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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