Laura Platchkov wrote:
> 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:
An increase of 1 unit in a logged RHS variable corresponds to a 100%
increase in its value, which in turn will be associated with an
increase of y units in your response variable.
> - Is the "y = fitted values (predict) " the predicted value for the dependent at the mean of
the sample?
Yes.
> - what does the X stand for?
The mean value of each variable.
> - 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
[...]
The coefficients listed under dy/dx give you the marginal effects. To
calculate alternative elasticities, consult -help mfx-.
--
Clive Nicholas
[Please DO NOT mail me personally here, but at
<[email protected]>. Please respond to contributions I make in
a list thread here. Thanks!]
"My colleagues in the social sciences talk a great deal about
methodology. I prefer to call it style." -- Freeman J. Dyson.
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