Dear Statalisters:
I run -mfx- after -logit- and have some difficulties to interpret some of the elements displayed in the mfx output. I provide below an example.
. mfx
Marginal effects after logit
y = Pr(ar_english) (predict)
= .7000302
------------------------------------------------------------------------------
variable | dy/dx Std. Err. z P>|z| [ 95% C.I. ] X
---------+--------------------------------------------------------------------
size2 | .1079549 .00804 13.43 0.000 .092198 .123712 5.5668
int_sa~s | .2011792 .03358 5.99 0.000 .135357 .267001 .392419
listing*| .2169588 .03599 6.03 0.000 .14641 .287507 .109184
concent | -.0028278 .00046 -6.18 0.000 -.003725 -.001931 51.4973
roa_~l_w | -.4606671 .11855 -3.89 0.000 -.693019 -.228316 .003571
growt~p3 | .1219913 .02001 6.10 0.000 .082775 .161208 1.38071
levera~f | -.4810831 .06037 -7.97 0.000 -.599402 -.362765 .570702
tongu~rt | -.0413828 .00491 -8.42 0.000 -.051014 -.031751 2.36958
ln_mkt~b | -.0316398 .00991 -3.19 0.001 -.051056 -.012223 26.8543
------------------------------------------------------------------------------
(*) dy/dx is for discrete change of dummy variable from 0 to 1
I understand the meaning of dy/dx, 95% CI and X. However, I don't know how to read the z and associated p-value. What is the underlying test? Is the Std. Err. an important element to display? In other terms, if you want to present some of the elements of the output in a paper, which ones would you chose? dy/dx? Std. Err? z? p(z)? CI? X?
I checked in the Stata manual but did not find the answer (probably because the answer is too obvious).
Best regards
Herve Stolowy
***********************************************************
Professeur/Professor
President of the French Accounting Association (AFC)
HEC Paris
Departement Comptabilite Controle de gestion / Dept of Accounting and Management Control
1, rue de la Liberation
78351 - Jouy-en-Josas
France
Tel: +33 1 39 67 94 42 - Fax: +33 1 39 67 70 86
mail: stolowy at hec dot fr
web: http://www.hec.fr/stolowy
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