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From |
Jessie C <jessiecoh@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: Re: Poisson and marginal effects |

Date |
Sun, 13 May 2012 18:57:14 -0400 |

Thank you for your help. I am interested in comparing the Poisson estimates to OLS estimates. Would the comparison be the OLS regression of log y versus Poisson of y and I multiply the coefficient coming from f the Poisson regression by the mean of y? The variable of interest is discrete. If the coefficient is beta_1, how I interpret that? Is it a going from 0 to 1 increases y by beta_1 percent? or beta_1 * mean y percent? On Sun, May 13, 2012 at 6:41 PM, Jeffrey Wooldridge <jmwooldridge60@gmail.com> wrote: > In Poisson regression the average partial effect of a continuous > variable is just the sample average of y times the coefficient. > Naturally, it is harder for a discrete change. There is makes sense to > obtain the predicted value at the two different settings of the > explanatory variable, with other variables evaluated at their observed > values, and average the difference. > The reason this is not regularly done in Poisson regression is that > the coefficients have interpretations as percentage changes. * * 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: Poisson and marginal effects***From:*Maarten Buis <maartenlbuis@gmail.com>

**References**:**st: Poisson and marginal effects***From:*Jessie C <jessiecoh@gmail.com>

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