Optimal Matching Approaches in Health Policy Evaluations Under Rolling Enrolment

Samuel D. Pimentel, Lauren Vollmer Forrow, Jonathan Gellar and Jiaqi Li

Mathematica Policy Research Reports from Mathematica Policy Research

Abstract: Comparison group selection is paramount for health policy evaluations, where randomization is seldom practicable. Rolling enrolment is common in these evaluations, introducing challenges for comparison group selection and inference.

Keywords: Causal inference; Health policy evaluation; Matching; Network optimization; Propensity score; Rolling enrolment (search for similar items in EconPapers)
References: Add references at CitEc
Citations:

Downloads: (external link)
https://rss.onlinelibrary.wiley.com/doi/full/10.1111/rssa.12521 (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:mpr:mprres:a1479c6239c14d1dafd83a1f84761f86

Access Statistics for this paper

More papers in Mathematica Policy Research Reports from Mathematica Policy Research Mathematica Policy Research P.O. Box 2393 Princeton, NJ 08543-2393 Attn: Communications. Contact information at EDIRC.
Bibliographic data for series maintained by Joanne Pfleiderer () and Cindy George ( this e-mail address is bad, please contact ).