Monotone Ecological Inference
Hadi Elzayn,
Jacob Goldin,
Cameron Guage,
Daniel E. Ho and
Claire Morton
No 34285, NBER Working Papers from National Bureau of Economic Research, Inc
Abstract:
We study monotone ecological inference, a partial identification approach to ecological inference. The approach exploits information about one or both of the following conditional associations: (1) outcome differences between groups within the same neighborhood, and (2) outcomes differences within the same group across neighborhoods with different group compositions. We show how assumptions about the sign of these conditional associations, whether individually or in relation to one another, can yield informative sharp bounds in ecological inference settings. We illustrate our proposed approach using county-level data to study differences in Covid-19 vaccination rates among Republicans and Democrats in the United States.
JEL-codes: C1 C10 C13 C18 C21 (search for similar items in EconPapers)
Date: 2025-09
Note: LS POL TWP
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.nber.org/papers/w34285.pdf (application/pdf)
Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at http://www.nber.org/wwphelp.html. Free access is also available to older working papers.
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:nbr:nberwo:34285
Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w34285
The price is Paper copy available by mail.
Access Statistics for this paper
More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().