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Measuring Causal Effects in the Social Sciences

OverviewSyllabusFAQsCreatorsRatings and Reviews

HomeSocial SciencesGovernance and Society

Measuring Causal Effects in the Social Sciences

University of Copenhagen

About this course: 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.


Created by:  University of Copenhagen
University of Copenhagen

  • Anders Holm

    Taught by:  Anders Holm, Professor

    Department of Sociology
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.1 stars
Average User Rating 4.1See what learners said
Syllabus
WEEK 1
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.
1 video, 1 reading
  1. Reading: Course information
  2. Video: Lecture 1 - The Nature of Causal Effects and How to Measure Them
Graded: Module 1 Lecture Quiz
Graded: Module 1 Case Quiz
WEEK 2
The Multivariate Regression Model and Mediating Factors
This second module introduces you multivariate regression model and the concept of mediating factors.
1 video
  1. Video: Lecture 2 - The Multivariate Regression Model and Mediating Factors
Graded: Module 2 Lecture Quiz
Graded: Module 2 Case Quiz
WEEK 3
Randomized Controlled Trials
In this third week of the course we are having a closer look at causality and the randomzied controlled trial.
1 video
  1. Video: Lecture 3 - Randomized Controlled Trials
Graded: Module 3 Lecture Quiz
Graded: Module 3 Case Quiz
WEEK 4
Instrumental Variables
The fourth week of the course we will go through the concept of instrumental variables.
1 video
  1. Video: Lecture 4 - Instrumental Variables
Graded: Module 4 Lecture Quiz
Graded: Module 4a Case Quiz
Graded: Module 4b Case Quiz
WEEK 5
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.
1 video
  1. Video: Lecture 5 - Difference in Difference
Graded: Module 5 Lecture Quiz
Graded: Module 5 Case Cuiz

FAQs
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Coursework
Coursework

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Creators
University of Copenhagen
The University of Copenhagen is the oldest University in Denmark - founded in 1479, and with over 38,000 students and more than 9,000 employees. The purpose of the University is to conduct research and provide education to the highest academic level. Based in Denmark's capital city it is one of the top research institutions in Europe.
Ratings and Reviews
Rated 4.1 out of 5 of 67 ratings

TW

Good course that takes participants from linear regression to RCT and approaches for causal inference in observational data. Four stars are given as some of the quizes include questions on specific estimates from lectures instead of more general aspects.

DR AKSHAY NABAR

The course covers many important topics with good examples but could have been longer and more detailed about various assumptions and their violations. The accent of the instructor and many algebraic notations are diificult to understand for non-mathematicians or non-statisticians like myself.

CS

Very good course! I learned a lot. I missed readings and other complementary material.

Diego Paucar

The course is great. Although it is really fast and requires some advanced understanding of algebra and statistics, it is not bad. However, I would reccommend to expand it and to include the advances in non-manipulative causation, as sustained by proff. J. Pearl and F. Squazzoni (specifically talking about sociology).



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