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From |
Adri Bestazza <adribestazza@googlemail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: RE: marginal effects after Heckman |

Date |
Tue, 30 Mar 2010 16:37:06 +0100 |

I was wondering whether there was any built-in command in STATA 10 for the McDonald and Moffitt decomposition method for the marginal effects of the Heckman model, for both continuous and binary exogenous variables. I tried to follow the explanation provided for the Tobit model in: http://www.stata.com/products/stb/journals/stb56.pdf on page 31 & 32, but there is something which is not clear to me: the mfx command in Stata returns marginal effects and standard errors. How to get standard errors when the decomposition is done manually? Finally, I understand that in the example the decomposition is done at the mean value of the continuous explanatory variables (the variables with respect to which the unconditional marginal effects, dE(y)/dx, are computed): is there a way to derive the mean of the unconditional marginal effects associated with the values of each explanatory variable instead? Thank you in advance for any help! Adri On Wed, Mar 24, 2010 at 10:14 PM, Maarten buis <maartenbuis@yahoo.co.uk> wrote: > --- On Wed, 24/3/10, Adri Bestazza wrote: >> In order to get unconditional marginal effects, I used >> the mfx command. Yet, I noticed that the marginal >> effects I found are identical to the coefficients for the >> outcome equation, when the Heckman model is estimated by >> maximum likelihood. > > Marginal effects are the derivative of your dependent > variable with respect to your explanatory variables. With > commands like -heckman- you think of the dependent variable > in multiple ways, so you need to specify what kind of > dependent variable you have in mind. If you do not do so > Stata will take the default prediction, which in case of > -heckman- is the linear predictor, and the derivative of > the linear predictor with respect to the explanatory > variables are of course just the coefficients. To see the > possible parameterizations of the dependent variable see: > help heckman postestimation##predict > > Also see -help mfx-, in particular the -predict()- option. > > 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: RE: marginal effects after Heckman***From:*Maarten buis <maartenbuis@yahoo.co.uk>

**References**:**Re: st: RE: marginal effects after Heckman***From:*Adri Bestazza <adribestazza@googlemail.com>

**Re: st: RE: marginal effects after Heckman***From:*Maarten buis <maartenbuis@yahoo.co.uk>

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