Summarize Marginal Effects of Multivariate Probit Models

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Description

These methods prepare and print a statistical summary of marginal effects of multivariate probit models.

Usage

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## S3 method for class 'mvProbitMargEff'
summary( object, ... )

## S3 method for class 'summary.mvProbitMargEff'
print( x, digits = 4, ... )

Arguments

object

object of class "mvProbitMargEff" (returned by mvProbitMargEff or margEff.mvProbit).

x

object of class "summary.mvProbitMargEff" (returned by summary.mvProbitMargEff).

digits

positive integer specifiying the minimum number of significant digits to be printed (passed to printCoefmat).

...

currently not used.

Value

summary.mvProbitMargEff returns an object of class "summary.mvProbitMargEff" inheriting from class "matrix". The returned object is a matrix with four columns, where the marginal effects are in the first column, their standard errors are in the second column, corresponding ‘z values’ are in the third column, and the resulting ‘P values’ are in the last column.

Author(s)

Arne Henningsen

See Also

mvProbitMargEff, margEff.mvProbit, mvProbit.