关于此课程： 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.
制作方： University of Copenhagen
教学方： Anders Holm, Professor
Department of Sociology
| 语言 | English |
| 如何通过 | 通过所有计分作业以完成课程。 |
| 用户评分 |
授课大纲
第 1 周
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 个视频, 1 个阅读材料
- Reading: Course information
已评分: Module 1 Lecture Quiz
已评分: Module 1 Case Quiz
第 2 周
The Multivariate Regression Model and Mediating Factors
This second module introduces you multivariate regression model and the concept of mediating factors.
1 个视频
已评分: Module 2 Lecture Quiz
已评分: Module 2 Case Quiz
第 3 周
Randomized Controlled Trials
In this third week of the course we are having a closer look at causality and the randomzied controlled trial.
1 个视频
已评分: Module 3 Lecture Quiz
已评分: Module 3 Case Quiz
第 4 周
Instrumental Variables
The fourth week of the course we will go through the concept of instrumental variables.
1 个视频
已评分: Module 4 Lecture Quiz
已评分: Module 4a Case Quiz
已评分: Module 4b Case Quiz
第 5 周
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 个视频
已评分: Module 5 Lecture Quiz
已评分: Module 5 Case Cuiz
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制作方
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.
评分和审阅
Throughout this course, I could deepen my understanding on practical use of statistics for social siceinces. Its simple mathematical proof on estimations methods is useful for practitioners
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.
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.
Great course! I finally understood the relation between RCT's, Instrumental Variables and DiDs. The prior suggested readings helped a lot, and the classes were very well conducted with intuitive explanations before the formal derivations that were also very helpful.