Measuring Causal Effects in the Social Sciences
University of Copenhagen via Coursera
Overview
Class Central Tips
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
3.3 rating, based on 3 reviews
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This is a challenging course, especially for those who only intend to breeze through the videos alone. Reading the recommended text before and/or after the videos is strongly advised.
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Adam Quek
Adam Quek 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. -
Huy
Huy is taking this course right now, spending 1 hours a week on it and found the course difficulty to be easy.
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