| coef.selection {micEcon} | R Documentation |
This function extracts coefficients from sample selection models
## S3 method for class 'selection': coef(object, part = "full", ...) ## S3 method for class 'summary.selection': coef(object, part = "full", ...)
object |
object of class selection
or summary.selection. |
part |
character string indication which parts to extract: "full" for all estimated parameters (selection estimates, outcome estimates, error variance and correlation) or "outcome" for the outcome estimates only (including the coefficient of the inverse Mill's ratio in case of a two-step estimation). |
... |
currently not used. |
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.
Arne Henningsen ahenningsen@agric-econ.uni-kiel.de, Ott Toomet (otoomet@ut.ee)
coefficients, selection,
summary.selection, and vcov.selection
## 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")