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=1.2" 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:
- solves an error occurring when using the multilevelIV() function with two levels, random intercept.
- returns the AIC and BIC for copulaCorrection() (method 1) and latentIV() methods.
- residuals and fitted values can be saved by users for latentIV() and copulaCorrection() methods.
- improves the summary methods for copulaCorrection() and multilevelIV() functions.

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>.


 — 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>

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dataLatentIV:

Description

Usage

Arguments

Format

Details

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