Causality, Confounding, and Simpson's Paradox

This is an introductory article which explains the importance of explicit consideration and modeling of causality, contrary to current econometric practice, in order to use data set for extraction of meaningful information. One of the easiest to understand approaches to causality is via Simpson's paradox. We will use this paradox, framed in different real-world contexts, to provide an introduction to basic concepts of causality.

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Year of publication:	2020
Authors:	Zaman, Asad ; Salahuddin, Taseer
Published in:	International Econometric Review (IER). - Ankara : Econometric Research Association (ERA), ISSN 1308-8815. - Vol. 12.2020, 1, p. 50-74
Publisher:	Ankara : Econometric Research Association (ERA)
Subject:	Simpson's Paradox \| Causality \| Econometrics \| Confounders \| Mediators

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Type of publication:	Article
Type of publication (narrower categories):	Article
Language:	English
Other identifiers:	10.33818/ier.687042 [DOI] 1728503728 [GVK] hdl:10419/238838 [Handle] RePEc:erh:journl:v:12:y:2020:i:1:p:50-74 [RePEc]
Classification:	C0 - Mathematical and Quantitative Methods. General ; C1 - Econometric and Statistical Methods: General
Source:	EconStor

Persistent link: https://www.econbiz.de/10012610979