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Measuring Causal Effects in the Social Sciences

University of Copenhagen via Coursera

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  • Provider Coursera
  • Subject Sociology
  • $ Cost Free Online Course (Audit)
  • Session Upcoming
  • Language English
  • Certificate Paid Certificate Available
  • Effort 3-5 hours a week
  • Start Date
  • Duration 5 weeks long

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Overview

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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.

Syllabus

The Nature of Causal Effects and How to Measure Them
Welcome to the first week of the course! Thıs week we are looking at the nature of causal effects and how to measure them.

The Multivariate Regression Model and Mediating Factors
This second module introduces you multivariate regression model and the concept of mediating factors.

Randomized Controlled Trials
In this third week of the course we are having a closer look at causality and the randomzied controlled trial.

Instrumental Variables
The fourth week of the course we will go through the concept of instrumental variables.

Difference in Difference
The final module of the course deals with the difference in difference. We hope you enjoyed the course and have learned something that you can use in your future work and research.

Taught by

Anders Holm

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Reviews for Coursera's Measuring Causal Effects in the Social Sciences
2.5 Based on 2 reviews

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  • 1
Adam Q
4.0 2 months ago
Adam completed this course, spending 2 hours a week on it and found the course difficulty to be medium.
I found this course to be particularly useful, as it introduces lots of common terminologies used for social science researches.
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Huy H
1.0 4 years ago
Huy dropped this course, spending 1 hours a week on it and found the course difficulty to be easy.
0 person found
this review helpful
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