele mazzini >>> <madsoenistata@gmail.com> wrote: >>>> Dear all Stata users, >>>> I am trying to work out a regression with an unbalanced bilateral >>>> panel dataset in which I need to include both dyadic fixed effects and >>>> year fixed effects. Since my dataset is very huge (it includes more >>>> than 600,000 observations) and I cannot generate a dummy for the >>>> variable dyads (which is the unique dyads identifier), I thought that >>>> I can accomplish this by using the following command: >>>> >>>> areg...., absorb(dyads) >>>> >>>> by including only the dummies that refer to the years to take into >>>> account the year fixed effects, while absorb(dyads) is supposed to >>>> take into account the dyadic fixed effects. >>>> >>>> I am not looking really for an help, but more for an advice: what do >>>> you think about this solution to my problem (i.e. to the impossibility >>>> to generate more than 15,000 dummies)? Do you think this may work? >>>> >>>> Thanks to all of you in advance for your time and consideration, > > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ > * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: Dyadic fixed effects and areg, absorb***From:*emanuele mazzini <madsoenistata@gmail.com>

**Re: st: Dyadic fixed effects and areg, absorb***From:*Nick Cox <njcoxstata@gmail.com>

**Re: st: Dyadic fixed effects and areg, absorb***From:*emanuele mazzini <madsoenistata@gmail.com>

**Re: st: Dyadic fixed effects and areg, absorb***From:*Nick Cox <njcoxstata@gmail.com>

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