Posts Tagged ‘ Marginal Effects ’

Probit/Logit Marginal Effects in R

April 23, 2012
Probit/Logit Marginal Effects in R

The common approach to estimating a binary dependent variable regression model is to use either the logit or probit model. Both are forms of generalized linear models (GLMs), which can be seen as modified linear regressions that allow the dependent variable to originate from non-normal distributions. The coefficients in a linear regression model are marginal

Read more »