~hrbrmstr/epidata

f3e8d5129a7a235f6c98ae7ef4e3e8f0d7f57a23 — Bob Rudis 3 years ago 3a7061e
pkgdown
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^README\.*html$
^NOTES\.*Rmd$
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M DESCRIPTION => DESCRIPTION +2 -2
@@ 3,9 3,9 @@ Type: Package
Title: Tools to Retrieve Economic Policy Institute Data Library Extracts
Version: 0.1.0
Date: 2017-01-04
Author: Bob Rudis (bob@@rud.is)
Encoding: UTF-8
Authors@R: c(person("Bob", "Rudis", email = "bob@rud.is", role = c("aut", "cre")))
Maintainer: Bob Rudis <bob@rud.is>
Encoding: UTF-8
Description: The Economic Policy Institute provides researchers, media, and the
    public with easily accessible, up-to-date, and comprehensive historical data on
    the American labor force. It is compiled from Economic Policy Institute analysis

M README.Rmd => README.Rmd +2 -2
@@ 40,10 40,10 @@ The following functions are implemented:
### Installation

```{r eval=FALSE}
devtools::install_git("https://gitlab.com/hrbrmstr/epidata.git")
devtools::install_github("hrbrmstr/epidata")
```

```{r message=FALSE, warning=FALSE, error=FALSE}
```{r message=FALSE, warning=FALSE, error=FALSE, include=FALSE}
options(width=120)
```


M README.md => README.md +2 -7
@@ 24,11 24,7 @@ The following functions are implemented:
### Installation

``` r
devtools::install_git("https://gitlab.com/hrbrmstr/epidata.git")
```

``` r
options(width=120)
devtools::install_github("hrbrmstr/epidata")
```

### Usage


@@ 111,7 107,7 @@ library(testthat)
date()
```

    ## [1] "Wed Jan  4 16:18:51 2017"
    ## [1] "Wed Jan  4 16:26:25 2017"

``` r
test_dir("tests/")


@@ 121,4 117,3 @@ test_dir("tests/")
    ## OK: 15 SKIPPED: 0 FAILED: 0
    ## 
    ## DONE ===================================================================================================================
    ## Nice code.

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        <p><strong>Bob Rudis</strong>. Author, maintainer.
        </p>
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<p><code>epidata</code> : Tools to Retrieve Economic Policy Institute Data Library Extracts</p>
<p>The <a href="http://www.epi.org/data/">Economic Policy Institute</a> provides researchers, media, and the public with easily accessible, up-to-date, and comprehensive historical data on the American labor force. It is compiled from Economic Policy Institute analysis of government data sources. Use it to research wages, inequality, and other economic indicators over time and among demographic groups. Data is usually updated monthly.</p>
<p>The following functions are implemented:</p>
<ul>
<li>
<code>get_black_white_wage_gap</code>: Retreive the percent by which hourly wages of black workers are less than hourly wages of white workers</li>
<li>
<code>get_college_wage_premium</code>: Retreive the percent by which hourly wages of college graduates exceed those of otherwise equivalent high school graduates</li>
<li>
<code>get_employment_to_population_ratio</code>: Retreive the share of the civilian noninstitutional population that is employed</li>
<li>
<code>get_gender_wage_gap</code>: Retreive the percent by which hourly wages of female workers are less than hourly wages of male workers</li>
<li>
<code>get_hispanic_white_wage_gap</code>: Retreive the percent by which hourly wages of Hispanic workers are less than hourly wages of white workers</li>
<li>
<code>get_labor_force_participation_rate</code>: Retreive the share of the civilian noninstitutional population that is in the labor force</li>
<li>
<code>get_long_term_unemployment</code>: Retreive the share of the labor force that has been unemployed for six months or longer</li>
<li>
<code>get_median_and_mean_wages</code>: Retreive the hourly wage in the middle of the wage distribution</li>
<li>
<code>get_non_high_school_wage_penalty</code>: Retreive the percent by which hourly wages of workers without a high school diploma (or equivalent) are less than wages of otherwise equivalent workers who have graduated from high school</li>
<li>
<code>get_underemployment</code>: Retreive the share of the labor force that is “underemployed”</li>
<li>
<code>get_unemployment</code>: Retreive the share of the labor force without a job</li>
<li>
<code>get_unemployment_by_state</code>: Retreive the share of the labor force without a job (by state)</li>
<li>
<code>get_wages_by_education</code>: Retreive the average hourly wages of workers disaggregated by the highest level of education attained</li>
<li>
<code>get_wages_by_percentile</code>: Retreive wages at ten distinct points in the wage distribution</li>
<li>
<code>get_wage_ratios</code>: Retreive the level of inequality within the hourly wage distribution.</li>
</ul>
<div id="installation" class="section level3">
<h3 class="hasAnchor">
<a href="#installation" class="anchor"> </a>Installation</h3>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">devtools::<span class="kw">install_github</span>(<span class="st">"hrbrmstr/epidata"</span>)</code></pre></div>
</div>
<div id="usage" class="section level3">
<h3 class="hasAnchor">
<a href="#usage" class="anchor"> </a>Usage</h3>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(epidata)

<span class="co"># current verison</span>
<span class="kw">packageVersion</span>(<span class="st">"epidata"</span>)</code></pre></div>
<div class="sourceCode"><pre class="sourceCode R"><code class="sourceCode r">## [1] '0.1.0'</code></pre></div>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw"><a href="reference/get_black_white_wage_gap.html">get_black_white_wage_gap</a></span>()</code></pre></div>
<div class="sourceCode"><pre class="sourceCode R"><code class="sourceCode r">## # A tibble: 43 × 8
