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From |
A Loumiotis <antonis.loumiotis@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: AW: mfx-Elasticity for a dummy variable |

Date |
Tue, 8 Jun 2010 14:15:22 +0300 |

The elasticity of y with respect to the dummy variable in the way that you have defined your regression will be the coefficient of the dummy variable T divided by the dummy variable itself. On Tue, Jun 8, 2010 at 2:05 PM, A Loumiotis <antonis.loumiotis@gmail.com> wrote: > Nyasha, > > The elasticity of y with respect to the dummy variable in the way that > you have defined your regression will be the coefficient of the dummy > variable T times the dummy variable itself. If you calculate it at > the mean point of T then it will be different from the coefficient of > the dummy variable. If you calculate it at T=1, it will be the same. > > However elasticities with respect to dummy variables have no > meaningful interpretation because the dummy variable changes in a > discrete fashion (from 0 to 1). > > Antonis Loumiotis > > On Mon, Jun 7, 2010 at 6:24 PM, Nyasha Tirivayi <ntirivayi@gmail.com> wrote: >> Dear Martin >> >> Thanks for the code. Now the results are different. I was using the >> wrong code i.e mfx , dyex at(mean) instead of mfx compute, >> varlist(logweight) dyex at(mean). >> >> Regards >> >> Nyasha Tirivayi >> Maastricht University >> >> >> >> On Mon, Jun 7, 2010 at 9:16 AM, Martin Weiss <martin.weiss1@gmx.de> wrote: >>> >>> <> >>> >>> What is the difference of your example to this one - where the marginal >>> effects do seem to change: >>> >>> >>> ************* >>> sysuse auto, clear >>> gen logprice=log(price) >>> gen logweight=log(weight) >>> reg logprice length logweight foreign >>> mfx compute, varlist(logweight) dydx at(mean) >>> mfx compute, varlist(logweight) eyex at(mean) >>> mfx compute, varlist(logweight) dyex at(mean) >>> mfx compute, varlist(logweight) eydx at(mean) >>> ************* >>> >>> >>> >>> HTH >>> Martin >>> >>> -----Ursprüngliche Nachricht----- >>> Von: owner-statalist@hsphsun2.harvard.edu >>> [mailto:owner-statalist@hsphsun2.harvard.edu] Im Auftrag von Nyasha Tirivayi >>> Gesendet: Montag, 7. Juni 2010 02:50 >>> An: statalist@hsphsun2.harvard.edu >>> Betreff: st: mfx-Elasticity for a dummy variable >>> >>> Dear All >>> >>> I am trying to estimate elasticity for a dummy explanatory variable in >>> the following model >>> >>> ln(y) = a + b ln(x) + T + D Z >>> >>> >>> >>> I am interested in calculating the elasticity for T a dummy variable >>> for a "treatment". What is the formula in stata? Is it mfx,dy/dx or >>> mfx,dyex? >>> >>> >>> >>> I have done mfx,dyex and the result still remains the coefficient for >>> T. Could it be that simple? Or there is another way ? >>> >>> >>> >>> Kindly advise >>> >>> >>> >>> Nyasha Tirivayi >>> >>> Maastricht University >>> * >>> * 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/ >> > * * 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**:**AW: st: AW: mfx-Elasticity for a dummy variable***From:*"Martin Weiss" <martin.weiss1@gmx.de>

**References**:**st: mfx-Elasticity for a dummy variable***From:*Nyasha Tirivayi <ntirivayi@gmail.com>

**Re: st: AW: mfx-Elasticity for a dummy variable***From:*Nyasha Tirivayi <ntirivayi@gmail.com>

**Re: st: AW: mfx-Elasticity for a dummy variable***From:*A Loumiotis <antonis.loumiotis@gmail.com>

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