I was wondering whether someone could help me get less confused.
I have run a logit model , where the dependent variable is binary and the independent variable is a country dummy. It is conditioned on a subsample of people aged 16-24.
Specifically, I have run the following code:
Code:
svy: logit Learning i.country if Agegroup==1 margins, dydx(country)
Code:
Number of strata = 10 Number of obs = 37,109
Number of PSUs = 37,109 Population size = 7,554,754
Design df = 37,099
F( 1, 37099) = 1.87
Prob > F = 0.1710
------------------------------------------------------------------------------
| Linearized
Learning | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
1.country | .0546632 .0399255 1.37 0.171 -.023592 .1329184
_cons | -1.160101 .0146527 -79.17 0.000 -1.188821 -1.131381
------------------------------------------------------------------------------
Conditional marginal effects
Number of strata = 10 Number of obs = 37,109
Number of PSUs = 37,109 Population size = 7,554,754
Model VCE : Linearized Design df = 37,099
Expression : Pr(Learning), predict()
dy/dx w.r.t. : 1.country
------------------------------------------------------------------------------
| Delta-method
| dy/dx Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
1.country | .0100735 .007433 1.36 0.175 -.0044955 .0246424
------------------------------------------------------------------------------
0 Response to Logit Confidence Intervals
Post a Comment