Measuring Causal Effects in the Social Sciences

Offered By

Measuring Causal Effects in the Social Sciences

University of Copenhagen

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....

100% online courses

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Suggested: 5 hours/week

Approx. 6 hours to complete

English

Subtitles: English

Skills you will gain

Difference In DifferencesInstrumental VariableCausal InferenceCausality

100% online courses

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Suggested: 5 hours/week

Approx. 6 hours to complete

English

Subtitles: English

Syllabus - What you will learn from this course

1

Section

1 hour to complete

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 (Total 12 min), 1 reading, 2 quizzes

1 video

Lecture 1 - The Nature of Causal Effects and How to Measure Them 11m

1 reading

Course information10m

2 practice exercises

Module 1 Lecture Quiz20m

Module 1 Case Quiz6m

2

Section

1 hour to complete

The Multivariate Regression Model and Mediating Factors

This second module introduces you multivariate regression model and the concept of mediating factors....

1 video (Total 12 min), 2 quizzes

1 video

Lecture 2 - The Multivariate Regression Model and Mediating Factors11m

2 practice exercises

Module 2 Lecture Quiz20m

Module 2 Case Quiz8m

3

Section

1 hour to complete

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 (Total 16 min), 2 quizzes

1 video

Lecture 3 - Randomized Controlled Trials 15m

2 practice exercises

Module 3 Lecture Quiz20m

Module 3 Case Quiz6m

4

Section

1 hour to complete

Instrumental Variables

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

1 video (Total 23 min), 3 quizzes

1 video

Lecture 4 - Instrumental Variables23m

3 practice exercises

Module 4 Lecture Quiz20m

Module 4a Case Quiz6m

Module 4b Case Quiz8m

Instructor

Anders Holm

Professor

Department of Sociology

About 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. ...

Frequently Asked Questions

When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
Is financial aid available?

More questions? Visit the Learner Help Center.

Coursera provides universal access to the world’s best education, partnering with top universities and organizations to offer courses online.