dataLatentIV

A dataset with one endogenous, discrete regressor used for exemplifying the use of the Latent Instrumental Variable function <code><a rd-options="" href="/link/latentIV?package=REndo&version=1.3" data-mini-rdoc="REndo::latentIV">latentIV</a></code>.

datasets

Fits linear models with endogenous regressor using latent
instrumental variable approaches. The methods included in the package
are Lewbel's (1997) <doi:10.2307/2171884> higher moments approach as well as Lewbel's (2012) <doi:10.1080/07350015.2012.643126>
heteroskedasticity approach, Park and Gupta's (2012) <doi:10.1287/mksc.1120.0718>joint estimation method
that uses Gaussian copula and Kim and Frees's (2007) <doi:10.1007/s11336-007-9008-1> multilevel generalized
method of moment approach that deals with endogeneity in a multilevel setting.
These are statistical techniques to address the endogeneity problem where no
external instrumental variables are needed.
This version:
- includes an omitted variable test in the multilevel estimation. It is reported in the summary() function of the
multilevelIV() function.
- resolves the error "Error in listIDs[, 1] : incorrect number of dimensions" when using the multilevelIV() function.
- a new simulated dataset is provided, dataMultilevelIV, on which to exemplify the multilevelIV() function.

Raluca Gui

REndo

Fitting Linear Models with Endogenous Regressors using Latent
Instrumental Variables

dataLatentIV function

A data frame with 2500 observations on the following 3 variables.<dl class="dl-horizontal">
 <dt><code>y</code></dt><dd>a numeric vector representing the dependent variable.</dd>
 <dt><code>P</code></dt><dd>a numeric vector representing a discrete and endogenous regressor.</dd>
 <dt><code>Z</code></dt><dd>a numeric vector representing the discrete, latent IV used to build P.</dd>
 </dl>

Format

A dataset with one endogenous, discrete regressor used for exemplifying the use of the Latent Instrumental Variable function <code><a rd-options='' href='latentIV'>latentIV</a></code>.

Simulated Dataset — dataLatentIV

A data frame with 2500 observations on the following 3 variables.<dl class='dl-horizontal'>
 <dt><code>y</code></dt><dd>a numeric vector representing the dependent variable.</dd>
 <dt><code>P</code></dt><dd>a numeric vector representing a discrete and endogenous regressor.</dd>
 <dt><code>Z</code></dt><dd>a numeric vector representing the discrete, latent IV used to build P.</dd>
 </dl>

dataLatentIV: Simulated Dataset

Description

Usage

Arguments

Format

Details

See Also