Causal Graphs
Vikram Dayal () and
Anand Murugesan ()
Additional contact information
Vikram Dayal: Institute of Economic Growth
Anand Murugesan: Central European University
Chapter Chapter 5 in Demystifying Causal Inference, 2023, pp 65-80 from Springer
Abstract:
Abstract Causal graphs help us understand issues in causal inference. Although anchored in mathematics, they provide visual cues that aid intuition and understanding (Elwert 2013).
Keywords: causal graph; Directed acyclic graph; Pearl; Backdoor; Collider; ggdag (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-99-3905-3_5
Ordering information: This item can be ordered from
http://www.springer.com/9789819939053
DOI: 10.1007/978-981-99-3905-3_5
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().