[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]

From |
henry.sauermann@duke.edu |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: puzzling suest test of coefficients across equations |

Date |
Tue, 23 Oct 2007 21:39:50 -0400 |

Dear all, I am estimating two equations of the following (simplified) form. Equation1: Y=b0+b1x1+e Equation2: Y=b0+b1x1+b2x2+e I now want to test whether adding x2 in equation two significantly changes the coefficient of x1 (i.e., a mediation analysis a la Baron and Kenny). It should be straightforward using suest, but I get counterintuitive results. Both equations are estimated using NBREG (negative binomial) and here are the relevant estimates for x1 after suest: Suest one two Variable coeff SE z p(z) One_uspapp (equation 1): orgtype_4 | -.2912678 .1595529 -1.83 0.068 Two_uspapp (equation 2): orgtype_4 | -.183896 .1528182 -1.20 0.229 So, orgtype_4 (my variable x1) is not significant in equation 1 and not significant in equation 2, and the coefficient is negative in both equations. Yet, according to ?test? the difference between the two coefficients is significant at 5%: . test [one_uspapp]orgtype_4=[two_uspapp]orgtype_4; ( 1) [one_uspapp]orgtype_4 - [two_uspapp]orgtype_4 = 0 chi2( 1) = 4.82 Prob > chi2 = 0.0281 I don?t see how the difference can be significant when both coefficients are negative and not different from zero ? does anybody have an explanation? Thanks a lot for your help, Henry * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

- Prev by Date:
**st: Creating Mean across panel variables** - Next by Date:
**Re: st: Repeated Measures Manova contrasts** - Previous by thread:
**st: Creating Mean across panel variables** - Next by thread:
**Re: st: Data Corruption?** - Index(es):

© Copyright 1996–2017 StataCorp LLC | Terms of use | Privacy | Contact us | What's new | Site index |