This course is in the statistics sequence for political science and public policy offered in the Political Science Department. 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 and the notion of causality is the effect of one variable on another holding all else constant.
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
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Course Credit: MIT
|L 1 Introduction||00:25:00|
|L 2 Matrix Algebra||01:30:00|
|L 3 Regression Model||03:30:00|
|L 4 Nonlinear Models||01:30:00|
|L 5 Sensitivity and Weights||00:25:00|
|L 6 Panel Models||00:30:00|
|L 7 Systems of Equations||00:55:00|
|Submit Your Assignment||00:00:00|
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