Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables


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Documentation for package ‘REndo’ version 2.4.10

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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