##     date white_median white_average black_median black_average gap_median gap_average gap_regression_based
##    &lt;int&gt;        &lt;dbl&gt;         &lt;dbl&gt;        &lt;dbl&gt;         &lt;dbl&gt;      &lt;dbl&gt;       &lt;dbl&gt;                &lt;dbl&gt;
## 1   1973        17.19         19.68        13.50         15.43      0.215       0.216                0.124
## 2   1974        16.73         19.22        13.34         15.19      0.203       0.210                0.105
## 3   1975        16.54         19.23        13.43         15.14      0.188       0.213                0.107
## 4   1976        16.73         19.39        13.45         15.74      0.196       0.188                0.089
## 5   1977        16.71         19.33        13.41         15.51      0.198       0.197                0.095
## 6   1978        16.72         19.43        13.38         15.72      0.200       0.191                0.092
## 7   1979        16.88         19.64        13.85         16.09      0.180       0.181                0.090
## 8   1980        16.58         19.23        13.50         15.73      0.185       0.182                0.092
## 9   1981        16.22         19.10        13.33         15.64      0.178       0.181                0.087
## 10  1982        16.47         19.26        13.17         15.45      0.200       0.198                0.103
## # ... with 33 more rows</code></pre></div>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw"><a href="reference/get_underemployment.html">get_underemployment</a></span>()</code></pre></div>
<div class="sourceCode"><pre class="sourceCode R"><code class="sourceCode r">## # A tibble: 416 × 2
##          date   all
##        &lt;date&gt; &lt;dbl&gt;
## 1  1989-12-01 0.093
## 2  1990-01-01 0.093
## 3  1990-02-01 0.093
## 4  1990-03-01 0.094
## 5  1990-04-01 0.094
## 6  1990-05-01 0.094
## 7  1990-06-01 0.094
## 8  1990-07-01 0.094
## 9  1990-08-01 0.095
## 10 1990-09-01 0.095
## # ... with 406 more rows</code></pre></div>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw"><a href="reference/get_median_and_mean_wages.html">get_median_and_mean_wages</a></span>(<span class="st">"gr"</span>)</code></pre></div>
<div class="sourceCode"><pre class="sourceCode R"><code class="sourceCode r">## # A tibble: 43 × 25
##     date median average men_median men_average women_median women_average white_median white_average black_median
##    &lt;int&gt;  &lt;dbl&gt;   &lt;dbl&gt;      &lt;dbl&gt;       &lt;dbl&gt;        &lt;dbl&gt;         &lt;dbl&gt;        &lt;dbl&gt;         &lt;dbl&gt;        &lt;dbl&gt;
## 1   1973  16.53   19.05      19.89       22.32        12.47         14.30        17.19         19.68        13.50
## 2   1974  16.17   18.67      19.63       21.89        12.39         14.04        16.73         19.22        13.34
## 3   1975  16.05   18.64      19.76       21.81        12.43         14.14        16.54         19.23        13.43
## 4   1976  16.15   18.87      19.41       22.05        12.56         14.53        16.73         19.39        13.45
## 5   1977  16.07   18.77      19.84       22.05        12.51         14.36        16.71         19.33        13.41
## 6   1978  16.36   18.83      20.04       22.18        12.56         14.44        16.72         19.43        13.38
## 7   1979  16.15   19.06      20.30       22.46        12.66         14.63        16.88         19.64        13.85
## 8   1980  16.07   18.66      19.98       22.00        12.60         14.46        16.58         19.23        13.50
## 9   1981  15.66   18.52      19.52       21.82        12.53         14.44        16.22         19.10        13.33
## 10  1982  15.75   18.65      19.30       21.96        12.61         14.68        16.47         19.26        13.17
## # ... with 33 more rows, and 15 more variables: black_average &lt;dbl&gt;, hispanic_median &lt;dbl&gt;, hispanic_average &lt;dbl&gt;,
## #   white_men_median &lt;dbl&gt;, white_men_average &lt;dbl&gt;, black_men_median &lt;dbl&gt;, black_men_average &lt;dbl&gt;,
## #   hispanic_men_median &lt;dbl&gt;, hispanic_men_average &lt;dbl&gt;, white_women_median &lt;dbl&gt;, white_women_average &lt;dbl&gt;,
## #   black_women_median &lt;dbl&gt;, black_women_average &lt;dbl&gt;, hispanic_women_median &lt;dbl&gt;, hispanic_women_average &lt;dbl&gt;</code></pre></div>
</div>
<div id="test-results" class="section level3">
<h3 class="hasAnchor">
<a href="#test-results" class="anchor"> </a>Test Results</h3>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(epidata)
<span class="kw">library</span>(testthat)

<span class="kw">date</span>()</code></pre></div>
<div class="sourceCode"><pre class="sourceCode R"><code class="sourceCode r">## [1] "Wed Jan  4 16:25:14 2017"</code></pre></div>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">test_dir</span>(<span class="st">"tests/"</span>)</code></pre></div>
<div class="sourceCode"><pre class="sourceCode R"><code class="sourceCode r">## testthat results ========================================================================================================
## OK: 0 SKIPPED: 1 FAILED: 0
## 
## DONE ===================================================================================================================</code></pre></div>
</div>

  </div>

  <div class="col-md-3" id="sidebar">
    <h2>Links</h2>
<ul class="list-unstyled">
<li>Browse source code at <br><a href="https://github.com/hrbrmstr/epidata">https://​github.com/​hrbrmstr/​epidata</a>
</li>
<li>Report a bug at <br><a href="https://github.com/hrbrmstr/epidata/issues">https://​github.com/​hrbrmstr/​epidata/​issues</a>
</li>
</ul>
<h2>License</h2>
<p>AGPL</p>
<h2>Developers</h2>
<ul class="list-unstyled">
<li>Bob Rudis <br><small class="roles"> Author, maintainer </small> </li>
</ul>
</div>
</div>


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    <h1>A package to Tools to Retrieve Economic Policy Institute Data Library Extracts</h1>
    </div>

    
    <p>The Economic Policy Institute provides researchers, media, and the public with easily
accessible, up-to-date, and comprehensive historical data on the American labor force.
