Package index • heckmanGE

All functions

bread.heckmanGE(): bread.heckmanGE

coef(<heckmanGE>): Extract Coefficients from a Generalized Heckman Model

estfun.heckmanGE(): Compute Estimating Functions for Generalized Heckman Model

fitheckmanGE(): fitheckmanGE

fitted(<heckmanGE>): fitted.heckmanGE Extract Fitted Values of the Generalized Heckman Model

heckmanGE(): heckmanGE: A Package for Fitting Sample Selection Models

meat.heckmanGE(): meat.heckmanGE Compute Meat of the Covariance Matrix for the Generalized Heckman Model

meatCL.heckmanGE(): meatCL.heckmanGE Compute the Meat Matrix for a Heckman-Ge Model with Clustering

MEPS2001: Medical Expenditure Panel Survey (MEPS) Data

model.frame(<heckmanGE>): model.frame.heckmanGE Get the Model Frames of a Generalized Heckman Regression

model.matrix(<heckmanGE>): model.matrix.heckmanGE Get the Design Matrices of a Generalized Heckman Regression

pnadC_y2024q2: PNAD Continua de 2024, 2 trimestre

predict(<heckmanGE>): predict.heckmanGE Predictions from the Generalized Heckman Model

print(<heckmanGE>): print.heckmanGE Print of Generalized Heckman Model Results

residuals(<heckmanGE>): residuals.heckmanGE Extract Residuals of the Generalized Heckman Model

sandwich.heckmanGE(): sandwich.heckmanGE Sandwich Estimator for Generalized Heckman Model

simulation: Simulation dataset for the heckmanGE example

step2(): step2: Two-Step Estimation Function

summary(<heckmanGE>): summary.heckmanGE Summary of Generalized Heckman Model

vcov(<heckmanGE>): vcov.heckmanGE Variance-Covariance Matrix of the Generalized Heckman Model

vcovCL.heckmanGE(): Variance-Covariance with Cluster Correction for Heckman Models