Measuring Causal Effects in the Social Sciences

Name: Measuring Causal Effects in the Social Sciences
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Author: University of Copenhagen

Curso

Inglês

Fonte

De www.coursera.org

CONDIÇÕES

Individualizado
Acesso livre
Certificado pago

Mais informações

5 sequências
Introductive Level

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Detalhes do curso

Programa de Estudos

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.
Week 2 - The Multivariate Regression Model and Mediating Factors
This second module introduces you multivariate regression model and the concept of mediating factors.
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.
Week 4 - Instrumental Variables
The fourth week of the course we will go through the concept of instrumental variables.
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.

Pré-requisito

Nenhum.

Instrutores

Anders Holm
Professor
Department of Sociology

Editor

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.

Plataforma

A Coursera é uma empresa digital que oferece um curso on-line massivo e aberto, fundado pelos professores de computação Andrew Ng e Daphne Koller Stanford University, localizado em Mountain View, Califórnia.

O Coursera trabalha com as melhores universidades e organizações para disponibilizar alguns dos seus cursos on-line e oferece cursos em várias disciplinas, incluindo: física, engenharia, humanidades, medicina, biologia, ciências sociais, matemática, negócios, ciência da computação, marketing digital, ciência de dados. e outros assuntos.Cours

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