# st: RE: ST: mfx output

 From "Martin Weiss" To Subject st: RE: ST: mfx output Date Sun, 27 Sep 2009 15:48:02 +0200

```<>

http://www.stata.com/statalist/archive/2009-02/msg00301.html

HTH
Martin

-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Laura Platchkov
Sent: Samstag, 19. September 2009 14:51
To: statalist@hsphsun2.harvard.edu
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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