It is compiled from Economic Policy Institute analysis of government data sources. Use
it to research wages, inequality, and other economic indicators over time  and among
demographic groups. Data is usually updated monthly.</p>
    

        

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Bob Rudis (bob@rud.is)

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A docs/reference/get_black_white_wage_gap.html => docs/reference/get_black_white_wage_gap.html +156 -0
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    <h1>Retreive the percent by which hourly wages of black workers are less than hourly wages of white workers</h1>
    </div>

    
    <p>The black-white wage gap is the percent by which hourly wages of black workers are less
than hourly wages of white workers. It is also often expressed as a wage ratio (black
workers&#39; share of white workers&#39; wages) by subtracting the gap from 100 percent.</p>
    

    <pre><span class='fu'>get_black_white_wage_gap</span>(<span class='kw'>by</span> <span class='kw'>=</span> <span class='kw'>NULL</span>)</pre>
    
    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a> Arguments</h2>
    <dl class="dl-horizontal">
      <dt>by</dt>
      <dd><code>NULL</code> or <code>g</code> for a parition by gender</dd>
    </dl>
    
    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>

    <p><code>tbl_df</code> with data filtered by the selected criteria.</p>
    
    <h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>

    <p><ul>
<li>A median black-white wage gap of 26.2 percent means that a typical black worker
      is paid 26.2 percent less per hour than a typical white worker.
</li>
<li>An average black-white wage gap of 26.6 percent means that on average black
      workers are paid 26.6 percent less per hour than white workers.
</li>
<li>A regression-based black-white wage gap of 15.2 percent means that on average
      black workers are paid 15.2 percent less per hour than white workers, all else
      held equal (controlling for gender, race and ethnicity, education, experience,
      and geographic location).
</li>
</ul></p>
    
    <h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>

    <p><a href = 'Economic Policy Institute Data Library'>http://www.epi.org/data/</a></p>
    

    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
    <pre class="examples"><div class='input'><span class='co'>## Not run: ------------------------------------</span>
<span class='co'># get_black_white_wage_gap()</span>
<span class='co'># </span>
<span class='co'># get_black_white_wage_gap("g")</span>
<span class='co'>## ---------------------------------------------</span></div></pre>
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      <li><a href="#value">Value</a></li>

      <li><a href="#details">Details</a></li>

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    <h1>Retreive the percent by which hourly wages of college graduates exceed those of otherwise
</h1>
    </div>

    
    <p>A regression-based college wage premium of 56.1 percent means that on average workers
with a college degree are paid 56.1 percent more per hour than workers whose highest
education credential is a high school diploma, all else held equal (controlling for
gender, race and ethnicity, education, experience, and geographic location).</p>
    

    <pre><span class='fu'>get_college_wage_premium</span>(<span class='kw'>by</span> <span class='kw'>=</span> <span class='kw'>NULL</span>)</pre>
    
    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a> Arguments</h2>
    <dl class="dl-horizontal">
      <dt>by</dt>
      <dd><code>NULL</code> or <code>g</code> for a parition by gender</dd>
    </dl>
    
    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>

    <p><code>tbl_df</code> with data filtered by the selected criteria.</p>
    
    <h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>

    <p><a href = 'Economic Policy Institute Data Library'>http://www.epi.org/data/</a></p>
    

    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
    <pre class="examples"><div class='input'><span class='co'>## Not run: ------------------------------------</span>
<span class='co'># get_college_wage_premium()</span>
<span class='co'># </span>
<span class='co'># get_college_wage_premium("g")</span>
<span class='co'>## ---------------------------------------------</span></div></pre>
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A docs/reference/get_employment_to_population_ratio.html => docs/reference/get_employment_to_population_ratio.html +140 -0
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    <h1>Retreive the share of the civilian noninstitutional population that is employed</h1>
    </div>

    
    <p>Retreive the share of the civilian noninstitutional population that is employed</p>
    

    <pre><span class='fu'>get_employment_to_population_ratio</span>(<span class='kw'>by</span> <span class='kw'>=</span> <span class='kw'>NULL</span>)</pre>
    
    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a> Arguments</h2>
    <dl class="dl-horizontal">
      <dt>by</dt>
      <dd><code>NULL</code> or character string with any combination of <code>g</code> (Gender),
