Dear All,

Will someone please kindly inform me if I am interpreting the following Average Adjusted Prediction (AAP) and Average Marginal Effect (AME) correctly? Most predicted probabalitly examples I found online are using the atmeans option.

Code:
use http://fmwww.bc.edu/RePEc/bocode/o/oaxaca.dta, clear

svyset [pw=wt]

gen lnwage2 = lnwage > 3 if lnwage < .

svy, subpop(lfp): probit lnwage2 c.age##c.age female educ exper tenure
margins, subpop(lfp)
margins, dydx(*) subpop(lfp)
Predictive margins Number of obs = 1,434
Subpop. no. obs = 1,434
Model VCE : Linearized

Expression : Pr(lnwage2), predict()

------------------------------------------------------------------------------
| Delta-method
| Margin Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_cons | .8068882 .0100654 80.16 0.000 .7871603 .8266161
------------------------------------------------------------------------------


Interpretation: An average labor force participant has an 80.7% chance of earning a log hourly wage greater than 3.

Average marginal effects Number of obs = 1,434
Subpop. no. obs = 1,434
Model VCE : Linearized

Expression : Pr(lnwage2), predict()
dy/dx w.r.t. : age female educ exper tenure

------------------------------------------------------------------------------
| Delta-method
| dy/dx Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
age | .007352 .0014939 4.92 0.000 .004424 .01028
female | -.1404273 .0207117 -6.78 0.000 -.1810214 -.0998331
educ | .0380656 .0066568 5.72 0.000 .0250186 .0511126
exper | .0028385 .0016122 1.76 0.078 -.0003214 .0059983
tenure | .0021601 .0017968 1.20 0.229 -.0013616 .0056818
------------------------------------------------------------------------------
.
Interpretation: Being female reduces the average probability of having a log hourly wage greater than 3 by 14.0% compared to being male. A 1 year increase in age increase the average probability of lnwage2=1 by 0.7%.

Thank you in advance.