Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/238838 
Year of Publication: 
2020
Citation: 
[Journal:] International Econometric Review (IER) [ISSN:] 1308-8815 [Volume:] 12 [Issue:] 1 [Publisher:] Econometric Research Association (ERA) [Place:] Ankara [Year:] 2020 [Pages:] 50-74
Publisher: 
Econometric Research Association (ERA), Ankara
Abstract: 
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.
Subjects: 
Simpson's Paradox
Causality
Econometrics
Confounders
Mediators
JEL: 
C0
C1
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.