<code>r</code> (Race), <code>a</code> (Age), <code>e</code> (Education). i.e. if you want to retrieve
unemployment data by gender, race and education, you would set this parameter to &quot;<code>gre</code>&quot;.</dd>
    </dl>
    
    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>

    <p><code>tbl_df</code> with data filtered by the selected criteria.</p>
    
    <h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>

    <p><a href = 'Economic Policy Institute Data Library'>http://www.epi.org/data/</a></p>
    

    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
    <pre class="examples"><div class='input'><span class='co'>## Not run: ------------------------------------</span>
<span class='co'># get_employment_to_population_ratio()</span>
<span class='co'># </span>
<span class='co'># get_employment_to_population_ratio("r")</span>
<span class='co'># </span>
<span class='co'># get_employment_to_population_ratio("grae")</span>
<span class='co'>## ---------------------------------------------</span></div></pre>
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A docs/reference/get_gender_wage_gap.html => docs/reference/get_gender_wage_gap.html +155 -0
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    <h1>Retreive the percent by which hourly wages of female workers are less than hourly wages of male workers</h1>
    </div>

    
    <p>The gender wage gap is the percent by which hourly wages of female workers are less than
hourly wages of male workers. It is also often expressed as a wage ratio (women&#39;s
share of men&#39;s wages) by subtracting the gap from 100 percent.</p>
    

    <pre><span class='fu'>get_gender_wage_gap</span>(<span class='kw'>by</span> <span class='kw'>=</span> <span class='kw'>NULL</span>)</pre>
    
    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a> Arguments</h2>
    <dl class="dl-horizontal">
      <dt>by</dt>
      <dd><code>NULL</code> or <code>r</code> for a parition by race</dd>
    </dl>
    
    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>

    <p><code>tbl_df</code> with data filtered by the selected criteria.</p>
    
    <h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>

    <p><ul>
<li>A median gender wage gap of 17.3 percent means that a typical woman is paid 17.3
      percent less per hour than a typical man.
</li>
<li>An average gender wage gap of 19.7 percent means that on average women are paid
      19.7 percent less per hour than men.
</li>
<li>A regression-based gender wage gap of 21.7 percent means that on average women
      are paid 21.7 percent less per hour than men, all else held equal (controlling for
      gender, race and ethnicity, education, experience, and geographic location).
</li>
</ul></p>
    
    <h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>

    <p><a href = 'Economic Policy Institute Data Library'>http://www.epi.org/data/</a></p>
    

    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
    <pre class="examples"><div class='input'><span class='co'>## Not run: ------------------------------------</span>
<span class='co'># get_gender_wage_gap()</span>
<span class='co'># </span>
<span class='co'># get_gender_wage_gap("r")</span>
<span class='co'>## ---------------------------------------------</span></div></pre>
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      <li><a href="#arguments">Arguments</a></li>
      
      <li><a href="#value">Value</a></li>

      <li><a href="#details">Details</a></li>

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A docs/reference/get_hispanic_white_wage_gap.html => docs/reference/get_hispanic_white_wage_gap.html +156 -0
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    <h1>Retreive the percent by which hourly wages of Hispanic workers are less than hourly wages of white workers</h1>
    </div>

    
    <p>The Hispanic-white wage gap is the percent by which hourly wages of Hispanic workers
are less than hourly wages of white workers. It is also often expressed as a wage ratio
(Hispanic workers&#39; share of white workers&#39; wages) by subtracting the gap from 100 percent.</p>
    

    <pre><span class='fu'>get_hispanic_white_wage_gap</span>(<span class='kw'>by</span> <span class='kw'>=</span> <span class='kw'>NULL</span>)</pre>
    
    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a> Arguments</h2>
    <dl class="dl-horizontal">
      <dt>by</dt>
      <dd><code>NULL</code> or <code>g</code> for a parition by gender</dd>
    </dl>
    
    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>

    <p><code>tbl_df</code> with data filtered by the selected criteria.</p>
    
    <h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>

    <p><ul>
<li>A median Hispanic-white wage gap of 29.6 percent means that a typical Hispanic
      worker is paid 29.6 percent less per hour than a typical white worker.
</li>
<li>An average Hispanic-white wage gap of 30.1 percent means that on average Hispanic
      workers are paid 30.1 percent less per hour than white workers.
</li>
<li>A regression-based Hispanic-white wage gap of 11.1 percent means that on average
      Hispanic workers are paid 11.1 percent less per hour than white workers, all
      else held equal (controlling for gender, race and ethnicity, education,
      experience, and geographic location).
