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diff --git a/_modules/iot/inverse_optimal_tax.html b/_modules/iot/inverse_optimal_tax.html
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diff --git a/content/api/inverse_optimal_tax.html b/content/api/inverse_optimal_tax.html
@@ -3,7 +3,7 @@
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@@ -338,6 +339,7 @@
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@@ -348,6 +350,7 @@
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@@ -397,7 +400,7 @@ <h2> Contents </h2>
 <h2>iot.inverse_optimal_tax<a class="headerlink" href="#iot-inverse-optimal-tax" title="Permalink to this heading">#</a></h2>
 <dl class="py class">
 <dt class="sig sig-object py" id="iot.inverse_optimal_tax.IOT">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">iot.inverse_optimal_tax.</span></span><span class="sig-name descname"><span class="pre">IOT</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">income_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'e00200'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weight_var</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'s006'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inc_elast</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.25</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bandwidth</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lower_bound</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">upper_bound</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">500000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dist_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'log_normal'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">kde_bw</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mtr_smoother</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'kreg'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mtr_smooth_param</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">3</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/iot/inverse_optimal_tax.html#IOT"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#iot.inverse_optimal_tax.IOT" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">iot.inverse_optimal_tax.</span></span><span class="sig-name descname"><span class="pre">IOT</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">income_measure</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'e00200'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weight_var</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'s006'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eti</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.25</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bandwidth</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lower_bound</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">upper_bound</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">500000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dist_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'log_normal'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">kde_bw</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mtr_smoother</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'kreg'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mtr_smooth_param</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">3</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/iot/inverse_optimal_tax.html#IOT"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#iot.inverse_optimal_tax.IOT" title="Permalink to this definition">#</a></dt>
 <dd><p>Constructor for the IOT class.</p>
 <p>This IOT class can be used to compute the social welfare weights
 across the income distribution given data, tax policy parameters,
@@ -410,7 +413,7 @@ <h2>iot.inverse_optimal_tax<a class="headerlink" href="#iot-inverse-optimal-tax"
 weight_var, mtr</p></li>
 <li><p><strong>income_measure</strong> (<em>str</em>) – name of income measure from data to use</p></li>
 <li><p><strong>weight_var</strong> (<em>str</em>) – name of weight measure from data to use</p></li>
-<li><p><strong>inc_elast</strong> (<em>scalar</em>) – compensated elasticity of taxable income
+<li><p><strong>eti</strong> (<em>scalar</em>) – compensated elasticity of taxable income
 w.r.t. the marginal tax rate</p></li>
 <li><p><strong>bandwidth</strong> (<em>scalar</em>) – size of income bins in units of income</p></li>
 <li><p><strong>lower_bound</strong> (<em>scalar</em>) – minimum income to consider</p></li>
@@ -530,7 +533,8 @@ <h2>iot.inverse_optimal_tax<a class="headerlink" href="#iot-inverse-optimal-tax"
 <dt class="sig sig-object py" id="iot.inverse_optimal_tax.IOT.sw_weights">
 <span class="sig-name descname"><span class="pre">sw_weights</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/iot/inverse_optimal_tax.html#IOT.sw_weights"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#iot.inverse_optimal_tax.IOT.sw_weights" title="Permalink to this definition">#</a></dt>
 <dd><p>Returns the social welfare weights for a given tax policy.</p>
-<p>See Jacobs, Jongen, and Zoutman (2017)</p>
+<p>See Jacobs, Jongen, and Zoutman (2017) and
+Lockwood and Weinzierl (2016) for details.</p>
 <div class="math notranslate nohighlight">
 \[g_{z} = 1 + \theta_z \varepsilon^{c}\frac{T'(z)}{(1-T'(z))} +
 \varepsilon^{c}\frac{zT''(z)}{(1-T''(z))^{2}}\]</div>
@@ -581,7 +585,7 @@ <h2>iot.inverse_optimal_tax<a class="headerlink" href="#iot-inverse-optimal-tax"
 
 
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@@ -638,6 +642,7 @@ <h2>iot.inverse_optimal_tax<a class="headerlink" href="#iot-inverse-optimal-tax"
 
   <div class="footer-item">
 
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@@ -664,8 +669,8 @@ <h2>iot.inverse_optimal_tax<a class="headerlink" href="#iot-inverse-optimal-tax"
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