17.874 Quantitative Research Methods: Multivariate

Spring 2004

Regression analysis: candidate convergence in congressional elections.
Regression analysis: candidate convergence in congressional elections. Analyzing the relationship between Democratic Presidential Vote share and the ideological gap between competing candidates. There is clear evidence of a non-linear relationship explaining the gap between the candidates. (Image courtesy of Prof. Stephen Ansolabehere.)

Course Highlights

This course includes a complete set of lecture notesproblem sets, and exams.

Course 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.

Technical Requirements

Microsoft® Excel software  is recommended for viewing the .xls files found on this course site. Free Microsoft® Excel viewer software can also be used to view the .xls files. The STATA® statistical package is required to view and run the .dta files found on this course site.

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Staff

Instructor:
Prof. Stephen Ansolabehere

Course Meeting Times

Lectures:
Two sessions / week
1.5 hours / session

Level

Graduate