Causality

Tshilidzi Marwala; Evan Hurwitz

doi:10.1007/978-3-319-66104-9_14

Causality

Tshilidzi Marwala, Evan Hurwitz

Faculty of Engineering and the Built Environment

University of Johannesburg

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Causality is a powerful concept which is at the heart of markets. Often, one wants to establish whether a particular attribute causes another. As human beings, we have perceived causality through correlation. Because of this fact, causality has often been confused for correlation. This chapter studies the evolution of causality including the influential work of David Hume and its relevance to economics and finance. It studies various concepts and models of causality such as transmission, Granger and Pearl models of causality. The transmission model of causality states that for causality to exist, there should be a flow of information from the cause to the effect. Simple example of the study on the link between circumcision and risk of HIV are used in this chapter.

Original language	English
Title of host publication	Advanced Information and Knowledge Processing
Publisher	Springer London
Pages	159-169
Number of pages	11
Edition	9783319661032
DOIs	https://doi.org/10.1007/978-3-319-66104-9_14
Publication status	Published - 2017

Publication series

Name	Advanced Information and Knowledge Processing
Number	9783319661032
ISSN (Print)	1610-3947
ISSN (Electronic)	2197-8441

ASJC Scopus subject areas

Management Information Systems
Information Systems
Information Systems and Management
Artificial Intelligence

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-3-319-66104-9_14

Cite this

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Causality

Abstract

Publication series

ASJC Scopus subject areas

UN SDGs

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