</li>
</ul></p>
    
    <h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>

    <p><a href = 'Economic Policy Institute Data Library'>http://www.epi.org/data/</a></p>
    

    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
    <pre class="examples"><div class='input'><span class='co'>## Not run: ------------------------------------</span>
<span class='co'># get_hispanic_white_wage_gap()</span>
<span class='co'># </span>
<span class='co'># get_hispanic_white_wage_gap("g")</span>
<span class='co'>## ---------------------------------------------</span></div></pre>
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A docs/reference/get_labor_force_participation_rate.html => docs/reference/get_labor_force_participation_rate.html +140 -0
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    <h1>Retreive the share of the civilian noninstitutional population that is in the labor force</h1>
    </div>

    
    <p>(i.e., working or looking for work)</p>
    

    <pre><span class='fu'>get_labor_force_participation_rate</span>(<span class='kw'>by</span> <span class='kw'>=</span> <span class='kw'>NULL</span>)</pre>
    
    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a> Arguments</h2>
    <dl class="dl-horizontal">
      <dt>by</dt>
      <dd><code>NULL</code> or character string with any combination of <code>g</code> (Gender),
<code>r</code> (Race), <code>a</code> (Age), <code>e</code> (Education). i.e. if you want to retrieve
unemployment data by gender, race and education, you would set this parameter to &quot;<code>gre</code>&quot;.</dd>
    </dl>
    
    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>

    <p><code>tbl_df</code> with data filtered by the selected criteria.</p>
    
    <h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>

    <p><a href = 'Economic Policy Institute Data Library'>http://www.epi.org/data/</a></p>
    

    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
    <pre class="examples"><div class='input'><span class='co'>## Not run: ------------------------------------</span>
<span class='co'># get_labor_force_participation_rate()</span>
<span class='co'># </span>
<span class='co'># get_labor_force_participation_rate("r")</span>
<span class='co'># </span>
<span class='co'># get_labor_force_participation_rate("grae")</span>
<span class='co'>## ---------------------------------------------</span></div></pre>
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A docs/reference/get_long_term_unemployment.html => docs/reference/get_long_term_unemployment.html +140 -0
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    <h1>Retreive  the share of the labor force that has been unemployed for six months or longer</h1>
    </div>

    
    <p>Retreive  the share of the labor force that has been unemployed for six months or longer</p>
    

    <pre><span class='fu'>get_long_term_unemployment</span>(<span class='kw'>by</span> <span class='kw'>=</span> <span class='kw'>NULL</span>)</pre>
    
    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a> Arguments</h2>
    <dl class="dl-horizontal">
      <dt>by</dt>
      <dd><code>NULL</code> or character string with any combination of <code>g</code> (Gender),
<code>r</code> (Race), <code>a</code> (Age), <code>e</code> (Education). i.e. if you want to retrieve
unemployment data by gender, race and education, you would set this parameter to &quot;<code>gre</code>&quot;.</dd>
    </dl>
    
    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>

    <p><code>tbl_df</code> with data filtered by the selected criteria.</p>
    
    <h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>

    <p><a href = 'Economic Policy Institute Data Library'>http://www.epi.org/data/</a></p>
    

    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
    <pre class="examples"><div class='input'><span class='co'>## Not run: ------------------------------------</span>
<span class='co'># get_long_term_unemployment()</span>
<span class='co'># </span>
<span class='co'># get_long_term_unemployment("r")</span>
<span class='co'># </span>
<span class='co'># get_long_term_unemployment("grae")</span>
<span class='co'>## ---------------------------------------------</span></div></pre>
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A docs/reference/get_median_and_mean_wages.html => docs/reference/get_median_and_mean_wages.html +143 -0
@@ 0,0 1,143 @@
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    <h1>Retreive the hourly wage in the middle of the wage distribution</h1>
    </div>

    
    <p>The median wage is the hourly wage in the middle of the wage distribution;
50 percent of wage earners earn less and 50 percent earn more. The average wage is
the arithmetic mean of hourly wages; or, the sum of all workers&#39; hourly wages divided
by the number of workers.</p>
    

    <pre><span class='fu'>get_median_and_mean_wages</span>(<span class='kw'>by</span> <span class='kw'>=</span> <span class='kw'>NULL</span>)</pre>
    
    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a> Arguments</h2>
    <dl class="dl-horizontal">
      <dt>by</dt>
      <dd><code>NULL</code> or character string with any combination of <code>g</code> (Gender) or
<code>r</code> (Race), i.e. if you want to retrieve
unemployment data by gender and race, you would set this parameter to &quot;<code>gr</code>&quot;.</dd>
    </dl>
    
    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>

    <p><code>tbl_df</code> with data filtered by the selected criteria.</p>
    
    <h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>

    <p><a href = 'Economic Policy Institute Data Library'>http://www.epi.org/data/</a></p>
    

    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
    <pre class="examples"><div class='input'><span class='co'>## Not run: ------------------------------------</span>
<span class='co'># get_median_and_mean_wages()</span>
<span class='co'># </span>
<span class='co'># get_median_and_mean_wages("r")</span>
<span class='co'># </span>
<span class='co'># get_median_and_mean_wages("gr")</span>
