coef.selection {sampleSelection} | 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", ...) ## S3 method for class 'coef.selection' print( x, prefix = TRUE, digits = max(3, getOption("digits") - 3), ... )
object |
object of class |
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). |
x |
object returned by |
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. |
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, 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")