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From |
jhilbe@aol.com |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Subject: st: how to interpret interaction effects in negative binomial model |

Date |
Tue, 23 Mar 2010 11:42:42 -0400 |

Joseph Hilbe From: "WANG Shiheng" <acwang@ust.hk>

Dear all,

period). â€œtreatmentâ€ is a dummy variable (0 or 1) to indicate two

interaction is the product of the two dummies. The dependent variable is the number of analysts. My research objective is to examine whether the number of analysts changes over the two periods, and whether the changes over periods differ between the treatment sample and control sample. I have the following questions for the estimates below:

change in the number of analysts from period 1 to period2 is not statistically significant in the control group? (2) the coefficient on the interaction term "post*treatment" is significantly positive, does this mean that the change in the number of analysts from period 1 to period2 is significantly greater in the

on the interaction term exactly? How can I calculate if the changes in

sample and control sample?

(Std.Err.adjusted for 45 clusters in n)

-- | Robust

-- Your help is greatly appreciated. - -- Shiheng Wang Assistant Professor Department of Accounting School of Business and Management Hong Kong University of Science and Technology Tel: 852 2358 7570 Fax: 852 2358 1693 Email: acwang@ust.hk * * 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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