<span class='co'>## ---------------------------------------------</span></div></pre>
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A docs/reference/get_non_high_school_wage_penalty.html => docs/reference/get_non_high_school_wage_penalty.html +141 -0
@@ 0,0 1,141 @@
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    <h1>Retreive the percent by which hourly wages of workers without a high school diploma
</h1>
    </div>

    
    <p>A regression-based non-high school wage penalty of 21.8 percent means that on average
workers without a high school diploma are paid 21.8 percent less per hour than workers
with a high school diploma, all else held equal (controlling for gender, race and
ethnicity, education, experience, and geographic location).</p>
    

    <pre><span class='fu'>get_non_high_school_wage_penalty</span>(<span class='kw'>by</span> <span class='kw'>=</span> <span class='kw'>NULL</span>)</pre>
    
    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a> Arguments</h2>
    <dl class="dl-horizontal">
      <dt>by</dt>
      <dd><code>NULL</code> or <code>g</code> for a parition by gender</dd>
    </dl>
    
    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>

    <p><code>tbl_df</code> with data filtered by the selected criteria.</p>
    
    <h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>

    <p><a href = 'Economic Policy Institute Data Library'>http://www.epi.org/data/</a></p>
    

    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
    <pre class="examples"><div class='input'><span class='co'>## Not run: ------------------------------------</span>
<span class='co'># get_non_high_school_wage_penalty()</span>
<span class='co'># </span>
<span class='co'># get_non_high_school_wage_penalty("g")</span>
<span class='co'>## ---------------------------------------------</span></div></pre>
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A docs/reference/get_underemployment.html => docs/reference/get_underemployment.html +144 -0
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    <h1>Retreive the share of the labor force that is &quot;underemployed&quot;</h1>
    </div>

    
    <p>Underemployment is the share of the labor force that either 1) is unemployed, 2) is
working part time but wants and is available to work full time (an &quot;involuntary&quot; part
timer), or 3) wants and is available to work and has looked for work in the last year
but has given up actively seeking work in the last four weeks (&quot;marginally attached&quot;
worker).</p>
    

    <pre><span class='fu'>get_underemployment</span>(<span class='kw'>by</span> <span class='kw'>=</span> <span class='kw'>NULL</span>)</pre>
    
    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a> Arguments</h2>
    <dl class="dl-horizontal">
      <dt>by</dt>
      <dd><code>NULL</code> or character string with any combination of <code>g</code> (Gender),
<code>r</code> (Race), <code>a</code> (Age), <code>e</code> (Education). i.e. if you want to retrieve
unemployment data by gender, race and education, you would set this parameter to &quot;<code>gre</code>&quot;.</dd>
    </dl>
    
    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>

    <p><code>tbl_df</code> with data filtered by the selected criteria.</p>
    
    <h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>

    <p><a href = 'Economic Policy Institute Data Library'>http://www.epi.org/data/</a></p>
    

    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
    <pre class="examples"><div class='input'><span class='co'>## Not run: ------------------------------------</span>
<span class='co'># get_underemployment()</span>
<span class='co'># </span>
<span class='co'># get_underemployment("r")</span>
<span class='co'># </span>
<span class='co'># get_underemployment("grae")</span>
<span class='co'>## ---------------------------------------------</span></div></pre>
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A docs/reference/get_unemployment.html => docs/reference/get_unemployment.html +146 -0
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    <h1>Retreive the share of the labor force without a job</h1>
    </div>

    
    <p>Retreive the share of the labor force without a job</p>
    

    <pre><span class='fu'>get_unemployment</span>(<span class='kw'>by</span> <span class='kw'>=</span> <span class='kw'>NULL</span>)</pre>
    
    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a> Arguments</h2>
    <dl class="dl-horizontal">
      <dt>by</dt>
      <dd><code>NULL</code> or character string with any combination of <code>g</code> (Gender),
<code>r</code> (Race), <code>a</code> (Age), <code>e</code> (Education).  i.e. if you want to retrieve
unemployment data by gender, race and education, you would set this parameter to &quot;<code>gre</code>&quot;.</dd>
    </dl>
    
    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>

    <p><code>tbl_df</code> with data filtered by the selected criteria.</p>
    
    <h2 class="hasAnchor" id="note"><a class="anchor" href="#note"></a>Note</h2>

    <p>See <code>get_unemployment_by_state()</code> for information on retrieving unemployment by state+race.</p>
    
    <h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>

    <p><a href = 'Economic Policy Institute Data Library'>http://www.epi.org/data/</a></p>
    

    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
    <pre class="examples"><div class='input'><span class='co'>## Not run: ------------------------------------</span>
<span class='co'># get_unemployment()</span>
<span class='co'># </span>
<span class='co'># get_unemployment("r")</span>
<span class='co'># </span>
<span class='co'># get_unemployment("grae")</span>
<span class='co'>## ---------------------------------------------</span></div></pre>
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A docs/reference/get_unemployment_by_state.html => docs/reference/get_unemployment_by_state.html +142 -0
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    <h1>Retreive the share of the labor force without a job (by state)</h1>
