formula: an object of class ``formula'' (or one that can be coerced to that class).
data: the data frame containing these data. This argument must be used.
atmean: default marginal effects represent the partial effects for the average observation. If atmean = FALSE the function calculates average partial effects.
robust: if TRUE the function reports White/robust standard errors.
clustervar1: a character value naming the first cluster on which to adjust the standard errors.
clustervar2: a character value naming the second cluster on which to adjust the standard errors for two-way clustering.
start: starting values for the parameters in the glm model.
control: see glm.control.
Details
If both robust=TRUE and !is.null(clustervar1) the function overrides the robust
command and computes clustered standard errors.
Returns
mfxest: a coefficient matrix with columns containing the estimates, associated standard errors, test statistics and p-values.
fit: the fitted glm object.
dcvar: a character vector containing the variable names where the marginal effect refers to the impact of a discrete change on the outcome. For example, a factor variable.
call: the matched call.
References
William H. Greene (2008). Econometric Analysis (6th ed.). Prentice Hall, N.Y. pp 770-787.