EconPapers    
Economics at your fingertips  
 

On the Monotonicity of a Nondifferentially Mismeasured Binary Confounder

Peña Jose M. ()
Additional contact information
Peña Jose M.: IDA, Linköping University, LinköpingSweden

Journal of Causal Inference, 2020, vol. 8, issue 1, 150-163

Abstract: Suppose that we are interested in the average causal effect of a binary treatment on an outcome when this relationship is confounded by a binary confounder. Suppose that the confounder is unobserved but a nondifferential proxy of it is observed. We show that, under certain monotonicity assumption that is empirically verifiable, adjusting for the proxy produces a measure of the effect that is between the unadjusted and the true measures.

Keywords: average causal effect; confounding; monotonicity (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://doi.org/10.1515/jci-2020-0014 (text/html)

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:bpj:causin:v:8:y:2020:i:1:p:150-163:n:8

DOI: 10.1515/jci-2020-0014

Access Statistics for this article

Journal of Causal Inference is currently edited by Elias Bareinboim, Jin Tian and Iván Díaz

More articles in Journal of Causal Inference from De Gruyter
Bibliographic data for series maintained by Peter Golla ().

 
Page updated 2025-03-19
Handle: RePEc:bpj:causin:v:8:y:2020:i:1:p:150-163:n:8