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ECON-6280: Econometric Methods-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 “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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Econometric Methods-big Data
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ECON-6280
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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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Cross-listed with:
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< a class = "course-pill" href = "ECON-4280" > ECON-4280 Econometric Methods-big Data< / a >
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Prereqs:
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none
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Past Term Data
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Offered
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Not Offered
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Offered as Cross-Listing Only
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No Term Data
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Simple View
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Detailed View
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< th > < / th >
< 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 colspan = "2" > < / th >
< th class = "summer2 midsum-label" > (Session 1)< / th >
< th class = "summer3 midsum-label" > (Session 2)< / th >
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< th class = "year" > 2024< / th >
< td class = "term spring offered" >
< div class = "view-container detail-view-container" >
< span class = "term-course-info" >
< a href = "https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=202401&subj_in=ECON&crse_in=6280&schd_in=" > Econometric Methods-big Data (3c)< / a >
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< ul class = "prof-list" >
< li > Huaming Peng< / li >
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< span class = "course-capacity" >
Seats Taken: 0/5
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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" >
< a href = "https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=202409&subj_in=ECON&crse_in=6280&schd_in=" > Econometric Methods-big Data (3c)< / a >
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< ul class = "prof-list" >
< li > Huaming Peng< / li >
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< span class = "course-capacity" >
2024-04-01 16:29:47 +00:00
Seats Taken: 2/5
2024-03-02 06:45:21 +00:00
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< th class = "year" > 2023< / th >
< td class = "term spring offered" >
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< span class = "term-course-info" >
< a href = "https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=202301&subj_in=ECON&crse_in=6280&schd_in=" > Econometric Methods-big Data (3c)< / a >
< / span >
< ul class = "prof-list" >
< li > Huaming Peng< / li >
< / ul >
< span class = "course-capacity" >
Seats Taken: 0/5
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall offered-diff-code" >
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< th class = "year" > 2022< / th >
< td class = "term spring offered" >
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< a href = "https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=202201&subj_in=ECON&crse_in=6280&schd_in=" > Econometric Methods-big Data (3c)< / a >
< / span >
< ul class = "prof-list" >
< li > Jason Ung Huh< / li >
< / ul >
< span class = "course-capacity" >
Seats Taken: 0/19
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< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall offered" >
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< span class = "term-course-info" >
< a href = "https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=202209&subj_in=ECON&crse_in=6280&schd_in=" > Econometric Methods-big Data (3c)< / a >
< / 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" >
< a href = "https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=202101&subj_in=ECON&crse_in=6280&schd_in=" > Econometric Methods-big Data (3c)< / a >
< / span >
< ul class = "prof-list" >
< li > Jason Ung Huh< / li >
< / ul >
< span class = "course-capacity" >
Seats Taken: 1/10
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< / div >
< / 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" >
< a href = "https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=202109&subj_in=ECON&crse_in=6280&schd_in=" > Econometric Methods-big Data (3c)< / a >
< / 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 >
< td class = "term spring not-offered" >
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< 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" >
< a href = "https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=202009&subj_in=ECON&crse_in=6280&schd_in=" > Econometric Methods-big Data (3c)< / a >
< / span >
< ul class = "prof-list" >
< li > Huaming Peng< / li >
< / ul >
< span class = "course-capacity" >
Seats Taken: 0/9
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< / td >
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< tr >
< th class = "year" > 2019< / th >
< td class = "term spring not-offered" >
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< 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" >
< a href = "https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=201909&subj_in=ECON&crse_in=6280&schd_in=" > Econometric Methods-big Data (3c)< / a >
< / span >
< ul class = "prof-list" >
< li > Huaming Peng< / li >
< / ul >
< span class = "course-capacity" >
Seats Taken: 5/9
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< th class = "year" > 2018< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2017< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2016< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2015< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2014< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2013< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2012< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2011< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< / tr >
< tr >
< th class = "year" > 2010< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
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< / tr >
< tr >
< th class = "year" > 2009< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< tr >
< th class = "year" > 2008< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< tr >
< th class = "year" > 2007< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2006< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2005< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
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< / tr >
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< th class = "year" > 2004< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2003< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
< / td >
< / tr >
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< th class = "year" > 2002< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2001< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2000< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 1999< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 1998< / th >
< td class = "term spring unscheduled" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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