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From |
Richard Williams <richardwilliams.ndu@gmail.com> |

To |
statalist@hsphsun2.harvard.edu, statalist@hsphsun2.harvard.edu |

Subject |
Re: st: predicted marginal effects for sample |

Date |
Sun, 04 Dec 2011 21:50:18 -0500 |

At 09:18 PM 12/4/2011, john sanders wrote:

Thank you Steve, Unfortunately, I was not able to find a solution in the help file or manual, which is why I am asking here. I simply want to generate a variable which contains the predicted marginal effect of model. For the linear prediction, I would simply type: reg demand c.distance##c.price##c.price predict demand_hat, xb I want to do something similar for the marginal effect of price: reg demand c.distance##c.price##c.price margins , dydx(price) To calculate the predictive margins, I could simply generate a new variable:gendemand_change=distance*_b[c.distance#c.price]+2*price*_b[c.price#c.price]+2*distance*price*_b[c.distance#c.price#c.price]I was simply wondering if margins had this automated.

Not automated, but not hard. webuse auto, clear clonevar xmpg = mpg sum xmpg gen delta = r(sd)/1000 reg price c.trunk##c.weight##c.xmpg margins, dydx(xmpg) predict p1 replace xmpg = xmpg + delta predict p2 gen mfxmpg = (p2-p1)/delta sum mfxmpg Tweak the code a little if missing data is an issue. ------------------------------------------- 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/

**References**:**st: predicted marginal effects for sample***From:*john sanders <desmochada@gmail.com>

**Re: st: predicted marginal effects for sample***From:*Steve Samuels <sjsamuels@gmail.com>

**Re: st: predicted marginal effects for sample***From:*john sanders <desmochada@gmail.com>

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