Hello!
I am running an ordered probit model and would like to obtain marginal effects afterwards. My outcome variable has 5 levels (strongly disagree to strongly agree) and my predictor variable measures the distance to the closest park in km.
I am not sure how to interpret the marginal effects after my regression:
oprobit community_meeting distParks i.education i.gender age i.living_condition degUrban i.province_dummy if excl_analysis == 0, robust cluster (district_dummy)
margins, dydx (distParks)
Please see attached a screenshot of the estimated marginal effects table.
I do not understand which my reference group is as the numbers represent a change in probability as far as I understand.
Any help is very much appreciated! Thank you so much in advance.
I am running an ordered probit model and would like to obtain marginal effects afterwards. My outcome variable has 5 levels (strongly disagree to strongly agree) and my predictor variable measures the distance to the closest park in km.
I am not sure how to interpret the marginal effects after my regression:
oprobit community_meeting distParks i.education i.gender age i.living_condition degUrban i.province_dummy if excl_analysis == 0, robust cluster (district_dummy)
margins, dydx (distParks)
Please see attached a screenshot of the estimated marginal effects table.
I do not understand which my reference group is as the numbers represent a change in probability as far as I understand.
Any help is very much appreciated! Thank you so much in advance.
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