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Predicted probabilities and marginal effects after (ordered) logit/ probit using margins in Stata ( ) Oscar Torres-Reyna February 2014 _cons .8575618 .0512873 .7570405 .9580832 Margin Std. Err. z P>|z| [95% Conf. Interval] Delta-method = .2285714 (mean) = .2714286 (mean) = .2142857 (mean) = .2857143 (mean) x3 = .761851 (mean) x2 = .1338694 (mean)at : x1 = .6480006 (mean)Expression : Pr(y_bin), predict()Model VCE : OIMA djusted predictions Number of obs = 70.
Predicted probabilities and marginal effects after (ordered) logit/probit using margins in Stata (v2.0) Oscar Torres-Reyna otorres@princeton.edu
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Harpur Hill, Buxton, Derbyshire, SK17 9JN, Probit, 12 Probit and Logit, Columbia University, Logistical Regression II— Multinomial, Interaction term vs. interaction effect, Methods of approximation and determination of, Methods of approximation and determination of human, Discrete Choice, Econometrics II Lecture 2: Discrete Choice Models