vcov.msel: Calculate Variance-Covariance Matrix for a msel Object.

In switchSelection: Endogenous Switching and Sample Selection Regression Models

Calculate Variance-Covariance Matrix for a msel Object.

Description

Return the variance-covariance matrix of the parameters of msel model.

Usage

## S3 method for class 'msel'
vcov(
  object,
  ...,
  type = object$cov_type,
  n_cores = object$other$n_cores,
  n_sim = object$other$n_sim,
  recalculate = FALSE
)

Arguments

object	an object of class msel.
...	further arguments (currently ignored).
type	character representing the type of the asymptotic covariance matrix estimator. It takes the same values as cov_type parameter of the msel function.
n_cores	positive integer representing the number of CPU cores used for parallel computing. If possible it is highly recommend to set it equal to the number of available physical cores especially when the system of ordered equations has 2 or 3 equations.
n_sim	integer representing the number of GHK draws when there are more than 3 ordered equations. Otherwise alternative (much more efficient) algorithms will be used to calculate multivariate normal probabilities.
recalculate	logical; if TRUE then covariance matrix will be recalculated even if 'type' is the same as 'cov_type' input argument of the model.

Details

Argument type is closely related to the argument cov_type of msel function. See 'Details' and 'Usage' sections of msel for more information on cov_type argument.

Value

Returns numeric matrix which represents estimate of the asymptotic covariance matrix of model's parameters.

switchSelection documentation built on Sept. 26, 2024, 5:07 p.m.