    </div>

    
    <p>Retreive the share of the labor force without a job (by state)</p>
    

    <pre><span class='fu'>get_unemployment_by_state</span>(<span class='kw'>by</span> <span class='kw'>=</span> <span class='kw'>NULL</span>)</pre>
    
    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a> Arguments</h2>
    <dl class="dl-horizontal">
      <dt>by</dt>
      <dd><code>NULL</code> or <code>r</code> for a partition by race.</dd>
    </dl>
    
    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>

    <p><code>tbl_df</code> with data filtered by the selected criteria.</p>
    
    <h2 class="hasAnchor" id="note"><a class="anchor" href="#note"></a>Note</h2>

    <p>See <code>get_unemployment()</code> for other unemployment extracts..</p>
    
    <h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>

    <p><a href = 'Economic Policy Institute Data Library'>http://www.epi.org/data/</a></p>
    

    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
    <pre class="examples"><div class='input'><span class='co'>## Not run: ------------------------------------</span>
<span class='co'># get_unemployment_by_state()</span>
<span class='co'># </span>
<span class='co'># get_unemployment_by_state("r")</span>
<span class='co'>## ---------------------------------------------</span></div></pre>
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A docs/reference/get_wage_ratios.html => docs/reference/get_wage_ratios.html +155 -0
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    <h1>Retreive the level of inequality within the hourly wage distribution.</h1>
    </div>

    
    <p>The 95–50 and 50–10 wage ratios are representations of the level of inequality within
the hourly wage distribution. The larger the ratio, the greater the gap between the
top and the middle or the middle and the bottom of the wage distribution.</p>
    

    <pre><span class='fu'>get_wage_ratios</span>(<span class='kw'>by</span> <span class='kw'>=</span> <span class='kw'>NULL</span>)</pre>
    
    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a> Arguments</h2>
    <dl class="dl-horizontal">
      <dt>by</dt>
      <dd><code>NULL</code> or character string with any combination of <code>g</code> (Gender) or
<code>r</code> (Race), i.e. if you want to retrieve
unemployment data by gender and race, you would set this parameter to &quot;<code>gr</code>&quot;.</dd>
    </dl>
    
    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>

    <p><code>tbl_df</code> with data filtered by the selected criteria.</p>
    
    <h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>

    <p><ul>
<li>A 50–10 wage ratio of 1.91 means that workers at the 50th percentile of the wage
      distribution are paid 1.91 times more per hour than the workers at the 10th percentile.
</li>
<li>A 95–50 wage ratio of 3.28 means that workers at the 95th percentile of the wage
      distribution are paid 3.28 times more per hour than the workers at the 50th percentile.
</li>
</ul></p>
    
    <h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>

    <p><a href = 'Economic Policy Institute Data Library'>http://www.epi.org/data/</a></p>
    

    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
    <pre class="examples"><div class='input'><span class='co'>## Not run: ------------------------------------</span>
<span class='co'># get_wage_ratios()</span>
<span class='co'># </span>
<span class='co'># get_wage_ratios("r")</span>
<span class='co'># </span>
<span class='co'># get_wage_ratios("gr")</span>
<span class='co'>## ---------------------------------------------</span></div></pre>
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A docs/reference/get_wages_by_education.html => docs/reference/get_wages_by_education.html +143 -0
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    <h1>Retreive the average hourly wages of workers disaggregated by the highest level of education attained</h1>
    </div>

    
    <p>Wages by education are the average hourly wages of workers disaggregated by the highest
level of education attained. Employment shares provide the distribution of educational
attainment for workers of each gender, racial, and ethnic group as a share of total
employed for each group.</p>
    

    <pre><span class='fu'>get_wages_by_education</span>(<span class='kw'>by</span> <span class='kw'>=</span> <span class='kw'>NULL</span>)</pre>
    
    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a> Arguments</h2>
    <dl class="dl-horizontal">
      <dt>by</dt>
      <dd><code>NULL</code> or character string with any combination of <code>g</code> (Gender) or
<code>r</code> (Race), i.e. if you want to retrieve
unemployment data by gender and race, you would set this parameter to &quot;<code>gr</code>&quot;.</dd>
    </dl>
    
    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>

    <p><code>tbl_df</code> with data filtered by the selected criteria.</p>
    
    <h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>

    <p><a href = 'Economic Policy Institute Data Library'>http://www.epi.org/data/</a></p>
    

    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
    <pre class="examples"><div class='input'><span class='co'>## Not run: ------------------------------------</span>
<span class='co'># get_wages_by_education()</span>
<span class='co'># </span>
<span class='co'># get_wages_by_education("r")</span>
<span class='co'># </span>
<span class='co'># get_wages_by_education("gr")</span>
<span class='co'>## ---------------------------------------------</span></div></pre>
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A docs/reference/get_wages_by_percentile.html => docs/reference/get_wages_by_percentile.html +142 -0
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    <h1>Retreive wages at ten distinct points in the wage distribution</h1>
    </div>

    
    <p>Wage percentiles are wages at ten distinct points in the wage distribution: deciles
and the 95th percentile. The 95–50 and 50–10 wage ratios show how much greater wages
