Hi,

I am estimating a probit model in which the some variables are in logs. I would like to report the marginal effects, therefore I have used the command - margins -

margins, dydx(*) atmeans -----> For Marginal Effects at Means (MEM)

margins, dydx(*) -----> For Average Marginal Effects (AME)

I don't know how to interpret the marginal effects reported by Stata.

If the marginal effect of the logs-transformed variable is 0.0729 after (MEM), how can I interpret this?

- A 1% increase in the log transformed variable increases the probability of success in a 7.29 percent points. Am I right?

Or is it better to run the probit model with the original variables and then use - margins, eyex(original variable) ?

Thanks a lot,

Pedro

I am estimating a probit model in which the some variables are in logs. I would like to report the marginal effects, therefore I have used the command - margins -

margins, dydx(*) atmeans -----> For Marginal Effects at Means (MEM)

margins, dydx(*) -----> For Average Marginal Effects (AME)

I don't know how to interpret the marginal effects reported by Stata.

If the marginal effect of the logs-transformed variable is 0.0729 after (MEM), how can I interpret this?

- A 1% increase in the log transformed variable increases the probability of success in a 7.29 percent points. Am I right?

Or is it better to run the probit model with the original variables and then use - margins, eyex(original variable) ?

Thanks a lot,

Pedro

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