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From |
Austin Nichols <austinnichols@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: automatically adjusting for bias in antilog transformation? |

Date |
Fri, 1 Oct 2010 13:49:37 -0400 |

Tatyana Deryugina <tatyanad@mit.edu>: clear all sysuse nlsw88 ren married x1 ren south x2 ren ttl_exp z1 ren tenure z2 ren wage y prog dyxx, eclass poisson y x1 x2 z*, r preserve predict yhat if e(sample) replace x1=0 replace x2=0 predict y0 g dy=y0-yhat su dy restore tempvar e g `e'=e(sample) mat b=r(mean) eret post b, es(`e') end dyxx bs:dyxx See also http://www.stata.com/meeting/boston10/boston10_nichols.pdf for some simulations on how well GLM with a log link (or -poisson-) does relative to common alternatives. On Fri, Oct 1, 2010 at 1:19 PM, Tatyana Deryugina <tatyanad@mit.edu> wrote: > Thank you for the article reference! It was a very informative read. > Unfortunately, I'm still not sure how I can do what I'd like to do. > Suppose I have a model Y = exp(ax_1+bx_2+Z'c+epsilon), where Z is a > large number of controls. What I want to compute is E(Y|X_1,X_2 = 0) - > E(Y|X_1=x_1,X_2 = x_2) or, alternatively, the effect on Y (not its > log) of x_1 and x_2 (both x_1 and x_2 are dummy variables). Is there a > simple way to do this with GLM? > > Sincerely, > Tatyana * * 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/

**References**:**RE: st: automatically adjusting for bias in antilog transformation?***From:*Tatyana Deryugina <tatyanad@mit.edu>

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