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<table width="100%" summary="page for Earnings"><tr><td>Earnings</td><td align="right">R Documentation</td></tr></table>

<h2>Earnings for Three Age Groups </h2>

<h3>Description</h3>


<p>a cross-section from 1988-1989
</p>
<p><EM>number of observations</EM> :  4266
</p>
<p><EM>observation</EM> :  individuals
</p>
<p><EM>country</EM> :  United States
</p>


<h3>Usage</h3>

<pre>data(Earnings)</pre>


<h3>Format</h3>

<p>A dataframe containing :
</p>

<dl>
<dt>age</dt><dd><p>age groups, a factor with levels (g1,g2,g3)</p>
</dd>
<dt>y</dt><dd><p>average annual earnings, in 1982 US dollars</p>
</dd>
</dl>



<h3>Source</h3>


<p>Mills, Jeffery A.  and  Sourushe  Zandvakili (1997) &ldquo;Statistical Inference via  Bootstrapping for Measures of Inequality&rdquo;, <EM>Journal of Applied Econometrics</EM>, <B>12(2)</B>, pp. 133-150.
</p>


<h3>References</h3>


<p>Davidson, R.  and  James G.  MacKinnon (2004) <EM>Econometric Theory and Methods</EM>, New York, Oxford University Press, <a href="http://www.econ.queensu.ca/ETM/">http://www.econ.queensu.ca/ETM/</a>, chapter 5 and 7.
</p>
<p>Journal of Applied Econometrics data archive : <a href="http://jae.wiley.com/jae/">http://jae.wiley.com/jae/</a>.
</p>


<h3>See Also</h3>

<p><code>Index.Source</code>, <code>Index.Economics</code>, <code>Index.Econometrics</code>, <code>Index.Observations</code></p>


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