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ECON-6280 - Econometric Methods for Big Data
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<meta property="og:description" content="Examine advanced econometric and statistical methods for the analysis of high-dimensional data, otherwise known as &quot;Big Data.&quot; In this setting, detailed information for each unit of observation informs machine learning techniques such as classification and regression trees; rECandom forests; penalized regressions; and boosted estimation. These prediction methods are then utilized to improve causal modeling, with applications in the study of healthcare demand and supply modeling, and behavior of consumers and businesses.">
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Econometric Methods for Big Data
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ECON-6280
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<p>
Examine advanced econometric and statistical methods for the analysis of high-dimensional data, otherwise known as "Big Data." In this setting, detailed information for each unit of observation informs machine learning techniques such as classification and regression trees; rECandom forests; penalized regressions; and boosted estimation. These prediction methods are then utilized to improve causal modeling, with applications in the study of healthcare demand and supply modeling, and behavior of consumers and businesses.
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3 credits
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<th class="spring season-label">Spring</th>
<th class="summer season-label" colspan="2">Summer</th>
<th class="fall season-label">Fall</th>
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<th class="summer2 midsum-label">(Session 1)</th>
<th class="summer3 midsum-label">(Session 2)</th>
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<th class="year">2023</th>
<td class="term spring offered">
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<span class="term-course-info">
Econometric Methods-big Data (3c)
</span>
<ul class="prof-list">
<li>Huaming Peng</li>
</ul>
<span class="course-capacity">
Seats Taken: 0/5
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</td>
<td colspan="2" class="term summer not-offered">
</td>
<td class="term fall offered">
<div class="view-container detail-view-container">
<span class="term-course-info">
Econometric Methods-big Data (3c)
</span>
<ul class="prof-list">
<li>Huaming Peng</li>
</ul>
<span class="course-capacity">
Seats Taken: 0/19
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</div>
</td>
</tr>
<tr>
<th class="year">2022</th>
<td class="term spring offered">
<div class="view-container detail-view-container">
<span class="term-course-info">
Econometric Methods-big Data (3c)
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<ul class="prof-list">
<li>Jason Ung Huh</li>
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<span class="course-capacity">
Seats Taken: 0/19
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<td colspan="2" class="term summer not-offered">
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<td class="term fall offered">
<div class="view-container detail-view-container">
<span class="term-course-info">
Econometric Methods-big Data (3c)
</span>
<ul class="prof-list">
<li>Huaming Peng</li>
</ul>
<span class="course-capacity">
Seats Taken: 4/19
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<th class="year">2021</th>
<td class="term spring offered">
<div class="view-container detail-view-container">
<span class="term-course-info">
Econometric Methods-big Data (3c)
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<ul class="prof-list">
<li>Jason Ung Huh</li>
</ul>
<span class="course-capacity">
Seats Taken: 1/10
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<td colspan="2" class="term summer not-offered">
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<td class="term fall offered">
<div class="view-container detail-view-container">
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Econometric Methods-big Data (3c)
</span>
<ul class="prof-list">
<li>Huaming Peng</li>
</ul>
<span class="course-capacity">
Seats Taken: 2/9
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<th class="year">2020</th>
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<td colspan="2" class="term summer not-offered">
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<td class="term fall offered">
<div class="view-container detail-view-container">
<span class="term-course-info">
Econometric Methods-big Data (3c)
</span>
<ul class="prof-list">
<li>Huaming Peng</li>
</ul>
<span class="course-capacity">
Seats Taken: 0/9
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<th class="year">2019</th>
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<td colspan="2" class="term summer not-offered">
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<td class="term fall offered">
<div class="view-container detail-view-container">
<span class="term-course-info">
Econometric Methods-big Data (3c)
</span>
<ul class="prof-list">
<li>Huaming Peng</li>
</ul>
<span class="course-capacity">
Seats Taken: 5/9
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