Notice: On March 31, it was **announced** that Statalist is moving from an email list to a **forum**. The old list will shut down on April 23, and its replacement, **statalist.org** is already up and running.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
Chiara Mussida <cmussida@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: using estimates coefficients |

Date |
Thu, 22 Mar 2012 09:41:19 +0100 |

Thanks, The proper way of dealing with sum and products of coefficients across different model saved by "estimate save" it is to compute the sum and/or product in each model separately, as for example: ge x= _b[age]* meanage, where mean age is the mean value of age in my dataset. this will be done for each of the 7 model. At the end I will sum the variables obtained across each model stored. I hope I will be able to save the variables of interest into the same file. Chiara On 21/03/2012, Muhammad Anees <anees@aneconomist.com> wrote: > Althoug I am not sure, I have tried this and it has worked; > > regress dv1=in1 in2 in3 in4 > display _b[in1] > gen agea=-.00036117 > regress dv1=in1 in2 in3 in4 > display _b[in1] > gen ageb=-.00036117 > gen sumab=agea+ageb > display sumab > > and so on to include other coefficients from other models. > > I Hope this may be of help > > Anees > > On Wed, Mar 21, 2012 at 9:24 PM, Chiara Mussida <cmussida@gmail.com> wrote: >> Dear All, >> I run (7) different equations, simple reg command. I now have to play >> with the coefficient estimates of each equation, _b[name] >> >> Each of the 7 estimates have been carried out and stored with diffrent >> names (model1,..., model7). I now must sum the coefficients of each >> regressors of the different models, like the sum of _b[age] for all >> the 7 models. >> >> How should I compute (manually) this sum across all the models? >> _b[age] model1 + _b[age] model2 + ... + _b[age] model7 >> >> I will have also to include the mean values of each characteristics, >> but for this it is enough to gen an ad hoc variable for each case. >> >> Thanks >> CHiara >> >> >> -- >> Chiara Mussida >> PhD candidate >> Doctoral school of Economic Policy >> Catholic University, Piacenza (Italy) >> * >> * 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/ > > > > -- > > Best > --------------------------- > Muhammad Anees > Assistant Professor/Programme Coordinator > COMSATS Institute of Information Technology > Attock 43600, Pakistan > http://www.aneconomist.com > > * > * 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/ > -- Chiara Mussida PhD candidate Doctoral school of Economic Policy Catholic University, Piacenza (Italy) * * 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/

**Follow-Ups**:**Re: st: using estimates coefficients***From:*Nick Cox <njcoxstata@gmail.com>

**References**:**st: using estimates coefficients***From:*Chiara Mussida <cmussida@gmail.com>

**Re: st: using estimates coefficients***From:*Muhammad Anees <anees@aneconomist.com>

- Prev by Date:
**Re: st: Clustering with Sequence analysis/optimal matching** - Next by Date:
**Re: st: Clustering with Sequence analysis/optimal matching** - Previous by thread:
**Re: st: using estimates coefficients** - Next by thread:
**Re: st: using estimates coefficients** - Index(es):