Learn R Programming

⚠️There's a newer version (2.4.10) of this package.Take me there.

REndo

R Package implementing state of the art methods to controll for endogeneity when no instrumental variables are available.

The first version of the package comprises two methods, the latent instrumental variables (LIV) method proposed by Ebbes et al. (2005), and the higher moments approach proposed by Lewbel (1997).

A second verion of the pacakge will incorporate the joint estimation method using Gaussian copulas (Park and Gupta, 2012) and the mixed generalized method of moments proposed by Kim and Frees (2007). The later method can be used to treat endogeneity in multilevel models.

Copy Link

Version

Install

install.packages('REndo')

Monthly Downloads

1,461

Version

1.0

License

GPL-3

Maintainer

Raluca Gui

Last Published

December 8th, 2015

Functions in REndo (1.0)

liv-class

liv S4 Object
internalIV

Constructs Internal Instrumental Variables From Data
liv

Fitting Linear Models with one Endogenous Regressor using Latent Instrumental Variables
dataLIV

Simulated Dataset
dataHMLewbel

Simulated Dataset
checkAssumptions

Checks Assumptions for Constructing Internal Instruments
logL

Likelihood Estimation for liv
hmlewbel

Fitting Linear Models with Endogenous Regressors using Lewbel's Higher Moments Approach