<>
http://www.stata.com/statalist/archive/2009-02/msg00301.html
HTH
Martin
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Laura Platchkov
Sent: Samstag, 19. September 2009 14:51
To: [email protected]
Subject: st: ST: mfx output
Dear statalist users,
I was just wondering how to interpret the mfx function, because I fail to
find anotated output. In particular, how do I interpret the output when my
independent variables is in logarithm form? And:
- Is the "y = fitted values (predict) " the predicted value for the
dependent at the mean of the sample?
- what does the X stand for?
- how do I do to compute the elasiticites?
mfx
Marginal effects after regress
y = Fitted values (predict)
= 6.6559795
----------------------------------------------------------------------------
--
variable | dy/dx Std. Err. z P>|z| [ 95% C.I. ] X
---------+------------------------------------------------------------------
--
dtempwin | .2421058 .24952 0.97 0.332 -.246949 .73116
.050837
dtempspr | .4376307 .2409 1.82 0.069 -.034528 .90979
.023661
dtempsum | -.1514247 .89739 -0.17 0.866 -1.91027 1.60742
.024777
dtempfal | -.6262103 .94935 -0.66 0.509 -2.48691 1.23448
.019205
dpreci~n | -1.346017 .57004 -2.36 0.018 -2.46327 -.228766
-.899125
dpreci~r | .9487695 .42794 2.22 0.027 .110019 1.78752
-.116792
dpreci~m | -.675565 .24334 -2.78 0.006 -1.15251 -.19862
3.35233
dpreci~l | .5008795 .16544 3.03 0.002 .176633 .825126
4.32255
dtempw~2 | .0233782 .09772 0.24 0.811 -.168145 .214902
2.35825
dtemp~r2 | .2214721 .12956 1.71 0.087 -.032469 .475414
3.88076
dtemp~m2 | .5369094 .39422 1.36 0.173 -.235748 1.30957
3.32566
dtempf~2 | -.6301785 .59813 -1.05 0.292 -1.80249 .542135
1.22008
dprec~n2 | .0058086 .00205 2.83 0.005 .001792 .009825
1452.24
dprec~r2 | -.0038283 .00196 -1.95 0.051 -.007677 .00002
801.534
dprec~m2 | .0033669 .00113 2.99 0.003 .001158 .005576
7734.41
dprec~l2 | -.0011596 .00033 -3.53 0.000 -.001803 -.000516
10793.5
soil1 | -2.832005 1.72421 -1.64 0.100 -6.2114 .547394
.013659
soil2 | 41.66267 16.865 2.47 0.013 8.60754 74.7178
.0086
ln_area | -.3286273 .05804 -5.66 0.000 -.442382 -.214873
.79798
rec_di~B | -.4837681 .29385 -1.65 0.100 -1.0597 .092168
.070454
rec_di~Y | -.990503 .64856 -1.53 0.127 -2.26167 .280661
.05256
----------------------------------------------------------------------------
--
Thanks a lot,
Laura
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