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Quantitative Research Methods: Multivariate, Spring 2004

 
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Type: Course Related Materials
Grade Level: Post-secondary
Author: Ansolabehere, Stephen
Subject: Social Sciences
Institution Name: M.I.T.
Collection Name: MIT OpenCourseWare

Abstract: Focus on multivariate data analysis procedures, emphasizing regression. Considers model specification, autocorrelation, instrumental variables, and causal modelling. Students must have taken at least one previous subject in statistics. Open to qualified undergraduates. Course home page description: This 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.

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Course Type: Full Course
Material Types: Assessments, Homework and Assignments, Lecture Notes, Syllabi
Media Formats: Text/HTML, Downloadable docs
Language: English

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Geographic Regional Relevance: All

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