Visualizing Causal Hypotheses in Environmental Econometrics
Pierce Donovan
Review of Environmental Economics and Policy, 2024, vol. 18, issue 2, 331 - 342
Abstract:
Environmental economists have gravitated toward writing empirical papers with an emphasis on causal inference. Despite this development, there has not been much progress in adopting an explicit framework for communicating causal hypotheses based on prior beliefs about the structure of a data-generating process. This shortfall reduces the transparency and accessibility of the assumptions underlying effect identification and limits the feasibility of causal hypotheses testing. This article explains why an explicit framework is worthwhile and demonstrates how directed acyclic graphs can augment and standardize the communication of causal knowledge.
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://dx.doi.org/10.1086/730632 (application/pdf)
http://dx.doi.org/10.1086/730632 (text/html)
Access to the online full text or PDF requires a subscription.
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:ucp:renvpo:doi:10.1086/730632
Access Statistics for this article
More articles in Review of Environmental Economics and Policy from University of Chicago Press
Bibliographic data for series maintained by Journals Division ().