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From | Richard Williams <richardwilliams.ndu@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: predicted marginal effects for sample |
Date | Sun, 04 Dec 2011 20:53:01 -0500 |
At 06:31 PM 12/4/2011, john sanders wrote:
I am running a simple linear regression model with some interaction terms of the following nature: reg demand c.distance##c.price##c.price I want to use the model parameters to predict the marginal effect of a price change for every observation in the data (i.e. instead of the linear prediction, I want the marginal effect for each observation). Is this possible using the margins command? I could certainly code this up, but I was wondering if there was a "predict" analogue to the margins command.
In Microeconomics Using Stata, Revised Edition, Cameron and Trivedi show (in Section 10.6) how to manually compute AMEs. See
http://www.stata.com/bookstore/musr.html The code they use can be found at http://www.stata-press.com/data/musr.htmlLook specifically at the file -mus10p1nonlin.do- . The sections you may be interested in start with the line "* AME computed manually for a single regressor" .
Their examples are for continuous variables. For an example using discrete variables, see slides 27-30 of
http://www.nd.edu/~rwilliam/stats/Margins01.pdf ------------------------------------------- Richard Williams, Notre Dame Dept of Sociology OFFICE: (574)631-6668, (574)631-6463 HOME: (574)289-5227 EMAIL: Richard.A.Williams.5@ND.Edu WWW: http://www.nd.edu/~rwilliam * * 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/