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dc.contributor.authorAnsolabehere, Stephen
dc.coverage.temporalSpring 2004
dc.date.accessioned2023-10-16T21:36:11Z
dc.date.available2023-10-16T21:36:11Z
dc.date.issued2004-06
dc.identifier17.874-Spring2004
dc.identifier.other17.874
dc.identifier.otherIMSCP-MD5-9a002aff75f7cda4cb83410ee28c4395
dc.identifier.urihttps://hdl.handle.net/1721.1/152442
dc.description.abstractThis course is the second semester in the statistics sequence for political science and public policy offered in the Political Science Department at MIT. The intellectual thrust of the course is a presentation of statistical models for estimating causal effects of variables. The model of an effect is a conditional mean (though we might imagine other effect). The notion of causality is the effect of one variable on another holding all else constant.en
dc.language.isoen-US
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dc.rightsAttribution-NonCommercial-ShareAlike 3.0 Unported*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/*
dc.subjectQuantitative research designen
dc.subjectEconometricsen
dc.subjectMultivariate statisticsen
dc.subjectPoliticsen
dc.subjectMatrix algebraen
dc.subjectRegressionen
dc.subjectVoting behavioren
dc.subjectPredictionen
dc.subjectQualitative variableen
dc.subjectBootstrappingen
dc.subjectPolitical modelen
dc.subjectCausalityen
dc.subjectConditional meanen
dc.subjectPublic policyen
dc.subjectAnalysisen
dc.title17.874 Quantitative Research Methods: Multivariate, Spring 2004en
dc.title.alternativeQuantitative Research Methods: Multivariateen
dc.audience.educationlevelGraduate
dc.subject.cip270501en
dc.subject.cipStatistics, Generalen
dc.subject.cip451099en
dc.subject.cipPolitical Science and Government, Otheren
dc.date.updated2023-10-16T21:36:18Z


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