sampleSelection (version 1.2-12)

coef.selection: Extract Coefficients from Selection Models

Description

This function extracts coefficients from sample selection models

Usage

# S3 method for selection
coef(object, part = "full", ...)
# S3 method for summary.selection
coef(object, part = "full", ...)
# S3 method for coef.selection
print( x, prefix = TRUE,
      digits = max(3, getOption("digits") - 3), ... )

Arguments

object

object of class selection or summary.selection.

part

character string indicating which parts of the coefficients to extract: "full" for all parameters (selection estimates, outcome estimates, error variance and correlation, including parameters that were calculated based on estimated parameters), "outcome" for the outcome estimates only (including the coefficient of the inverse Mill's ratio in case of a two-step estimation), or "est" for all estimated parameters.

x

object returned by coef.selection.

prefix

logical. Add a prefix to the names of the coefficients that indicates to which equation the coefficient belongs.

digits

numeric, (suggested) number of significant digits.

…

currently not used.

Value

coef.selection returns a vector of the estimated coefficients.

coef.summary.selection returns a matrix of the estimated coefficients, their standard errors, t-values, and p-values.

See Also

coef, selection, vcov.selection, and selection-methods.

Examples

# NOT RUN {
## Estimate a simple female wage model taking into account the labour
## force participation
   data(Mroz87)
   a <- heckit(lfp ~ huswage + kids5 + mtr + fatheduc + educ + city,
               log(wage) ~ educ + city, data=Mroz87)
## extract all coefficients of the model:
coef( a )

## now extract the coefficients of the outcome model only:
coef( a, part="outcome")

## extract all coefficients, standard errors, t-values
## and p-values of the model:
coef( summary( a ) )

## now extract the coefficients, standard errors, t-values
## and p-values of the outcome model only:
coef( summary( a ), part="outcome")
# }