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From | Maarten Buis <maartenlbuis@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: Predicting y(i)--margins or predict? |
Date | Mon, 12 Aug 2013 14:37:30 +0200 |
On Mon, Aug 12, 2013 at 2:01 PM, John Antonakis wrote: > After estimating a regression model with i observations, I would like to > make a prediction of what y will be at a particular value of x for each i > observation. That is, I want to use the fitted values from a regression to > predict what y will be for each observation at a particular value for x > (while holding constant at their means the the rest of the covariates). > > I can't see whether I have to use margins or predict for this, or how I > should go about doing it (without having to do it manually). Both are possible: *------------------ begin example ------------------ // data preparation sysuse nlsw88, clear gen byte occat = cond(occupation < 3 , 1, /// cond(inlist(occupation, 5, 6, 8, 13), 2, 3)) /// if occupation < . label variable occat "occupation in categories" label define occat 1 "high" /// 2 "middle" /// 3 "low" label value occat occat gen byte edcat = cond(grade < 12, 1, /// cond(grade == 12, 2, 3)) /// if grade < . label define edcat 1 "less than high school" /// 2 "high school" /// 3 "more than high school" label value edcat edcat label variable edcat "education in categories" // the model logit union i.occat i.edcat i.race, or // predicted probability of union membership if // high educated // modal occuaption (low) // modal race (white) margins, at(edcat=3 occat=3 race=1) // table of predicted probabilities for // different levels of education // modal occuaption (low) // modal race (white) margins, at(edcat=(1/3) occat=3 race=1) // you could use -predict- for that preserve drop _all set obs 1 gen byte occat = 3 gen byte race = 1 expand 3 gen byte edcat = _n label value edcat edcat predict pr list edcat pr restore *------------------- end example ------------------- * (For more on examples I sent to the Statalist see: * http://www.maartenbuis.nl/example_faq ) Hope this helps, Maarten --------------------------------- Maarten L. Buis WZB Reichpietschufer 50 10785 Berlin Germany http://www.maartenbuis.nl --------------------------------- * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/