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.
Medição de Causa e Efeito nas Ciências Sociais
Universidade de CopenhagueInformações sobre o curso
Resultados de carreira do aprendiz
17%
17%
Habilidades que você terá
Resultados de carreira do aprendiz
17%
17%
oferecido por

Universidade de Copenhague
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.
Programa - O que você aprenderá com este curso
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.
Avaliações
Principais avaliações do MEDIÇÃO DE CAUSA E EFEITO NAS CIÊNCIAS SOCIAIS
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.
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.
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.
The course was well structured and helped to identify different approaches used to measure causality. Overall a well designed course.
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