I am estimating a multinomial logit model using mlogit. My dependent variable, y, has three outcomes (1, 2, and 3), and my independent variable, x, is a continuous float between 0 and 15. My code:

Code:
. quiet mlogit y x
. margins, dyex(x)

Average marginal effects                        Number of obs     =      8,185
Model VCE    : OIM

dy/ex w.r.t. : x
1._predict   : Pr(y==1), predict(pr outcome(1))
2._predict   : Pr(y==2), predict(pr outcome(2))
3._predict   : Pr(y==3), predict(pr outcome(3))

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/ex   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
x          |
    _predict |
          1  |  -.0049955   .0030267    -1.65   0.099    -.0109277    .0009367
          2  |  -.0136631   .0032885    -4.15   0.000    -.0201085   -.0072177
          3  |   .0186586   .0035522     5.25   0.000     .0116965    .0256207
------------------------------------------------------------------------------
I read this as:

A 100% increase in "x" increases "Pr(y==1)" by 0.49955 percentage points.
Is this the correct interpretation of the reported semi-elasticities?

Thanks!