are at the top than the middle, and at the middle than the bottom, respectively.</p>
    

    <pre><span class='fu'>get_wages_by_percentile</span>(<span class='kw'>by</span> <span class='kw'>=</span> <span class='kw'>NULL</span>)</pre>
    
    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a> Arguments</h2>
    <dl class="dl-horizontal">
      <dt>by</dt>
      <dd><code>NULL</code> or character string with any combination of <code>g</code> (Gender) or
<code>r</code> (Race), i.e. if you want to retrieve
unemployment data by gender and race, you would set this parameter to &quot;<code>gr</code>&quot;.</dd>
    </dl>
    
    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>

    <p><code>tbl_df</code> with data filtered by the selected criteria.</p>
    
    <h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>

    <p><a href = 'Economic Policy Institute Data Library'>http://www.epi.org/data/</a></p>
    

    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
    <pre class="examples"><div class='input'><span class='co'>## Not run: ------------------------------------</span>
<span class='co'># get_wages_by_percentile()</span>
<span class='co'># </span>
<span class='co'># get_wages_by_percentile("r")</span>
<span class='co'># </span>
<span class='co'># get_wages_by_percentile("gr")</span>
<span class='co'>## ---------------------------------------------</span></div></pre>
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      <h1>Function reference</h1>
      <h4>version&nbsp;0.1.0</h4>
    </div>

    <div class="contents">
      <h2 id="section-all-functions" class="hasAnchor"><a href="#section-all-functions" class="anchor"></a>All functions</h2>
      <p class="section-desc"></p>

      
      <p><a href="epidata.html">A package to Tools to Retrieve Economic Policy Institute Data Library Extracts</a></p>
      <ul>
        <li><code><a href="epidata.html">epidata</a></code></li><li><code><a href="epidata.html">epidata-package</a></code></li>
      </ul>
      
      <p><a href="get_black_white_wage_gap.html">Retreive the percent by which hourly wages of black workers are less than hourly wages of white workers</a></p>
      <ul>
        <li><code><a href="get_black_white_wage_gap.html">get_black_white_wage_gap</a></code></li>
      </ul>
      
      <p><a href="get_college_wage_premium.html">Retreive the percent by which hourly wages of college graduates exceed those of otherwise
</a></p>
      <ul>
        <li><code><a href="get_college_wage_premium.html">get_college_wage_premium</a></code></li>
      </ul>
      
      <p><a href="get_employment_to_population_ratio.html">Retreive the share of the civilian noninstitutional population that is employed</a></p>
      <ul>
        <li><code><a href="get_employment_to_population_ratio.html">get_employment_to_population_ratio</a></code></li>
      </ul>
      
      <p><a href="get_gender_wage_gap.html">Retreive the percent by which hourly wages of female workers are less than hourly wages of male workers</a></p>
      <ul>
        <li><code><a href="get_gender_wage_gap.html">get_gender_wage_gap</a></code></li>
      </ul>
      
      <p><a href="get_hispanic_white_wage_gap.html">Retreive the percent by which hourly wages of Hispanic workers are less than hourly wages of white workers</a></p>
      <ul>
        <li><code><a href="get_hispanic_white_wage_gap.html">get_hispanic_white_wage_gap</a></code></li>
      </ul>
      
      <p><a href="get_labor_force_participation_rate.html">Retreive the share of the civilian noninstitutional population that is in the labor force</a></p>
      <ul>
        <li><code><a href="get_labor_force_participation_rate.html">get_labor_force_participation_rate</a></code></li>
      </ul>
      
      <p><a href="get_long_term_unemployment.html">Retreive  the share of the labor force that has been unemployed for six months or longer</a></p>
      <ul>
        <li><code><a href="get_long_term_unemployment.html">get_long_term_unemployment</a></code></li>
      </ul>
      
      <p><a href="get_median_and_mean_wages.html">Retreive the hourly wage in the middle of the wage distribution</a></p>
      <ul>
        <li><code><a href="get_median_and_mean_wages.html">get_median_and_mean_wages</a></code></li>
      </ul>
      
      <p><a href="get_non_high_school_wage_penalty.html">Retreive the percent by which hourly wages of workers without a high school diploma
</a></p>
      <ul>
        <li><code><a href="get_non_high_school_wage_penalty.html">get_non_high_school_wage_penalty</a></code></li>
      </ul>
      
      <p><a href="get_underemployment.html">Retreive the share of the labor force that is &quot;underemployed&quot;</a></p>
      <ul>
        <li><code><a href="get_underemployment.html">get_underemployment</a></code></li>
      </ul>
      
      <p><a href="get_unemployment_by_state.html">Retreive the share of the labor force without a job (by state)</a></p>
      <ul>
        <li><code><a href="get_unemployment_by_state.html">get_unemployment_by_state</a></code></li>
      </ul>
      
      <p><a href="get_unemployment.html">Retreive the share of the labor force without a job</a></p>
      <ul>
        <li><code><a href="get_unemployment.html">get_unemployment</a></code></li>
      </ul>
      
      <p><a href="get_wage_ratios.html">Retreive the level of inequality within the hourly wage distribution.</a></p>
      <ul>
        <li><code><a href="get_wage_ratios.html">get_wage_ratios</a></code></li>
      </ul>
      
      <p><a href="get_wages_by_education.html">Retreive the average hourly wages of workers disaggregated by the highest level of education attained</a></p>
      <ul>
        <li><code><a href="get_wages_by_education.html">get_wages_by_education</a></code></li>
      </ul>
      
      <p><a href="get_wages_by_percentile.html">Retreive wages at ten distinct points in the wage distribution</a></p>
      <ul>
        <li><code><a href="get_wages_by_percentile.html">get_wages_by_percentile</a></code></li>
      </ul>
    
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