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.
提供方
测量社会科学中的因果效应
哥本哈根大学课程信息
2,499 次近期查看
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完成时间大约为7 小时
英语（English）
字幕：英语（English）
您将获得的技能
- Difference In Differences
- Instrumental Variable
- Causal Inference
- Causality
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
完成时间大约为7 小时
英语（English）
字幕：英语（English）
提供方
哥本哈根大学
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.
授课大纲 - 您将从这门课程中学到什么
完成时间为 1 小时
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.
完成时间为 1 小时
1 个视频 （总计 12 分钟）, 1 个阅读材料, 2 个测验
完成时间为 1 小时
The Multivariate Regression Model and Mediating Factors
This second module introduces you multivariate regression model and the concept of mediating factors.
完成时间为 1 小时
1 个视频 （总计 12 分钟）
完成时间为 1 小时
Randomized Controlled Trials
In this third week of the course we are having a closer look at causality and the randomzied controlled trial.
完成时间为 1 小时
1 个视频 （总计 16 分钟）
完成时间为 2 小时
Instrumental Variables
The fourth week of the course we will go through the concept of instrumental variables.
完成时间为 2 小时
1 个视频 （总计 23 分钟）
审阅
来自测量社会科学中的因果效应的热门评论
由 AA 提供Jan 10, 2021
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.
由 VB 提供Jul 24, 2016
Material is good Lecture style is dull, monotonous & uninspiring\n\nFor best results - follow the advice given in the MOOC, i.e read relevant readings before viewing lectures.
由 M 提供Mar 11, 2020
Some Reading Materials such as journal articles on similar methods covered in course would have been a great inclusion as a part of the exercises.
由 A 提供Sep 10, 2019
The course was well structured and helped to identify different approaches used to measure causality. Overall a well designed course.
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