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From |
Morten Hesse <mh@crf.au.dk> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: xtmixied: Marginal Effect with Interactions |

Date |
Mon, 30 Aug 2010 16:42:19 +0200 |

Lost a line: It works in xtlogit as well. Den 30-08-2010 16:40, Morten Hesse skrev:

problems in using it there? Den 30-08-2010 11:43, Maarten buis skrev:--- On Sun, 29/8/10, Guy Grossman wrote:I am using Stata 10.1 on Mac to estimate the following model: xtmixed change x1 x2 x1Xx2 c1 c2 c3 c4 c5 || group: || id:, mle nolog in which both x1 and x2 are dummies and x1 is a treatment variable in a randomized experiment. I have two questions: 1. how can I calculate the effect of x1 conditional on x2==1, while setting the control variables to their mean (continuous variables) or median (categorical)?-xtmixed- is a linear model so there is no need to fix the other covariates, as the marginal effect will be the same regardless of what value you fix them at. Since x2 is a dummie, x1 has basically two effects: the effect when x2 is 0 and the effect when x2 is 1. The former is just the coefficient of x1 the latter is the coefficient of x1 + the coefficient of x1Xx2. You can use -lincom- for that. See -help lincom- and the example below.2. what do you suggest would be the best way to graphically present the results given that both x1 and x2 are dummies?Below is one sugestion: *---------------- begin example ----------------- webuse productivity, clear // create some dummies and the interaction variable sum private, meanonly gen x1 = private> r(mean) sum emp, meanonly gen x2 = emp> r(mean) gen x1Xx2 = x1*x2 // estimate the model xtmixed gsp x1 x2 x1Xx2 hwy water other unemp || region: || state:, mle // get the effect of x1 when x2 == 1 lincom x1 + x1Xx2 // turn the estimates into variables, so they // can be graphed gen x = 1 in 1 gen y = r(estimate) in 1 gen lb = y - invnormal(0.975)*r(se) in 1 gen ub = y + invnormal(0.975)*r(se) in 1 replace x = 0 in 2 replace y = _b[x1] in 2 replace lb = y - invnormal(0.975)*_se[x1] in 2 replace ub = y + invnormal(0.975)*_se[x1] in 2 // the graph twoway scatter y x || /// rcap lb ub x, /// xlab(0 1) /// xscale(range(-.5 1.5)) /// xtitle(x2) /// ytitle(effect x1) /// legend(order(1 "effect" /// 2 "conf. interval")) *---------------- 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 Institut fuer Soziologie Universitaet Tuebingen Wilhelmstrasse 36 72074 Tuebingen Germany http://www.maartenbuis.nl -------------------------- * * 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/

* * 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: xtmixied: Marginal Effect with Interactions***From:*Maarten buis <maartenbuis@yahoo.co.uk>

**References**:**Re: st: xtmixied: Marginal Effect with Interactions***From:*Maarten buis <maartenbuis@yahoo.co.uk>

**Re: st: xtmixied: Marginal Effect with Interactions***From:*Morten Hesse <mh@crf.au.dk>

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