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

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

Subject |
Re: st: margins dydx for logit model with interaction terms |

Date |
Thu, 09 Aug 2012 15:20:35 -0500 |

At 11:30 AM 8/9/2012, David Quinn wrote:

Hello, I am estimating a logit model as such: Y=X1 + X2 + X3 + X4 + X1*X3 + X2*X3.

logit y i.x1 i.x2 x3 x4 i.x1#c.x3 i.x2#c.x3

X1 and X2 are binary predictors. X3 is an ordinal predictor. X4 is a control variable. X1*X3 and X2*X3 are the interaction of X1 and X2, respectively, with X3. I'd like to assess the discrete change in my dependent variable for X1 at different levels of X3, given that I expect there to be interaction effects of X1 and X3. I also need to set X2 and X2*X3 at zero while doing this in order to calculate the proper discrete change of interest. As for the control variable X4, I'd like to just keep it at its mean value. I used the following margins command to calculate the discrete change in X1: margins, dydx(X1) atmeans at(X3=(1 2 3) X1*X3=(1 2 3) X2=0 X2*X3=0)

if you have used factor variable notation, I think all you need is margins, dydx(x1) atmeans at(x3=1 2 3) x2 = 0) I could be wrong so make sure it looks right.

"Atmeans" places X4 at its mean, while the stuff after "at" specifies the specific values at which to hold the other variables while calculating the change. But in the legend that accompanies the results, it keeps saying that X1 is being held at its mean value when the discrete change calculations are being made. Why does margins set the variable of interest--located after the dydx command--to its mean value when calculating the discrete change, when clearly one would want the dydx calculations to be made at specific values of the variable of interest? I just assumed that placing the variable of interest after dydx would tell Stata to calculate the change in Y as that variable moves from zero to one, holding all other variables at the values specified after "at." Am I doing something incorrectly? Perhaps I should just use King et al.'s CLARIFY package to calculate the predicted probabilities, or perhaps even follow Buis' (2010) advice and calculate the odds. From what I gather, those two are a bit more straightforward then using the margins command. Thanks in advance, --Dave * * 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/

------------------------------------------- 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/

**Follow-Ups**:**Re: st: margins dydx for logit model with interaction terms***From:*David Quinn <dxquinnx@gmail.com>

**References**:**st: margins dydx for logit model with interaction terms***From:*David Quinn <dxquinnx@gmail.com>

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