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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: Data from Card (1995) to estimate the effect of college...</title>
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<table width="100%" summary="page for close_college"><tr><td>close_college</td><td style="text-align: right;">R Documentation</td></tr></table>
<h2>Data from Card (1995) to estimate the effect of college education on earnings</h2>
<h3>Description</h3>
<p>Data from the National Longitudinal Survey Young Men Cohort. This data is used to estimate the effect of college education on earnings, using the presence of a nearby (in-county) college as an instrument for college attendance.
</p>
<h3>Usage</h3>
<pre>
close_college
</pre>
<h3>Format</h3>
<p>A data frame with 3010 rows and 8 variables
</p>
<dl>
<dt>lwage</dt><dd><p>Log wages</p>
</dd>
<dt>educ</dt><dd><p>Years of education</p>
</dd>
<dt>exper</dt><dd><p>Years of work experience</p>
</dd>
<dt>black</dt><dd><p>Race: Black</p>
</dd>
<dt>south</dt><dd><p>In the southern United States</p>
</dd>
<dt>married</dt><dd><p>Is married</p>
</dd>
<dt>smsa</dt><dd><p>In a Standard Metropolitan Statistical Area (urban)</p>
</dd>
<dt>nearc4</dt><dd><p>There is a four-year college in the county</p>
</dd>
</dl>
<h3>Details</h3>
<p>This data is used in the <em>Instrumental Variables</em> chapter of <em>Causal Inference: The Mixtape</em> by Cunningham.
</p>
<h3>Source</h3>
<p>Card, David. 1995. “Aspects of Labour Economics: Essays in Honour of John Vanderkamp.” In. University of Toronto Press.
</p>
<h3>References</h3>
<p>Cunningham. 2021. Causal Inference: The Mixtape. Yale Press. <a href="https://mixtape.scunning.com/index.html">https://mixtape.scunning.com/index.html</a>.
</p>
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