auxdat_medisc

A simulated auxiliary data to show how to use 'bndovbme' function with discrete proxy variables

datasets

Functions to implement a Hwang(2021) <doi:10.2139/ssrn.3866876> estimator, which bounds an omitted variable bias using auxiliary data.

Yujung Hwang

bndovb

Bounding Omitted Variable Bias Using Auxiliary Data

auxdat_medisc function

A data frame with 3000 rows and 5 variables:<dl class="dl-horizontal">
<dt>w1</dt><dd>A common covariate in both main and auxiliary data</dd>
<dt>x</dt><dd>A common covariate in both main and auxiliary data</dd>
<dt>z1</dt><dd>A discrete proxy variable</dd>
<dt>z2</dt><dd>A discrete proxy variable</dd>
<dt>z3</dt><dd>A discrete proxy variable</dd>
</dl>

Format

A simulated auxiliary data to show how to use 'bndovbme' function with discrete proxy variables — auxdat_medisc

A data frame with 3000 rows and 5 variables:<dl class='dl-horizontal'>
<dt>w1</dt><dd>A common covariate in both main and auxiliary data</dd>
<dt>x</dt><dd>A common covariate in both main and auxiliary data</dd>
<dt>z1</dt><dd>A discrete proxy variable</dd>
<dt>z2</dt><dd>A discrete proxy variable</dd>
<dt>z3</dt><dd>A discrete proxy variable</dd>
</dl>

auxdat_medisc: A simulated auxiliary data to show how to use 'bndovbme' function with discrete proxy variables

Description

Usage

Arguments

Format