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From |
"Ada Ma" <heu034@googlemail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: negative binomial postest Q - how to predict X's setting Y=0? |

Date |
Mon, 22 Sep 2008 01:43:42 +0100 |

Dear Statalisters, I have estimated a negative binomial model using STATA's nbreg (I'm using negbin2). The model features a dependent variable Y, and a bunch of explanatory variables which includes a policy explanatory variable X. X is continuous and can be positive or negative. I want to calculate the values of X's where Y would equal to zero. Are there examples out there that I can follow? Are there potential pitfalls I might face? My plan - daft but I imagine it should ensure that I avoid most pitfalls - is to keep on increasing / decreasing X's by 1 and use the revised X's to predict Y_hat. If I try all the possible values (min X to max X) then I should have a large number of predict Y_hats based on the altered X's, if the predicted Y_hat is close to zero than the corresponding altered X's should be the ones I'm shooting for. I'd love to be given suggestions on what are the smarter methods. Thank a lot in advance!! Ada -- Ada Ma Research Fellow Health Economics Research Unit University of Aberdeen, UK. http://www.abdn.ac.uk/heru/ Tel: +44 (0) 1224 553863 Fax: +44 (0) 1224 550926 * * 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/

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