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.
Get started with custom lists to organize and share courses.
Sign upClass Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
Measuring Causal Effects in the Social Sciences
University of Copenhagen via Coursera
Found in
Sociology
Never miss a course! Add as "Interested" to get notified of this course's next session
- Provider Coursera
- 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
- Learn more about MOOCs
Taken this course? Share your experience with other students. Write review
Become a Data Scientist datacamp.com
Learn Python & R at your own pace. Start now for free!
AD
Class Central Custom Lists
Build and share your own catalog of courses with Class Central's custom lists.
Overview
Class Central Tips
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.
-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
Help Center
Reviews
for Coursera's Measuring Causal Effects in the Social Sciences
Based on
2 reviews
- 5 star 0%
- 4 star 50%
- 3 star 0%
- 2 star 0%
- 1 star 50%
Did you take this course? Share your experience with other students.
Write a review- 1
Adam Q
a year ago
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.
Was this review helpful to you?
Yes
Huy H
5 years ago
is taking this course right now, spending 1 hours a week on it and found the course difficulty to be easy.
0
person found
this review helpful
this review helpful
Was this review helpful to you?
Yes
- 1
Class Central
Get personalized course recommendations, track subjects and courses with reminders, and more.
Never Stop Learning!
Get personalized course recommendations, track subjects and courses with reminders, and more.
