Notice: On March 31, it was **announced** that Statalist is moving from an email list to a **forum**. The old list will shut down on April 23, and its replacement, **statalist.org** is already up and running.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
Ridhima Gupta <g.ridhima@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: marginal effect of the interaction term in the probit model using margins command |

Date |
Thu, 30 Jun 2011 09:54:50 +0100 |

Maarten thanks a lot for your help. I calculated the marginal effect on the interaction term using the inteff command. My understanding is that the output reports the mean interaction effect i.e. it reports the interaction effect when all variables are held at the mean. When I report the marginal effects in the paper, I report them at certain values of the variables that donot coincide with the mean. So for consistency can I get the interaction effect in the output at the same values at which I report the marginal effects? Does the inteff command have an at option like at in the margins command? If not then would you recommend that I report the marginal effects at the mean vlues along with the interaction effect? Thanks a lot, Ridhima On 6/29/11, Maarten Buis <maartenlbuis@gmail.com> wrote: > On Wed, Jun 29, 2011 at 6:00 PM, Ridhima Gupta wrote: >> I wish to compute the marginal effect of the interaction term in the >> case where I interact a binary variable with a continuous regressor in >> the Probit framework. >> >> So I use the command >> >> margins i.Coarse#c.Number_of_Livestock >> >> I just wanted to confirm whether running this command gives me the >> marginal effect of the interaction term. > > No, that command will not give you the marginal effect for the interaction > term. > > For ways of getting the marginal effect after a -probit- model see: > > Norton, E., H. Wang, and C. Ai. (2004) "Computing interaction eﬀects > and standard errors in logit and probit models." The Stata Journal > 4(2): 154-167 > > A more concise representation of the interaction effect is possible > after the -logit-, see: > > M.L. Buis (2010) "Stata tip 87: Interpretation of interactions in > non-linear models", The Stata Journal, 10(2), pp. 305-308. > > 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/

**Follow-Ups**:**Re: st: marginal effect of the interaction term in the probit model using margins command***From:*Maarten Buis <maartenlbuis@gmail.com>

**References**:**st: marginal effect of the interaction term in the probit model using margins command***From:*Ridhima Gupta <g.ridhima@gmail.com>

**Re: st: marginal effect of the interaction term in the probit model using margins command***From:*Maarten Buis <maartenlbuis@gmail.com>

- Prev by Date:
**Re: st: Efficient way to create adjacency matrix in Mata** - Next by Date:
**Re: st: marginal effect of the interaction term in the probit model using margins command** - Previous by thread:
**Re: st: marginal effect of the interaction term in the probit model using margins command** - Next by thread:
**Re: st: marginal effect of the interaction term in the probit model using margins command** - Index(es):