REndo-package |
Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables |
confint.rendo.boots |
Confidence Intervals for Bootstrapped Model Parameters |
copulaCorrection |
Fitting Linear Models Endogenous Regressors using Gaussian Copula |
dataCopCont |
Simulated Dataset with One Endogenous Continuous Regressor |
dataCopCont2 |
Simulated Dataset with Two Endogenous Continuous Regressor |
dataCopDis |
Simulated Dataset with One Endogenous Discrete Regressor |
dataCopDis2 |
Simulated Dataset with Two Endogenous Discrete Regressors |
dataCopDisCont |
Simulated Dataset with Two Endogenous Regressors |
dataHetIV |
Simulated Dataset with One Endogenous Continuous Regressor |
dataHigherMoments |
Simulated Dataset with One Endogenous Regressor |
dataLatentIV |
Simulated Dataset with One Endogenous Continuous Regressor |
dataMultilevelIV |
Multilevel Simulated Dataset - Three Levels |
hetErrorsIV |
Fitting Linear Models with Endogenous Regressors using Heteroskedastic Covariance Restrictions |
higherMomentsIV |
Fitting Linear Models with Endogenous Regressors using Lewbel's Higher Moments Approach |
latentIV |
Fitting Linear Models with one Endogenous Regressor using Latent Instrumental Variables |
multilevelIV |
Fitting Multilevel GMM Estimation with Endogenous Regressors |
predict.rendo.copula.correction |
Predict method for Models using the Gaussian Copula Approach |
predict.rendo.ivreg |
Predict method for fitted Regression Models with Internal Instrumental Variables |
predict.rendo.latent.IV |
Predict method for Models using the Latent Instrumental Variables approach |
predict.rendo.multilevel |
Predict method for Multilevel GMM Estimations |
REndo |
Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables |
summary.rendo.copula.correction |
Summarizing Bootstrapped copulaCorrection Model Fits |
summary.rendo.latent.IV |
Summarizing latentIV Model Fits |
summary.rendo.multilevel |
Summarizing Multilevel GMM Estimation with Endogenous Regressors Model Fits |
vcov.rendo.boots |
Calculate Variance-Covariance Matrix for Models Fitted with Bootstrapped Parameters |