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MGMT-7830: Doctoral Level Data Analysis
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< meta property = "og:title" content = "MGMT-7830: Doctoral Level Data Analysis" >
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< meta property = "og:description" content = "The objective of this class is to develop skills necessary to understand and assess applications that use panel data techniques. Standard linear regression models are used as a benchmark. Basic knowledge of time series analysis is introduced, followed by panel data settings involving 'fixed' and 'random' effects. Recently developed GMM and instrumental variables methods are introduced and nonlinear panel data with binary outcomes is covered. Students will work through practical examples using Stata and Matlab." >
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Doctoral Level Data Analysis
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MGMT-7830
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The objective of this class is to develop skills necessary to understand and assess applications that use panel data techniques. Standard linear regression models are used as a benchmark. Basic knowledge of time series analysis is introduced, followed by panel data settings involving 'fixed' and 'random' effects. Recently developed GMM and instrumental variables methods are introduced and nonlinear panel data with binary outcomes is covered. Students will work through practical examples using Stata and Matlab.
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3 credits
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Prereqs:
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none
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Past Term Data
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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 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 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" > 2022< / 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" > 2021< / 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" > 2020< / 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" > 2019< / th >
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Data Analysis (3c)
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< li > Nishtha Langer< / li >
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< span class = "course-capacity" >
Seats Taken: 7/15
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< th class = "year" > 2018< / th >
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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 >
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< td class = "term fall offered" >
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Data Analysis (3c)
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< li > Nishtha Langer< / li >
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< span class = "course-capacity" >
Seats Taken: 5/15
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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 >
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< td class = "term fall not-offered" >
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< th class = "year" > 2012< / th >
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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 >
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< td class = "term fall not-offered" >
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< th class = "year" > 2010< / th >
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< td class = "term fall not-offered" >
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< 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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< th class = "year" > 2008< / th >
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< td class = "term fall not-offered" >
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< th class = "year" > 2007< / th >
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