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Measuring Causal Effects in the Social Sciences

How can we know if the differences in wages between men and women are caused by discrimination or differences in background characteristics? In this PhD-level course we look at causal effects as opposed to spurious relationships. We will discuss how they can be identified in the social sciences using quantitative data, and describe how this can help us understand social mechanisms.
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Rating 3.8 based on 37 ratings
Length 6 weeks
Starts Jul 12 (145 weeks ago)
Cost $49
From University of Copenhagen via Coursera
Instructor Anders Holm
Download Videos On all desktop and mobile devices
Language English
Subjects Social Sciences Data Science Mathematics
Tags Social Sciences Data Science Governance And Society Probability And Statistics

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What people are saying

useful course for

This is an very useful course for me who is studying Health Economics.

This is an useful course for medical researchs even though you can apply to other social science.

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very good

Very good course!

This give a very good insight into what i did not know earlier.

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causal inference

Its simple mathematical proof on estimations methods is useful for practitioners Good course that takes participants from linear regression to RCT and approaches for causal inference in observational data.

Quite fundamental and basic stuff for causal inference, but it is a good start.

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Rating 3.8 based on 37 ratings
Length 6 weeks
Starts Jul 12 (145 weeks ago)
Cost $49
From University of Copenhagen via Coursera
Instructor Anders Holm
Download Videos On all desktop and mobile devices
Language English
Subjects Social Sciences Data Science Mathematics
Tags Social Sciences Data Science Governance And Society Probability And Statistics

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